Time-Ahead-Basic-LSTM-Avg-Voxel-Old-1.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "rN8VtTibW_kL"
   },
   "source": [
    "Set Colab to GPU Mode if you are training the models!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ESNkUUOEoS8j"
   },
   "source": [
    "### Mounting Google Drive"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "GWpiHXuGn6Oy",
    "outputId": "2ccc1d4e-1516-4e2e-e666-e28ef97cde69"
   },
   "outputs": [],
   "source": [
    "# from google.colab import drive\n",
    "# drive.mount('/content/drive')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "bpxEP-yeoWPX",
    "outputId": "a581e75e-fd8e-47d4-a5fa-db65a86e8412"
   },
   "outputs": [],
   "source": [
    "# cd 'drive/MyDrive/IIT J Summer Internship 2022/Code/Neural-Uncertainty-Representation/'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Hq9mNRMMomT7"
   },
   "source": [
    "### Importing Necessary Libraries\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "id": "SRXBkwcIogPe"
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "import tensorflow as tf\n",
    "\n",
    "from tensorflow.keras.layers import Dense, Dropout, LSTM, TimeDistributed\n",
    "from tensorflow.keras.models import Sequential\n",
    "from tensorflow.keras.optimizers import Adam\n",
    "\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import os"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "_R2-Cetmxned"
   },
   "source": [
    "### Importing Data\n",
    "We import the data of a old subject's 3D-Tensor Data of dimensions (TR, Voxel, Number of Subjects) for the 5 different ROIs as follows:\n",
    "- **Prefrontal areas:** dlPFC, vlPFC, lOFC, dmPFC, mPFC, mOFC\n",
    "- **Default-mode areas:** mPFC, ACC, PCC, Precuneus, mOFC\n",
    "- **Sensory areas:** VC\n",
    "- **Multisensory area:** pSTS\n",
    "- **Some other areas:** TP, IPL, mCC, Put, PCG, Nac, INS\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "XUJPFBg1898z"
   },
   "outputs": [],
   "source": [
    "# file_names = [name for name in os.listdir('/content/drive/MyDrive/IIT J Summer Internship 2022/Hitchcock/Data/OLD/Voxel_BOLD/Numpy') if name.endswith(\"npy\") and (\"(1)\" not in name)]\n",
    "file_names = [name for name in os.listdir('./Data/OLD/Voxel_BOLD/Numpy') if name.endswith(\"npy\") and (\"(1)\" not in name)]\n",
    "file_names = [name for name in file_names if (\"537\" not in name)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "id": "5lVnzf5N_Ufy"
   },
   "outputs": [],
   "source": [
    "ROI_names = [file_name.replace(\"data_\",\"\").replace(\".npy\",\"\") for file_name in file_names]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "id": "Kg22rkIGpfP2"
   },
   "outputs": [],
   "source": [
    "data_ori = list()\n",
    "for file_name in file_names:\n",
    "    # data_ori.append(np.load('/content/drive/MyDrive/IIT J Summer Internship 2022/Hitchcock/Data/OLD/Voxel_BOLD/Numpy/'+file_name))\n",
    "    data_ori.append(np.load('./Data/OLD/Voxel_BOLD/Numpy/'+file_name))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Kcaxzm8WDjgO"
   },
   "source": [
    "### Data Preparation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "K9rJ8CAb97K2"
   },
   "source": [
    "Now, here we prepare the data to be fed to the Neural Network Architechtures. We can't predict the time ahead upto which the subjects are predicting correctly so, we will take a bit round about way to predict the BOLD values ahead in time(for several choices of time points e.g. 1 time point ahead, 2 time point ahead, etc) and will compare the results for young and old subjects."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "im3Oqy2ueeEU"
   },
   "source": [
    "Right from the starting we decide some of the data preparation parameters, so that we can use them as we require."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "id": "X1DoZ2Fcec20"
   },
   "outputs": [],
   "source": [
    "TRAIN_BATCH_SIZE = 20\n",
    "TEST_BATCH_SIZE = 10\n",
    "LOOK_AHEADS = list(range(1, 16)) \n",
    "NUM_TEST_SUBS = 10"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "TYuu8ZM2-u9z"
   },
   "source": [
    "We will start a basic data preparation where we will average across all the voxels for a ROI and fit the model which predicts this average BOLD value. Later we will avoid doing an average since, all voxels in a ROI is not equally important and hence we will want to predict the BOLD values of several voxels simultaneously."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "id": "pFvaFL69geft"
   },
   "outputs": [],
   "source": [
    "data = [np.mean(dat, axis=1, keepdims=True) for dat in data_ori]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "mY3usMssn3T5"
   },
   "source": [
    "Let's Start the Data Preparation for lOFC later we will iterate the same procedure for the other ROIs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "71dv3Zkcgu3N",
    "outputId": "9dfa0cb6-dc7b-4404-cc7b-32268ad7201f"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dlPFC Average BOLD Shape: (189, 1, 98)\n"
     ]
    }
   ],
   "source": [
    "print(ROI_names[-1], \"Average BOLD Shape:\", data[-1].shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "jG7ofnvRczcN"
   },
   "source": [
    "Below, we see the average BOLD time series plot for all the ROIs."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "-wIOccLpE0d-"
   },
   "source": [
    "We have changed the data in the form (Number of Subjects, TR, Voxels) below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "id": "0pHK54KjDnah"
   },
   "outputs": [],
   "source": [
    "data = [np.transpose(dat, (2,0,1)) for dat in data]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "HRXHJ1cwgrzp",
    "outputId": "bb9ef066-2eae-47cc-deeb-4743cda8a59e"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dlPFC Average BOLD Shape: (98, 189, 1)\n"
     ]
    }
   ],
   "source": [
    "print(ROI_names[-1], \"Average BOLD Shape:\", data[-1].shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "id": "AseI4ZNeg26E"
   },
   "outputs": [],
   "source": [
    "# for i in range(len(data)):  \n",
    "#   plt.figure(figsize=(10, 8))\n",
    "#   plt.plot(data[i][0,:,0])\n",
    "#   plt.title(\"Average BOLD of 1st Subject for \"+ROI_names[i])\n",
    "#   plt.xlabel(\"TRs\")\n",
    "#   plt.ylabel(\"Average BOLD(over voxels)\")\n",
    "#   plt.savefig(\"./Plots/OLD/AVG-BOLD/AVG-BOLD-\"+ROI_names[i]+\".png\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "gg50q17pp5xQ"
   },
   "source": [
    "We split the dataset of 98 old subjects into 88 subjects in the training data and 10 subject in the test data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "id": "hrldyz8XnDlv"
   },
   "outputs": [],
   "source": [
    "train_data_unscaled = [dat[:-NUM_TEST_SUBS] for dat in data]\n",
    "test_data_unscaled = [dat[-NUM_TEST_SUBS:] for dat in data]  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "MDV7H0sYt6jd"
   },
   "source": [
    "We scaled the BOLD values of each voxel in the train data between 0 and 1 for each voxel. We use the same MinMaxScaler fit on the train data on the test data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "id": "-xkJQLj3tORj"
   },
   "outputs": [],
   "source": [
    "scalers = list()\n",
    "for i in range(len(ROI_names)):\n",
    "  scalers.append(MinMaxScaler(feature_range = (0, 1)))\n",
    "train_data = [sc.fit_transform(dat[:,:,0]) for sc, dat in zip(scalers, train_data_unscaled)] \n",
    "test_data = [sc.transform(dat[:,:,0]) for sc, dat in zip(scalers, test_data_unscaled)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "id": "Ail126iVuR6s"
   },
   "outputs": [],
   "source": [
    "train_data = [np.expand_dims(dat, axis = -1) for dat in train_data]\n",
    "test_data = [np.expand_dims(dat, axis = -1) for dat in test_data]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "_cOAv_VrnbLU",
    "outputId": "ca52cae0-fbc2-4a11-ae29-af58d9fe53e0"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dlPFC Train Data Shape:  (88, 189, 1)\n",
      "dlPFC Test Data Shape:  (10, 189, 1)\n"
     ]
    }
   ],
   "source": [
    "print(ROI_names[-1], \"Train Data Shape: \", train_data[-1].shape)\n",
    "print(ROI_names[-1], \"Test Data Shape: \", test_data[-1].shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "id": "YIlJSRX92txN"
   },
   "outputs": [],
   "source": [
    "# for i in range(len(data)):  \n",
    "#   plt.figure(figsize=(10, 8))\n",
    "#   plt.plot(train_data[i][0,:,0])\n",
    "#   plt.title(\"Average BOLD of 1st Subject for \"+ROI_names[i])\n",
    "#   plt.xlabel(\"TRs\")\n",
    "#   plt.ylabel(\"Average BOLD(over voxels)[Scaled between 0 and 1]\")\n",
    "#   plt.savefig(\"./Plots/OLD/AVG-BOLD/AVG-BOLD-SCALED-\"+ROI_names[i]+\".png\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "0yjlAwWeiEru"
   },
   "source": [
    "We now build a data generator which would produce mini-batches during the training of the neural network."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "id": "Blko7LXpgtwA"
   },
   "outputs": [],
   "source": [
    "class KerasBatchGenerator(object):\n",
    "    def __init__(self, data, num_TRs, batch_size, look_ahead=1):\n",
    "        self.data = data\n",
    "        self.num_TRs = num_TRs\n",
    "        self.batch_size = batch_size\n",
    "        self.current_idx = 0\n",
    "        self.look_ahead = look_ahead\n",
    "\n",
    "    def generate(self):\n",
    "        while True:\n",
    "            if self.current_idx + self.batch_size >= self.data.shape[0]:\n",
    "              self.current_idx = 0\n",
    "            x = self.data[self.current_idx:(self.current_idx+self.batch_size),:(-self.look_ahead),:]\n",
    "            y = self.data[self.current_idx:(self.current_idx+self.batch_size),self.look_ahead:,:]\n",
    "            self.current_idx = self.current_idx + self.batch_size\n",
    "            yield x, y "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "id": "lZN56Eg3mrsc"
   },
   "outputs": [],
   "source": [
    "train_data_generator, test_data_generator = list(), list()\n",
    "for LOOK_AHEAD in LOOK_AHEADS:\n",
    "    train_data_generator.append([KerasBatchGenerator(dat, dat.shape[1], TRAIN_BATCH_SIZE, LOOK_AHEAD) for dat in train_data])\n",
    "    test_data_generator.append([KerasBatchGenerator(dat, dat.shape[1], TEST_BATCH_SIZE, LOOK_AHEAD) for dat in test_data])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "5UPT6iRxpJ7c",
    "outputId": "3512d1f5-6a04-4819-94b9-0229bc0cdef4"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dlPFC Train Batch X Shape for 1 Ahead:  (20, 188, 1)\n",
      "dlPFC Train Batch y Shape for 1 Ahead:  (20, 188, 1)\n",
      "dlPFC Train Batch X Shape for 2 Ahead:  (20, 187, 1)\n",
      "dlPFC Train Batch y Shape for 2 Ahead:  (20, 187, 1)\n",
      "dlPFC Train Batch X Shape for 3 Ahead:  (20, 186, 1)\n",
      "dlPFC Train Batch y Shape for 3 Ahead:  (20, 186, 1)\n",
      "dlPFC Train Batch X Shape for 4 Ahead:  (20, 185, 1)\n",
      "dlPFC Train Batch y Shape for 4 Ahead:  (20, 185, 1)\n",
      "dlPFC Train Batch X Shape for 5 Ahead:  (20, 184, 1)\n",
      "dlPFC Train Batch y Shape for 5 Ahead:  (20, 184, 1)\n",
      "dlPFC Train Batch X Shape for 6 Ahead:  (20, 183, 1)\n",
      "dlPFC Train Batch y Shape for 6 Ahead:  (20, 183, 1)\n",
      "dlPFC Train Batch X Shape for 7 Ahead:  (20, 182, 1)\n",
      "dlPFC Train Batch y Shape for 7 Ahead:  (20, 182, 1)\n",
      "dlPFC Train Batch X Shape for 8 Ahead:  (20, 181, 1)\n",
      "dlPFC Train Batch y Shape for 8 Ahead:  (20, 181, 1)\n",
      "dlPFC Train Batch X Shape for 9 Ahead:  (20, 180, 1)\n",
      "dlPFC Train Batch y Shape for 9 Ahead:  (20, 180, 1)\n",
      "dlPFC Train Batch X Shape for 10 Ahead:  (20, 179, 1)\n",
      "dlPFC Train Batch y Shape for 10 Ahead:  (20, 179, 1)\n",
      "dlPFC Train Batch X Shape for 11 Ahead:  (20, 178, 1)\n",
      "dlPFC Train Batch y Shape for 11 Ahead:  (20, 178, 1)\n",
      "dlPFC Train Batch X Shape for 12 Ahead:  (20, 177, 1)\n",
      "dlPFC Train Batch y Shape for 12 Ahead:  (20, 177, 1)\n",
      "dlPFC Train Batch X Shape for 13 Ahead:  (20, 176, 1)\n",
      "dlPFC Train Batch y Shape for 13 Ahead:  (20, 176, 1)\n",
      "dlPFC Train Batch X Shape for 14 Ahead:  (20, 175, 1)\n",
      "dlPFC Train Batch y Shape for 14 Ahead:  (20, 175, 1)\n",
      "dlPFC Train Batch X Shape for 15 Ahead:  (20, 174, 1)\n",
      "dlPFC Train Batch y Shape for 15 Ahead:  (20, 174, 1)\n"
     ]
    }
   ],
   "source": [
    "batch_xs, batch_ys = list(), list()\n",
    "for LOOK_AHEAD in LOOK_AHEADS:\n",
    "    batch = next(train_data_generator[LOOK_AHEAD-1][-1].generate())\n",
    "    batch_xs.append(batch[0])\n",
    "    batch_ys.append(batch[1])\n",
    "    print(f\"{ROI_names[-1]} Train Batch X Shape for {LOOK_AHEAD} Ahead: \", batch_xs[LOOK_AHEAD-1].shape)\n",
    "    print(f\"{ROI_names[-1]} Train Batch y Shape for {LOOK_AHEAD} Ahead: \", batch_ys[LOOK_AHEAD-1].shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "Clavfro-pSEV",
    "outputId": "2f9380f5-1bf0-47f7-c4c5-4fe25999be8a"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dlPFC Test Batch X Shape for 1 Ahead:  (10, 188, 1)\n",
      "dlPFC Test Batch y Shape for 1 Ahead:  (10, 188, 1)\n",
      "dlPFC Test Batch X Shape for 2 Ahead:  (10, 187, 1)\n",
      "dlPFC Test Batch y Shape for 2 Ahead:  (10, 187, 1)\n",
      "dlPFC Test Batch X Shape for 3 Ahead:  (10, 186, 1)\n",
      "dlPFC Test Batch y Shape for 3 Ahead:  (10, 186, 1)\n",
      "dlPFC Test Batch X Shape for 4 Ahead:  (10, 185, 1)\n",
      "dlPFC Test Batch y Shape for 4 Ahead:  (10, 185, 1)\n",
      "dlPFC Test Batch X Shape for 5 Ahead:  (10, 184, 1)\n",
      "dlPFC Test Batch y Shape for 5 Ahead:  (10, 184, 1)\n",
      "dlPFC Test Batch X Shape for 6 Ahead:  (10, 183, 1)\n",
      "dlPFC Test Batch y Shape for 6 Ahead:  (10, 183, 1)\n",
      "dlPFC Test Batch X Shape for 7 Ahead:  (10, 182, 1)\n",
      "dlPFC Test Batch y Shape for 7 Ahead:  (10, 182, 1)\n",
      "dlPFC Test Batch X Shape for 8 Ahead:  (10, 181, 1)\n",
      "dlPFC Test Batch y Shape for 8 Ahead:  (10, 181, 1)\n",
      "dlPFC Test Batch X Shape for 9 Ahead:  (10, 180, 1)\n",
      "dlPFC Test Batch y Shape for 9 Ahead:  (10, 180, 1)\n",
      "dlPFC Test Batch X Shape for 10 Ahead:  (10, 179, 1)\n",
      "dlPFC Test Batch y Shape for 10 Ahead:  (10, 179, 1)\n",
      "dlPFC Test Batch X Shape for 11 Ahead:  (10, 178, 1)\n",
      "dlPFC Test Batch y Shape for 11 Ahead:  (10, 178, 1)\n",
      "dlPFC Test Batch X Shape for 12 Ahead:  (10, 177, 1)\n",
      "dlPFC Test Batch y Shape for 12 Ahead:  (10, 177, 1)\n",
      "dlPFC Test Batch X Shape for 13 Ahead:  (10, 176, 1)\n",
      "dlPFC Test Batch y Shape for 13 Ahead:  (10, 176, 1)\n",
      "dlPFC Test Batch X Shape for 14 Ahead:  (10, 175, 1)\n",
      "dlPFC Test Batch y Shape for 14 Ahead:  (10, 175, 1)\n",
      "dlPFC Test Batch X Shape for 15 Ahead:  (10, 174, 1)\n",
      "dlPFC Test Batch y Shape for 15 Ahead:  (10, 174, 1)\n"
     ]
    }
   ],
   "source": [
    "batch_xs, batch_ys = list(), list()\n",
    "for LOOK_AHEAD in LOOK_AHEADS:\n",
    "    batch = next(test_data_generator[LOOK_AHEAD-1][-1].generate())\n",
    "    batch_xs.append(batch[0])\n",
    "    batch_ys.append(batch[1])\n",
    "    print(f\"{ROI_names[-1]} Test Batch X Shape for {LOOK_AHEAD} Ahead: \", batch_xs[LOOK_AHEAD-1].shape)\n",
    "    print(f\"{ROI_names[-1]} Test Batch y Shape for {LOOK_AHEAD} Ahead: \", batch_ys[LOOK_AHEAD-1].shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "31NRewZjqoi1"
   },
   "source": [
    "### Building Model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "8Ry-jGmHqqx0"
   },
   "source": [
    "We will start off by building a LSTM Model:\n",
    "- `Number of LSTM Layers = 1`\n",
    "- `Number of Dense Layers = 2`\n",
    "- `hidden units = 32`\n",
    "- `dropout = 0.3`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "id": "AKDAJkiVgK2n"
   },
   "outputs": [],
   "source": [
    "HIDDEN_UNITS = 32\n",
    "DROPOUT_PROB = 0.3\n",
    "LSTM_LAYERS = 1\n",
    "DENSE_LAYERS = 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "id": "fqoXwHTTqqCR"
   },
   "outputs": [],
   "source": [
    "def avg_bold_model():\n",
    "  model = Sequential()\n",
    "  for _ in range(LSTM_LAYERS):\n",
    "    model.add(LSTM(HIDDEN_UNITS, return_sequences=True))\n",
    "  model.add(Dropout(0.3))\n",
    "  for _ in range(DENSE_LAYERS-1):\n",
    "    model.add(TimeDistributed(Dense(HIDDEN_UNITS, activation='relu')))\n",
    "  model.add(TimeDistributed(Dense(1)))\n",
    "  return model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "nYHgnyz-v5nA",
    "outputId": "9b71e39f-53a1-4ca7-a151-34fc6f874624"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "***1 Look Ahead Model***\n",
      "Metal device set to: Apple M1 Max\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2022-08-29 00:28:26.290379: I tensorflow/core/common_runtime/pluggable_device/pluggable_device_factory.cc:305] Could not identify NUMA node of platform GPU ID 0, defaulting to 0. Your kernel may not have been built with NUMA support.\n",
      "2022-08-29 00:28:26.291312: I tensorflow/core/common_runtime/pluggable_device/pluggable_device_factory.cc:271] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 0 MB memory) -> physical PluggableDevice (device: 0, name: METAL, pci bus id: <undefined>)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm (LSTM)                 (10, 188, 32)             4352      \n",
      "                                                                 \n",
      " dropout (Dropout)           (10, 188, 32)             0         \n",
      "                                                                 \n",
      " time_distributed (TimeDistr  (10, 188, 32)            1056      \n",
      " ibuted)                                                         \n",
      "                                                                 \n",
      " time_distributed_1 (TimeDis  (10, 188, 1)             33        \n",
      " tributed)                                                       \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 5,441\n",
      "Trainable params: 5,441\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "***2 Look Ahead Model***\n",
      "Model: \"sequential_1\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_1 (LSTM)               (10, 187, 32)             4352      \n",
      "                                                                 \n",
      " dropout_1 (Dropout)         (10, 187, 32)             0         \n",
      "                                                                 \n",
      " time_distributed_2 (TimeDis  (10, 187, 32)            1056      \n",
      " tributed)                                                       \n",
      "                                                                 \n",
      " time_distributed_3 (TimeDis  (10, 187, 1)             33        \n",
      " tributed)                                                       \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 5,441\n",
      "Trainable params: 5,441\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "***3 Look Ahead Model***\n",
      "Model: \"sequential_2\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_2 (LSTM)               (10, 186, 32)             4352      \n",
      "                                                                 \n",
      " dropout_2 (Dropout)         (10, 186, 32)             0         \n",
      "                                                                 \n",
      " time_distributed_4 (TimeDis  (10, 186, 32)            1056      \n",
      " tributed)                                                       \n",
      "                                                                 \n",
      " time_distributed_5 (TimeDis  (10, 186, 1)             33        \n",
      " tributed)                                                       \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 5,441\n",
      "Trainable params: 5,441\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "***4 Look Ahead Model***\n",
      "Model: \"sequential_3\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_3 (LSTM)               (10, 185, 32)             4352      \n",
      "                                                                 \n",
      " dropout_3 (Dropout)         (10, 185, 32)             0         \n",
      "                                                                 \n",
      " time_distributed_6 (TimeDis  (10, 185, 32)            1056      \n",
      " tributed)                                                       \n",
      "                                                                 \n",
      " time_distributed_7 (TimeDis  (10, 185, 1)             33        \n",
      " tributed)                                                       \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 5,441\n",
      "Trainable params: 5,441\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "***5 Look Ahead Model***\n",
      "Model: \"sequential_4\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_4 (LSTM)               (10, 184, 32)             4352      \n",
      "                                                                 \n",
      " dropout_4 (Dropout)         (10, 184, 32)             0         \n",
      "                                                                 \n",
      " time_distributed_8 (TimeDis  (10, 184, 32)            1056      \n",
      " tributed)                                                       \n",
      "                                                                 \n",
      " time_distributed_9 (TimeDis  (10, 184, 1)             33        \n",
      " tributed)                                                       \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 5,441\n",
      "Trainable params: 5,441\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "***6 Look Ahead Model***\n",
      "Model: \"sequential_5\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_5 (LSTM)               (10, 183, 32)             4352      \n",
      "                                                                 \n",
      " dropout_5 (Dropout)         (10, 183, 32)             0         \n",
      "                                                                 \n",
      " time_distributed_10 (TimeDi  (10, 183, 32)            1056      \n",
      " stributed)                                                      \n",
      "                                                                 \n",
      " time_distributed_11 (TimeDi  (10, 183, 1)             33        \n",
      " stributed)                                                      \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 5,441\n",
      "Trainable params: 5,441\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "***7 Look Ahead Model***\n",
      "Model: \"sequential_6\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_6 (LSTM)               (10, 182, 32)             4352      \n",
      "                                                                 \n",
      " dropout_6 (Dropout)         (10, 182, 32)             0         \n",
      "                                                                 \n",
      " time_distributed_12 (TimeDi  (10, 182, 32)            1056      \n",
      " stributed)                                                      \n",
      "                                                                 \n",
      " time_distributed_13 (TimeDi  (10, 182, 1)             33        \n",
      " stributed)                                                      \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 5,441\n",
      "Trainable params: 5,441\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "***8 Look Ahead Model***\n",
      "Model: \"sequential_7\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_7 (LSTM)               (10, 181, 32)             4352      \n",
      "                                                                 \n",
      " dropout_7 (Dropout)         (10, 181, 32)             0         \n",
      "                                                                 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " time_distributed_14 (TimeDi  (10, 181, 32)            1056      \n",
      " stributed)                                                      \n",
      "                                                                 \n",
      " time_distributed_15 (TimeDi  (10, 181, 1)             33        \n",
      " stributed)                                                      \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 5,441\n",
      "Trainable params: 5,441\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "***9 Look Ahead Model***\n",
      "Model: \"sequential_8\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_8 (LSTM)               (10, 180, 32)             4352      \n",
      "                                                                 \n",
      " dropout_8 (Dropout)         (10, 180, 32)             0         \n",
      "                                                                 \n",
      " time_distributed_16 (TimeDi  (10, 180, 32)            1056      \n",
      " stributed)                                                      \n",
      "                                                                 \n",
      " time_distributed_17 (TimeDi  (10, 180, 1)             33        \n",
      " stributed)                                                      \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 5,441\n",
      "Trainable params: 5,441\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "***10 Look Ahead Model***\n",
      "Model: \"sequential_9\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_9 (LSTM)               (10, 179, 32)             4352      \n",
      "                                                                 \n",
      " dropout_9 (Dropout)         (10, 179, 32)             0         \n",
      "                                                                 \n",
      " time_distributed_18 (TimeDi  (10, 179, 32)            1056      \n",
      " stributed)                                                      \n",
      "                                                                 \n",
      " time_distributed_19 (TimeDi  (10, 179, 1)             33        \n",
      " stributed)                                                      \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 5,441\n",
      "Trainable params: 5,441\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "***11 Look Ahead Model***\n",
      "Model: \"sequential_10\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_10 (LSTM)              (10, 178, 32)             4352      \n",
      "                                                                 \n",
      " dropout_10 (Dropout)        (10, 178, 32)             0         \n",
      "                                                                 \n",
      " time_distributed_20 (TimeDi  (10, 178, 32)            1056      \n",
      " stributed)                                                      \n",
      "                                                                 \n",
      " time_distributed_21 (TimeDi  (10, 178, 1)             33        \n",
      " stributed)                                                      \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 5,441\n",
      "Trainable params: 5,441\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "***12 Look Ahead Model***\n",
      "Model: \"sequential_11\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_11 (LSTM)              (10, 177, 32)             4352      \n",
      "                                                                 \n",
      " dropout_11 (Dropout)        (10, 177, 32)             0         \n",
      "                                                                 \n",
      " time_distributed_22 (TimeDi  (10, 177, 32)            1056      \n",
      " stributed)                                                      \n",
      "                                                                 \n",
      " time_distributed_23 (TimeDi  (10, 177, 1)             33        \n",
      " stributed)                                                      \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 5,441\n",
      "Trainable params: 5,441\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "***13 Look Ahead Model***\n",
      "Model: \"sequential_12\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_12 (LSTM)              (10, 176, 32)             4352      \n",
      "                                                                 \n",
      " dropout_12 (Dropout)        (10, 176, 32)             0         \n",
      "                                                                 \n",
      " time_distributed_24 (TimeDi  (10, 176, 32)            1056      \n",
      " stributed)                                                      \n",
      "                                                                 \n",
      " time_distributed_25 (TimeDi  (10, 176, 1)             33        \n",
      " stributed)                                                      \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 5,441\n",
      "Trainable params: 5,441\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "***14 Look Ahead Model***\n",
      "Model: \"sequential_13\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_13 (LSTM)              (10, 175, 32)             4352      \n",
      "                                                                 \n",
      " dropout_13 (Dropout)        (10, 175, 32)             0         \n",
      "                                                                 \n",
      " time_distributed_26 (TimeDi  (10, 175, 32)            1056      \n",
      " stributed)                                                      \n",
      "                                                                 \n",
      " time_distributed_27 (TimeDi  (10, 175, 1)             33        \n",
      " stributed)                                                      \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 5,441\n",
      "Trainable params: 5,441\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "***15 Look Ahead Model***\n",
      "Model: \"sequential_14\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_14 (LSTM)              (10, 174, 32)             4352      \n",
      "                                                                 \n",
      " dropout_14 (Dropout)        (10, 174, 32)             0         \n",
      "                                                                 \n",
      " time_distributed_28 (TimeDi  (10, 174, 32)            1056      \n",
      " stributed)                                                      \n",
      "                                                                 \n",
      " time_distributed_29 (TimeDi  (10, 174, 1)             33        \n",
      " stributed)                                                      \n",
      "                                                                 \n",
      "=================================================================\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total params: 5,441\n",
      "Trainable params: 5,441\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "for LOOK_AHEAD in LOOK_AHEADS:\n",
    "    print(f\"***{LOOK_AHEAD} Look Ahead Model***\")\n",
    "    sample_model = avg_bold_model()\n",
    "    sample_model.build(input_shape=batch_xs[LOOK_AHEAD-1].shape)\n",
    "    sample_model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "id": "fUZSBnNft2Dl"
   },
   "outputs": [],
   "source": [
    "models = [[avg_bold_model() for _ in ROI_names] for _ in LOOK_AHEADS]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "3PRKFwUahAKG"
   },
   "source": [
    "#### Training Model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "LsHnfCSrhC0g"
   },
   "source": [
    "If you haven't already trained the models then uncomment and train your models which will be saved and will be loaded for inference later."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "id": "kf-dFQmfzqTA"
   },
   "outputs": [],
   "source": [
    "for i in range(len(LOOK_AHEADS)):\n",
    "    for j in range(len(ROI_names)):\n",
    "        models[i][j].compile(optimizer = 'adam', loss = 'mean_squared_error')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "id": "vcZsfhkz3lCH"
   },
   "outputs": [],
   "source": [
    "EPOCHS = 100\n",
    "checkpoint_filepaths = [[f\"./Models/OLD/LSTM/AVG-BOLD-TEST-ENLARGED/{name}/model_weights-best-val-loss-{LSTM_LAYERS}L-{HIDDEN_UNITS}H-{DENSE_LAYERS}D-{int(DROPOUT_PROB*10)}Drop-{LOOK_AHEAD}Ahead-{name}\" for name in ROI_names] for LOOK_AHEAD in LOOK_AHEADS]\n",
    "model_checkpoint_callbacks = [[tf.keras.callbacks.ModelCheckpoint(\n",
    "    filepath=checkpoint_filepat,\n",
    "    save_weights_only=True,\n",
    "    monitor = \"val_loss\",\n",
    "    mode='min',\n",
    "    save_best_only=True) for checkpoint_filepat in checkpoint_filepath] for checkpoint_filepath in checkpoint_filepaths]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "id": "wECZbf2i_AH7"
   },
   "outputs": [],
   "source": [
    "def plot_train_test_loss(history, model_name, i):  \n",
    "  plt.figure(figsize=(10,10))\n",
    "  plt.plot(history.history['loss'])\n",
    "  plt.plot(history.history['val_loss'])\n",
    "  plt.title(model_name+' loss')\n",
    "  plt.ylabel('loss')\n",
    "  plt.xlabel('epochs')\n",
    "  plt.legend(['train', 'val'], loc='upper left')\n",
    "  plt.savefig(\"./Plots/OLD/LSTM/AVG-BOLD-TEST-ENLARGED/\"+ROI_names[i]+\"/\"+model_name+\"-loss.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "AFb-kTLR21hl"
   },
   "outputs": [],
   "source": [
    "histories = list()\n",
    "with tf.device('/device:GPU:0'):\n",
    "    for LOOK_AHEAD in LOOK_AHEADS:\n",
    "        history = list()\n",
    "        for j in range(len(ROI_names)):\n",
    "            hist = models[LOOK_AHEAD-1][j].fit(\n",
    "                        train_data_generator[LOOK_AHEAD-1][j].generate(),\n",
    "                        steps_per_epoch=train_data[i].shape[0]//TRAIN_BATCH_SIZE,\n",
    "                        epochs=EPOCHS,\n",
    "                        validation_data=test_data_generator[LOOK_AHEAD-1][j].generate(),\n",
    "                        validation_steps=test_data[i].shape[0]//TEST_BATCH_SIZE,\n",
    "                        callbacks=[model_checkpoint_callbacks[LOOK_AHEAD-1][j]]\n",
    "                        )\n",
    "            models[LOOK_AHEAD-1][j].save_weights(f\"./Models/OLD/LSTM/AVG-BOLD-TEST-ENLARGED/{ROI_names[j]}/model_weights-{LSTM_LAYERS}L-{HIDDEN_UNITS}H-{DENSE_LAYERS}D-{int(DROPOUT_PROB*10)}Drop-{LOOK_AHEAD}Ahead-{ROI_names[j]}\")\n",
    "            plot_train_test_loss(hist, f\"{LSTM_LAYERS}L-{HIDDEN_UNITS}H-{DENSE_LAYERS}D-{int(DROPOUT_PROB*10)}Drop-{LOOK_AHEAD}Ahead-{ROI_names[j]}\", j)\n",
    "            history.append(hist)\n",
    "        histories.append(history)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "id": "dKvn0145hViW"
   },
   "outputs": [],
   "source": [
    "for LOOK_AHEAD in LOOK_AHEADS:\n",
    "    for i in range(len(ROI_names)):\n",
    "        models[LOOK_AHEAD-1][i].load_weights(f\"./Models/OLD/LSTM/AVG-BOLD-TEST-ENLARGED/{ROI_names[i]}/model_weights-{LSTM_LAYERS}L-{HIDDEN_UNITS}H-{DENSE_LAYERS}D-{int(DROPOUT_PROB*10)}Drop-{LOOK_AHEAD}Ahead-{ROI_names[i]}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "7mpQ5Rap6kQ0"
   },
   "outputs": [],
   "source": [
    "preds = [[models[LOOK_AHEAD-1][i].predict(next(test_data_generator[LOOK_AHEAD-1][i].generate())[0]) for i in range(len(ROI_names))] for LOOK_AHEAD in LOOK_AHEADS]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "id": "9a4QShbkj8lk"
   },
   "outputs": [],
   "source": [
    "a_TRs = np.array([56, 67, 73, 81, 134, 142, 155, 167, 174, 180])\n",
    "d_TRs = np.array([67, 72, 85, 89, 145, 154, 168, 174, 180, 188])\n",
    "and_TRs = np.union1d(a_TRs, d_TRs)\n",
    "\n",
    "def highlight_and(act, pred):\n",
    "  min_y_list = list()\n",
    "  max_y_list = list()\n",
    "  for i in range(5):\n",
    "    min_y_list.append(np.min(np.concatenate([act[a_TRs[2*i]:d_TRs[2*i+1]], pred[a_TRs[2*i]:d_TRs[2*i+1]]])))\n",
    "    max_y_list.append(np.max(np.concatenate([act[a_TRs[2*i]:d_TRs[2*i+1]], pred[a_TRs[2*i]:d_TRs[2*i+1]]])))\n",
    "    # plt.fill_betweenx(y=[min_y_list[i], max_y_list[i]], x1=a_TRs[2*i], x2=d_TRs[2*i+1], color='gray', alpha=0.1)\n",
    "    plt.fill_betweenx(y=[min_y_list[i], max_y_list[i]], x1=a_TRs[2*i], x2=a_TRs[2*i+1], color='violet', alpha=0.4)\n",
    "    plt.fill_betweenx(y=[min_y_list[i], max_y_list[i]], x1=d_TRs[2*i], x2=d_TRs[2*i+1], color='greenyellow', alpha=0.4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "WBLOHLixAWnk"
   },
   "outputs": [],
   "source": [
    "for LOOK_AHEAD in LOOK_AHEADS:\n",
    "    for i in range(len(ROI_names)):\n",
    "      \n",
    "        actual_test_data_output = np.squeeze(test_data_unscaled[i])[:,LOOK_AHEAD:] \n",
    "        pred_test_data_output = scalers[i].inverse_transform(np.hstack([preds[LOOK_AHEAD-1][i][:,:,0], preds[LOOK_AHEAD-1][i][:,:LOOK_AHEAD,0]]))[:,:-LOOK_AHEAD]\n",
    "        plt.figure(figsize=(24, 18))\n",
    "\n",
    "        for j in range(NUM_TEST_SUBS-1):\n",
    "  \n",
    "            ax = plt.subplot(3, 3, j + 1)\n",
    "            plt.plot(actual_test_data_output[j,:])\n",
    "            plt.plot(pred_test_data_output[j,:])\n",
    "            # highlight_and(actual_test_data_output[j,:], pred_test_data_output[j,:])\n",
    "            plt.xticks(np.concatenate([np.array([0]), and_TRs - LOOK_AHEAD]), np.concatenate([np.array([LOOK_AHEAD]), and_TRs]))\n",
    "            plt.ylabel(\"Average BOLD\")\n",
    "            plt.xlabel(\"TRs\")\n",
    "            plt.title(f\"Avg BOLD Preds of {LSTM_LAYERS}L-{HIDDEN_UNITS}H-{DENSE_LAYERS}D-{int(DROPOUT_PROB*10)}Drop-{LOOK_AHEAD}Ahead for {j+1}th Test Sub's {ROI_names[i]}\")\n",
    "            plt.legend(['actual', 'pred'])\n",
    "        plt.savefig(f\"./Plots/OLD/LSTM/AVG-BOLD-TEST-ENLARGED/{ROI_names[i]}/{LSTM_LAYERS}L-{HIDDEN_UNITS}H-{DENSE_LAYERS}D-{int(DROPOUT_PROB*10)}Drop-{LOOK_AHEAD}Ahead-Preds.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "J8hiJzxcKFuz",
    "outputId": "deaa6d44-de0d-463a-c437-9324739e5f64"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "***Each Test Subject's Correlation Coefficient between 1 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "INS for 1th sub: 0.24\n",
      "INS for 2th sub: 0.59\n",
      "INS for 3th sub: 0.05\n",
      "INS for 4th sub: 0.09\n",
      "INS for 5th sub: 0.25\n",
      "INS for 6th sub: -0.17\n",
      "INS for 7th sub: 0.41\n",
      "INS for 8th sub: 0.82\n",
      "INS for 9th sub: 0.59\n",
      "INS for 10th sub: 0.44\n",
      "PCC for 1th sub: 0.49\n",
      "PCC for 2th sub: 0.13\n",
      "PCC for 3th sub: 0.48\n",
      "PCC for 4th sub: 0.3\n",
      "PCC for 5th sub: 0.29\n",
      "PCC for 6th sub: -0.15\n",
      "PCC for 7th sub: 0.1\n",
      "PCC for 8th sub: 0.13\n",
      "PCC for 9th sub: 0.31\n",
      "PCC for 10th sub: 0.02\n",
      "Cau for 1th sub: -0.04\n",
      "Cau for 2th sub: 0.34\n",
      "Cau for 3th sub: 0.02\n",
      "Cau for 4th sub: 0.09\n",
      "Cau for 5th sub: 0.05\n",
      "Cau for 6th sub: 0.31\n",
      "Cau for 7th sub: 0.25\n",
      "Cau for 8th sub: -0.07\n",
      "Cau for 9th sub: 0.09\n",
      "Cau for 10th sub: 0.14\n",
      "mCC for 1th sub: 0.01\n",
      "mCC for 2th sub: -0.04\n",
      "mCC for 3th sub: 0.14\n",
      "mCC for 4th sub: 0.11\n",
      "mCC for 5th sub: 0.07\n",
      "mCC for 6th sub: -0.02\n",
      "mCC for 7th sub: -0.01\n",
      "mCC for 8th sub: 0.2\n",
      "mCC for 9th sub: 0.14\n",
      "mCC for 10th sub: -0.04\n",
      "mOFC for 1th sub: 0.38\n",
      "mOFC for 2th sub: 0.45\n",
      "mOFC for 3th sub: 0.58\n",
      "mOFC for 4th sub: 0.61\n",
      "mOFC for 5th sub: 0.53\n",
      "mOFC for 6th sub: 0.36\n",
      "mOFC for 7th sub: 0.45\n",
      "mOFC for 8th sub: 0.78\n",
      "mOFC for 9th sub: 0.81\n",
      "mOFC for 10th sub: 0.22\n",
      "l_OFC for 1th sub: 0.23\n",
      "l_OFC for 2th sub: 0.07\n",
      "l_OFC for 3th sub: -0.11\n",
      "l_OFC for 4th sub: 0.33\n",
      "l_OFC for 5th sub: 0.3\n",
      "l_OFC for 6th sub: 0.17\n",
      "l_OFC for 7th sub: 0.12\n",
      "l_OFC for 8th sub: 0.82\n",
      "l_OFC for 9th sub: 0.61\n",
      "l_OFC for 10th sub: 0.09\n",
      "vlPFC for 1th sub: 0.36\n",
      "vlPFC for 2th sub: 0.53\n",
      "vlPFC for 3th sub: 0.32\n",
      "vlPFC for 4th sub: 0.27\n",
      "vlPFC for 5th sub: 0.15\n",
      "vlPFC for 6th sub: 0.3\n",
      "vlPFC for 7th sub: 0.4\n",
      "vlPFC for 8th sub: 0.36\n",
      "vlPFC for 9th sub: 0.19\n",
      "vlPFC for 10th sub: 0.57\n",
      "dmPFC for 1th sub: 0.37\n",
      "dmPFC for 2th sub: 0.23\n",
      "dmPFC for 3th sub: 0.33\n",
      "dmPFC for 4th sub: 0.12\n",
      "dmPFC for 5th sub: 0.2\n",
      "dmPFC for 6th sub: 0.28\n",
      "dmPFC for 7th sub: 0.42\n",
      "dmPFC for 8th sub: 0.62\n",
      "dmPFC for 9th sub: 0.74\n",
      "dmPFC for 10th sub: -0.0\n",
      "VC for 1th sub: 0.52\n",
      "VC for 2th sub: 0.32\n",
      "VC for 3th sub: 0.48\n",
      "VC for 4th sub: 0.41\n",
      "VC for 5th sub: 0.24\n",
      "VC for 6th sub: 0.28\n",
      "VC for 7th sub: 0.33\n",
      "VC for 8th sub: 0.23\n",
      "VC for 9th sub: 0.33\n",
      "VC for 10th sub: 0.3\n",
      "mPFC for 1th sub: 0.02\n",
      "mPFC for 2th sub: 0.32\n",
      "mPFC for 3th sub: 0.41\n",
      "mPFC for 4th sub: 0.27\n",
      "mPFC for 5th sub: 0.51\n",
      "mPFC for 6th sub: 0.33\n",
      "mPFC for 7th sub: 0.2\n",
      "mPFC for 8th sub: 0.12\n",
      "mPFC for 9th sub: 0.71\n",
      "mPFC for 10th sub: 0.08\n",
      "pSTS for 1th sub: 0.36\n",
      "pSTS for 2th sub: 0.36\n",
      "pSTS for 3th sub: 0.12\n",
      "pSTS for 4th sub: 0.7\n",
      "pSTS for 5th sub: 0.47\n",
      "pSTS for 6th sub: 0.26\n",
      "pSTS for 7th sub: 0.37\n",
      "pSTS for 8th sub: 0.52\n",
      "pSTS for 9th sub: 0.19\n",
      "pSTS for 10th sub: 0.3\n",
      "TP for 1th sub: 0.53\n",
      "TP for 2th sub: 0.7\n",
      "TP for 3th sub: 0.38\n",
      "TP for 4th sub: 0.73\n",
      "TP for 5th sub: 0.05\n",
      "TP for 6th sub: 0.31\n",
      "TP for 7th sub: 0.15\n",
      "TP for 8th sub: 0.56\n",
      "TP for 9th sub: -0.19\n",
      "TP for 10th sub: 0.09\n",
      "IPL for 1th sub: 0.34\n",
      "IPL for 2th sub: 0.22\n",
      "IPL for 3th sub: 0.36\n",
      "IPL for 4th sub: 0.54\n",
      "IPL for 5th sub: 0.42\n",
      "IPL for 6th sub: 0.61\n",
      "IPL for 7th sub: 0.36\n",
      "IPL for 8th sub: 0.45\n",
      "IPL for 9th sub: 0.31\n",
      "IPL for 10th sub: 0.28\n",
      "Nac for 1th sub: 0.04\n",
      "Nac for 2th sub: 0.19\n",
      "Nac for 3th sub: 0.04\n",
      "Nac for 4th sub: 0.2\n",
      "Nac for 5th sub: 0.02\n",
      "Nac for 6th sub: 0.37\n",
      "Nac for 7th sub: 0.38\n",
      "Nac for 8th sub: 0.17\n",
      "Nac for 9th sub: 0.08\n",
      "Nac for 10th sub: 0.08\n",
      "ACC for 1th sub: 0.11\n",
      "ACC for 2th sub: 0.28\n",
      "ACC for 3th sub: 0.19\n",
      "ACC for 4th sub: 0.35\n",
      "ACC for 5th sub: 0.35\n",
      "ACC for 6th sub: 0.03\n",
      "ACC for 7th sub: 0.12\n",
      "ACC for 8th sub: 0.25\n",
      "ACC for 9th sub: 0.26\n",
      "ACC for 10th sub: 0.03\n",
      "PreCG for 1th sub: 0.37\n",
      "PreCG for 2th sub: 0.34\n",
      "PreCG for 3th sub: 0.11\n",
      "PreCG for 4th sub: 0.34\n",
      "PreCG for 5th sub: -0.04\n",
      "PreCG for 6th sub: 0.1\n",
      "PreCG for 7th sub: 0.31\n",
      "PreCG for 8th sub: 0.32\n",
      "PreCG for 9th sub: 0.09\n",
      "PreCG for 10th sub: -0.24\n",
      "AMY for 1th sub: 0.57\n",
      "AMY for 2th sub: 0.38\n",
      "AMY for 3th sub: 0.68\n",
      "AMY for 4th sub: 0.53\n",
      "AMY for 5th sub: 0.33\n",
      "AMY for 6th sub: 0.04\n",
      "AMY for 7th sub: 0.1\n",
      "AMY for 8th sub: 0.21\n",
      "AMY for 9th sub: 0.34\n",
      "AMY for 10th sub: 0.23\n",
      "Put for 1th sub: 0.2\n",
      "Put for 2th sub: 0.19\n",
      "Put for 3th sub: -0.02\n",
      "Put for 4th sub: 0.17\n",
      "Put for 5th sub: 0.09\n",
      "Put for 6th sub: 0.34\n",
      "Put for 7th sub: 0.4\n",
      "Put for 8th sub: 0.0\n",
      "Put for 9th sub: 0.3\n",
      "Put for 10th sub: 0.1\n",
      "dlPFC for 1th sub: 0.23\n",
      "dlPFC for 2th sub: 0.4\n",
      "dlPFC for 3th sub: 0.64\n",
      "dlPFC for 4th sub: 0.2\n",
      "dlPFC for 5th sub: 0.41\n",
      "dlPFC for 6th sub: 0.31\n",
      "dlPFC for 7th sub: 0.28\n",
      "dlPFC for 8th sub: 0.4\n",
      "dlPFC for 9th sub: 0.44\n",
      "dlPFC for 10th sub: 0.12\n",
      "\n",
      "***Average across test subjects Correlation Coefficient between 1 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "INS: 0.33\n",
      "PCC: 0.21\n",
      "Cau: 0.12\n",
      "mCC: 0.06\n",
      "mOFC: 0.52\n",
      "l_OFC: 0.26\n",
      "vlPFC: 0.35\n",
      "dmPFC: 0.33\n",
      "VC: 0.34\n",
      "mPFC: 0.3\n",
      "pSTS: 0.37\n",
      "TP: 0.33\n",
      "IPL: 0.39\n",
      "Nac: 0.16\n",
      "ACC: 0.2\n",
      "PreCG: 0.17\n",
      "AMY: 0.34\n",
      "Put: 0.18\n",
      "dlPFC: 0.34\n",
      "***Each Test Subject's Correlation Coefficient between 2 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "INS for 1th sub: 0.08\n",
      "INS for 2th sub: 0.5\n",
      "INS for 3th sub: 0.02\n",
      "INS for 4th sub: 0.02\n",
      "INS for 5th sub: 0.07\n",
      "INS for 6th sub: -0.19\n",
      "INS for 7th sub: 0.31\n",
      "INS for 8th sub: 0.79\n",
      "INS for 9th sub: 0.34\n",
      "INS for 10th sub: 0.28\n",
      "PCC for 1th sub: 0.51\n",
      "PCC for 2th sub: 0.08\n",
      "PCC for 3th sub: 0.48\n",
      "PCC for 4th sub: 0.19\n",
      "PCC for 5th sub: 0.2\n",
      "PCC for 6th sub: -0.11\n",
      "PCC for 7th sub: 0.21\n",
      "PCC for 8th sub: 0.06\n",
      "PCC for 9th sub: 0.33\n",
      "PCC for 10th sub: 0.07\n",
      "Cau for 1th sub: -0.1\n",
      "Cau for 2th sub: 0.28\n",
      "Cau for 3th sub: 0.1\n",
      "Cau for 4th sub: 0.09\n",
      "Cau for 5th sub: 0.04\n",
      "Cau for 6th sub: 0.26\n",
      "Cau for 7th sub: 0.22\n",
      "Cau for 8th sub: -0.01\n",
      "Cau for 9th sub: 0.01\n",
      "Cau for 10th sub: 0.17\n",
      "mCC for 1th sub: 0.09\n",
      "mCC for 2th sub: -0.1\n",
      "mCC for 3th sub: 0.11\n",
      "mCC for 4th sub: -0.06\n",
      "mCC for 5th sub: 0.04\n",
      "mCC for 6th sub: 0.04\n",
      "mCC for 7th sub: -0.01\n",
      "mCC for 8th sub: 0.07\n",
      "mCC for 9th sub: 0.08\n",
      "mCC for 10th sub: -0.01\n",
      "mOFC for 1th sub: 0.37\n",
      "mOFC for 2th sub: 0.45\n",
      "mOFC for 3th sub: 0.57\n",
      "mOFC for 4th sub: 0.55\n",
      "mOFC for 5th sub: 0.5\n",
      "mOFC for 6th sub: 0.29\n",
      "mOFC for 7th sub: 0.53\n",
      "mOFC for 8th sub: 0.79\n",
      "mOFC for 9th sub: 0.8\n",
      "mOFC for 10th sub: 0.18\n",
      "l_OFC for 1th sub: 0.19\n",
      "l_OFC for 2th sub: 0.07\n",
      "l_OFC for 3th sub: -0.03\n",
      "l_OFC for 4th sub: 0.37\n",
      "l_OFC for 5th sub: 0.32\n",
      "l_OFC for 6th sub: 0.22\n",
      "l_OFC for 7th sub: 0.19\n",
      "l_OFC for 8th sub: 0.81\n",
      "l_OFC for 9th sub: 0.59\n",
      "l_OFC for 10th sub: 0.17\n",
      "vlPFC for 1th sub: 0.43\n",
      "vlPFC for 2th sub: 0.47\n",
      "vlPFC for 3th sub: 0.33\n",
      "vlPFC for 4th sub: 0.25\n",
      "vlPFC for 5th sub: 0.02\n",
      "vlPFC for 6th sub: 0.34\n",
      "vlPFC for 7th sub: 0.41\n",
      "vlPFC for 8th sub: 0.31\n",
      "vlPFC for 9th sub: 0.23\n",
      "vlPFC for 10th sub: 0.61\n",
      "dmPFC for 1th sub: 0.34\n",
      "dmPFC for 2th sub: 0.21\n",
      "dmPFC for 3th sub: 0.28\n",
      "dmPFC for 4th sub: 0.05\n",
      "dmPFC for 5th sub: 0.09\n",
      "dmPFC for 6th sub: 0.16\n",
      "dmPFC for 7th sub: 0.38\n",
      "dmPFC for 8th sub: 0.59\n",
      "dmPFC for 9th sub: 0.7\n",
      "dmPFC for 10th sub: 0.03\n",
      "VC for 1th sub: 0.46\n",
      "VC for 2th sub: 0.14\n",
      "VC for 3th sub: 0.38\n",
      "VC for 4th sub: 0.24\n",
      "VC for 5th sub: 0.05\n",
      "VC for 6th sub: 0.2\n",
      "VC for 7th sub: 0.24\n",
      "VC for 8th sub: 0.12\n",
      "VC for 9th sub: 0.23\n",
      "VC for 10th sub: 0.15\n",
      "mPFC for 1th sub: 0.04\n",
      "mPFC for 2th sub: 0.22\n",
      "mPFC for 3th sub: 0.36\n",
      "mPFC for 4th sub: 0.22\n",
      "mPFC for 5th sub: 0.49\n",
      "mPFC for 6th sub: 0.31\n",
      "mPFC for 7th sub: 0.22\n",
      "mPFC for 8th sub: 0.06\n",
      "mPFC for 9th sub: 0.72\n",
      "mPFC for 10th sub: 0.05\n",
      "pSTS for 1th sub: 0.3\n",
      "pSTS for 2th sub: 0.28\n",
      "pSTS for 3th sub: 0.03\n",
      "pSTS for 4th sub: 0.62\n",
      "pSTS for 5th sub: 0.35\n",
      "pSTS for 6th sub: 0.26\n",
      "pSTS for 7th sub: 0.4\n",
      "pSTS for 8th sub: 0.51\n",
      "pSTS for 9th sub: 0.12\n",
      "pSTS for 10th sub: 0.25\n",
      "TP for 1th sub: 0.51\n",
      "TP for 2th sub: 0.67\n",
      "TP for 3th sub: 0.41\n",
      "TP for 4th sub: 0.69\n",
      "TP for 5th sub: 0.08\n",
      "TP for 6th sub: 0.28\n",
      "TP for 7th sub: 0.2\n",
      "TP for 8th sub: 0.6\n",
      "TP for 9th sub: -0.22\n",
      "TP for 10th sub: 0.11\n",
      "IPL for 1th sub: 0.28\n",
      "IPL for 2th sub: 0.13\n",
      "IPL for 3th sub: 0.3\n",
      "IPL for 4th sub: 0.51\n",
      "IPL for 5th sub: 0.26\n",
      "IPL for 6th sub: 0.6\n",
      "IPL for 7th sub: 0.31\n",
      "IPL for 8th sub: 0.29\n",
      "IPL for 9th sub: 0.21\n",
      "IPL for 10th sub: 0.2\n",
      "Nac for 1th sub: -0.08\n",
      "Nac for 2th sub: 0.18\n",
      "Nac for 3th sub: 0.08\n",
      "Nac for 4th sub: 0.12\n",
      "Nac for 5th sub: -0.05\n",
      "Nac for 6th sub: 0.35\n",
      "Nac for 7th sub: 0.36\n",
      "Nac for 8th sub: 0.22\n",
      "Nac for 9th sub: -0.01\n",
      "Nac for 10th sub: 0.14\n",
      "ACC for 1th sub: 0.01\n",
      "ACC for 2th sub: 0.19\n",
      "ACC for 3th sub: 0.26\n",
      "ACC for 4th sub: 0.29\n",
      "ACC for 5th sub: 0.3\n",
      "ACC for 6th sub: 0.01\n",
      "ACC for 7th sub: 0.1\n",
      "ACC for 8th sub: 0.27\n",
      "ACC for 9th sub: 0.25\n",
      "ACC for 10th sub: 0.02\n",
      "PreCG for 1th sub: 0.41\n",
      "PreCG for 2th sub: 0.26\n",
      "PreCG for 3th sub: 0.13\n",
      "PreCG for 4th sub: 0.3\n",
      "PreCG for 5th sub: -0.05\n",
      "PreCG for 6th sub: 0.1\n",
      "PreCG for 7th sub: 0.39\n",
      "PreCG for 8th sub: 0.27\n",
      "PreCG for 9th sub: 0.08\n",
      "PreCG for 10th sub: -0.24\n",
      "AMY for 1th sub: 0.48\n",
      "AMY for 2th sub: 0.28\n",
      "AMY for 3th sub: 0.67\n",
      "AMY for 4th sub: 0.55\n",
      "AMY for 5th sub: 0.23\n",
      "AMY for 6th sub: 0.1\n",
      "AMY for 7th sub: -0.03\n",
      "AMY for 8th sub: 0.25\n",
      "AMY for 9th sub: 0.24\n",
      "AMY for 10th sub: 0.13\n",
      "Put for 1th sub: 0.15\n",
      "Put for 2th sub: 0.2\n",
      "Put for 3th sub: 0.06\n",
      "Put for 4th sub: 0.25\n",
      "Put for 5th sub: 0.12\n",
      "Put for 6th sub: 0.34\n",
      "Put for 7th sub: 0.39\n",
      "Put for 8th sub: 0.04\n",
      "Put for 9th sub: 0.25\n",
      "Put for 10th sub: 0.18\n",
      "dlPFC for 1th sub: 0.34\n",
      "dlPFC for 2th sub: 0.29\n",
      "dlPFC for 3th sub: 0.7\n",
      "dlPFC for 4th sub: 0.2\n",
      "dlPFC for 5th sub: 0.35\n",
      "dlPFC for 6th sub: 0.31\n",
      "dlPFC for 7th sub: 0.24\n",
      "dlPFC for 8th sub: 0.4\n",
      "dlPFC for 9th sub: 0.39\n",
      "dlPFC for 10th sub: 0.05\n",
      "\n",
      "***Average across test subjects Correlation Coefficient between 2 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "INS: 0.22\n",
      "PCC: 0.2\n",
      "Cau: 0.11\n",
      "mCC: 0.03\n",
      "mOFC: 0.5\n",
      "l_OFC: 0.29\n",
      "vlPFC: 0.34\n",
      "dmPFC: 0.28\n",
      "VC: 0.22\n",
      "mPFC: 0.27\n",
      "pSTS: 0.31\n",
      "TP: 0.33\n",
      "IPL: 0.31\n",
      "Nac: 0.13\n",
      "ACC: 0.17\n",
      "PreCG: 0.17\n",
      "AMY: 0.29\n",
      "Put: 0.2\n",
      "dlPFC: 0.33\n",
      "***Each Test Subject's Correlation Coefficient between 3 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "INS for 1th sub: 0.07\n",
      "INS for 2th sub: 0.42\n",
      "INS for 3th sub: -0.01\n",
      "INS for 4th sub: -0.01\n",
      "INS for 5th sub: 0.05\n",
      "INS for 6th sub: -0.16\n",
      "INS for 7th sub: 0.26\n",
      "INS for 8th sub: 0.75\n",
      "INS for 9th sub: 0.28\n",
      "INS for 10th sub: 0.21\n",
      "PCC for 1th sub: 0.54\n",
      "PCC for 2th sub: 0.1\n",
      "PCC for 3th sub: 0.45\n",
      "PCC for 4th sub: 0.15\n",
      "PCC for 5th sub: 0.15\n",
      "PCC for 6th sub: -0.09\n",
      "PCC for 7th sub: 0.18\n",
      "PCC for 8th sub: 0.01\n",
      "PCC for 9th sub: 0.26\n",
      "PCC for 10th sub: 0.09\n",
      "Cau for 1th sub: -0.0\n",
      "Cau for 2th sub: 0.22\n",
      "Cau for 3th sub: 0.04\n",
      "Cau for 4th sub: 0.08\n",
      "Cau for 5th sub: 0.09\n",
      "Cau for 6th sub: 0.28\n",
      "Cau for 7th sub: 0.24\n",
      "Cau for 8th sub: -0.11\n",
      "Cau for 9th sub: 0.1\n",
      "Cau for 10th sub: 0.14\n",
      "mCC for 1th sub: -0.03\n",
      "mCC for 2th sub: -0.03\n",
      "mCC for 3th sub: 0.04\n",
      "mCC for 4th sub: 0.07\n",
      "mCC for 5th sub: 0.03\n",
      "mCC for 6th sub: 0.05\n",
      "mCC for 7th sub: -0.06\n",
      "mCC for 8th sub: 0.14\n",
      "mCC for 9th sub: 0.15\n",
      "mCC for 10th sub: 0.04\n",
      "mOFC for 1th sub: 0.33\n",
      "mOFC for 2th sub: 0.49\n",
      "mOFC for 3th sub: 0.53\n",
      "mOFC for 4th sub: 0.5\n",
      "mOFC for 5th sub: 0.5\n",
      "mOFC for 6th sub: 0.35\n",
      "mOFC for 7th sub: 0.49\n",
      "mOFC for 8th sub: 0.79\n",
      "mOFC for 9th sub: 0.79\n",
      "mOFC for 10th sub: 0.31\n",
      "l_OFC for 1th sub: 0.16\n",
      "l_OFC for 2th sub: 0.1\n",
      "l_OFC for 3th sub: -0.03\n",
      "l_OFC for 4th sub: 0.36\n",
      "l_OFC for 5th sub: 0.41\n",
      "l_OFC for 6th sub: 0.11\n",
      "l_OFC for 7th sub: 0.31\n",
      "l_OFC for 8th sub: 0.82\n",
      "l_OFC for 9th sub: 0.62\n",
      "l_OFC for 10th sub: 0.23\n",
      "vlPFC for 1th sub: 0.25\n",
      "vlPFC for 2th sub: 0.44\n",
      "vlPFC for 3th sub: 0.23\n",
      "vlPFC for 4th sub: 0.24\n",
      "vlPFC for 5th sub: -0.01\n",
      "vlPFC for 6th sub: 0.38\n",
      "vlPFC for 7th sub: 0.32\n",
      "vlPFC for 8th sub: 0.21\n",
      "vlPFC for 9th sub: 0.13\n",
      "vlPFC for 10th sub: 0.57\n",
      "dmPFC for 1th sub: 0.35\n",
      "dmPFC for 2th sub: 0.18\n",
      "dmPFC for 3th sub: 0.29\n",
      "dmPFC for 4th sub: 0.27\n",
      "dmPFC for 5th sub: 0.09\n",
      "dmPFC for 6th sub: 0.16\n",
      "dmPFC for 7th sub: 0.39\n",
      "dmPFC for 8th sub: 0.62\n",
      "dmPFC for 9th sub: 0.68\n",
      "dmPFC for 10th sub: -0.08\n",
      "VC for 1th sub: 0.44\n",
      "VC for 2th sub: 0.0\n",
      "VC for 3th sub: 0.28\n",
      "VC for 4th sub: 0.09\n",
      "VC for 5th sub: -0.04\n",
      "VC for 6th sub: 0.23\n",
      "VC for 7th sub: 0.16\n",
      "VC for 8th sub: -0.02\n",
      "VC for 9th sub: 0.15\n",
      "VC for 10th sub: 0.02\n",
      "mPFC for 1th sub: 0.07\n",
      "mPFC for 2th sub: 0.23\n",
      "mPFC for 3th sub: 0.32\n",
      "mPFC for 4th sub: 0.21\n",
      "mPFC for 5th sub: 0.51\n",
      "mPFC for 6th sub: 0.27\n",
      "mPFC for 7th sub: 0.14\n",
      "mPFC for 8th sub: 0.07\n",
      "mPFC for 9th sub: 0.74\n",
      "mPFC for 10th sub: 0.08\n",
      "pSTS for 1th sub: 0.35\n",
      "pSTS for 2th sub: 0.24\n",
      "pSTS for 3th sub: 0.01\n",
      "pSTS for 4th sub: 0.59\n",
      "pSTS for 5th sub: 0.29\n",
      "pSTS for 6th sub: 0.25\n",
      "pSTS for 7th sub: 0.35\n",
      "pSTS for 8th sub: 0.45\n",
      "pSTS for 9th sub: 0.14\n",
      "pSTS for 10th sub: 0.22\n",
      "TP for 1th sub: 0.5\n",
      "TP for 2th sub: 0.66\n",
      "TP for 3th sub: 0.39\n",
      "TP for 4th sub: 0.67\n",
      "TP for 5th sub: -0.0\n",
      "TP for 6th sub: 0.26\n",
      "TP for 7th sub: 0.16\n",
      "TP for 8th sub: 0.64\n",
      "TP for 9th sub: -0.26\n",
      "TP for 10th sub: 0.17\n",
      "IPL for 1th sub: 0.29\n",
      "IPL for 2th sub: 0.04\n",
      "IPL for 3th sub: 0.28\n",
      "IPL for 4th sub: 0.48\n",
      "IPL for 5th sub: 0.15\n",
      "IPL for 6th sub: 0.61\n",
      "IPL for 7th sub: 0.18\n",
      "IPL for 8th sub: 0.24\n",
      "IPL for 9th sub: 0.16\n",
      "IPL for 10th sub: 0.17\n",
      "Nac for 1th sub: -0.0\n",
      "Nac for 2th sub: 0.18\n",
      "Nac for 3th sub: 0.01\n",
      "Nac for 4th sub: 0.1\n",
      "Nac for 5th sub: -0.0\n",
      "Nac for 6th sub: 0.38\n",
      "Nac for 7th sub: 0.38\n",
      "Nac for 8th sub: 0.15\n",
      "Nac for 9th sub: 0.0\n",
      "Nac for 10th sub: 0.08\n",
      "ACC for 1th sub: 0.09\n",
      "ACC for 2th sub: 0.21\n",
      "ACC for 3th sub: 0.18\n",
      "ACC for 4th sub: 0.28\n",
      "ACC for 5th sub: 0.34\n",
      "ACC for 6th sub: 0.09\n",
      "ACC for 7th sub: 0.07\n",
      "ACC for 8th sub: 0.24\n",
      "ACC for 9th sub: 0.28\n",
      "ACC for 10th sub: 0.06\n",
      "PreCG for 1th sub: 0.45\n",
      "PreCG for 2th sub: 0.21\n",
      "PreCG for 3th sub: 0.09\n",
      "PreCG for 4th sub: 0.25\n",
      "PreCG for 5th sub: -0.07\n",
      "PreCG for 6th sub: 0.13\n",
      "PreCG for 7th sub: 0.37\n",
      "PreCG for 8th sub: 0.25\n",
      "PreCG for 9th sub: 0.07\n",
      "PreCG for 10th sub: -0.21\n",
      "AMY for 1th sub: 0.42\n",
      "AMY for 2th sub: 0.26\n",
      "AMY for 3th sub: 0.67\n",
      "AMY for 4th sub: 0.55\n",
      "AMY for 5th sub: 0.24\n",
      "AMY for 6th sub: 0.23\n",
      "AMY for 7th sub: -0.08\n",
      "AMY for 8th sub: 0.16\n",
      "AMY for 9th sub: 0.28\n",
      "AMY for 10th sub: 0.08\n",
      "Put for 1th sub: 0.21\n",
      "Put for 2th sub: 0.17\n",
      "Put for 3th sub: 0.01\n",
      "Put for 4th sub: 0.1\n",
      "Put for 5th sub: 0.16\n",
      "Put for 6th sub: 0.44\n",
      "Put for 7th sub: 0.41\n",
      "Put for 8th sub: -0.12\n",
      "Put for 9th sub: 0.25\n",
      "Put for 10th sub: 0.19\n",
      "dlPFC for 1th sub: 0.28\n",
      "dlPFC for 2th sub: 0.22\n",
      "dlPFC for 3th sub: 0.63\n",
      "dlPFC for 4th sub: 0.18\n",
      "dlPFC for 5th sub: 0.38\n",
      "dlPFC for 6th sub: 0.35\n",
      "dlPFC for 7th sub: 0.21\n",
      "dlPFC for 8th sub: 0.36\n",
      "dlPFC for 9th sub: 0.3\n",
      "dlPFC for 10th sub: 0.13\n",
      "\n",
      "***Average across test subjects Correlation Coefficient between 3 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "INS: 0.19\n",
      "PCC: 0.19\n",
      "Cau: 0.11\n",
      "mCC: 0.04\n",
      "mOFC: 0.51\n",
      "l_OFC: 0.31\n",
      "vlPFC: 0.28\n",
      "dmPFC: 0.3\n",
      "VC: 0.13\n",
      "mPFC: 0.26\n",
      "pSTS: 0.29\n",
      "TP: 0.32\n",
      "IPL: 0.26\n",
      "Nac: 0.13\n",
      "ACC: 0.18\n",
      "PreCG: 0.15\n",
      "AMY: 0.28\n",
      "Put: 0.18\n",
      "dlPFC: 0.3\n",
      "***Each Test Subject's Correlation Coefficient between 4 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "INS for 1th sub: 0.01\n",
      "INS for 2th sub: 0.47\n",
      "INS for 3th sub: -0.0\n",
      "INS for 4th sub: -0.03\n",
      "INS for 5th sub: -0.07\n",
      "INS for 6th sub: -0.1\n",
      "INS for 7th sub: 0.3\n",
      "INS for 8th sub: 0.76\n",
      "INS for 9th sub: 0.32\n",
      "INS for 10th sub: 0.32\n",
      "PCC for 1th sub: 0.53\n",
      "PCC for 2th sub: 0.13\n",
      "PCC for 3th sub: 0.46\n",
      "PCC for 4th sub: 0.07\n",
      "PCC for 5th sub: 0.1\n",
      "PCC for 6th sub: -0.08\n",
      "PCC for 7th sub: 0.05\n",
      "PCC for 8th sub: -0.08\n",
      "PCC for 9th sub: 0.3\n",
      "PCC for 10th sub: 0.13\n",
      "Cau for 1th sub: -0.04\n",
      "Cau for 2th sub: 0.24\n",
      "Cau for 3th sub: 0.16\n",
      "Cau for 4th sub: 0.0\n",
      "Cau for 5th sub: 0.03\n",
      "Cau for 6th sub: 0.3\n",
      "Cau for 7th sub: 0.24\n",
      "Cau for 8th sub: -0.08\n",
      "Cau for 9th sub: 0.15\n",
      "Cau for 10th sub: 0.06\n",
      "mCC for 1th sub: 0.08\n",
      "mCC for 2th sub: 0.11\n",
      "mCC for 3th sub: 0.02\n",
      "mCC for 4th sub: 0.01\n",
      "mCC for 5th sub: -0.04\n",
      "mCC for 6th sub: 0.07\n",
      "mCC for 7th sub: -0.02\n",
      "mCC for 8th sub: 0.1\n",
      "mCC for 9th sub: 0.09\n",
      "mCC for 10th sub: -0.04\n",
      "mOFC for 1th sub: 0.24\n",
      "mOFC for 2th sub: 0.47\n",
      "mOFC for 3th sub: 0.49\n",
      "mOFC for 4th sub: 0.5\n",
      "mOFC for 5th sub: 0.51\n",
      "mOFC for 6th sub: 0.38\n",
      "mOFC for 7th sub: 0.5\n",
      "mOFC for 8th sub: 0.78\n",
      "mOFC for 9th sub: 0.75\n",
      "mOFC for 10th sub: 0.28\n",
      "l_OFC for 1th sub: 0.15\n",
      "l_OFC for 2th sub: 0.09\n",
      "l_OFC for 3th sub: -0.06\n",
      "l_OFC for 4th sub: 0.38\n",
      "l_OFC for 5th sub: 0.39\n",
      "l_OFC for 6th sub: 0.14\n",
      "l_OFC for 7th sub: 0.06\n",
      "l_OFC for 8th sub: 0.8\n",
      "l_OFC for 9th sub: 0.63\n",
      "l_OFC for 10th sub: 0.17\n",
      "vlPFC for 1th sub: 0.27\n",
      "vlPFC for 2th sub: 0.41\n",
      "vlPFC for 3th sub: 0.26\n",
      "vlPFC for 4th sub: 0.25\n",
      "vlPFC for 5th sub: -0.09\n",
      "vlPFC for 6th sub: 0.38\n",
      "vlPFC for 7th sub: 0.22\n",
      "vlPFC for 8th sub: 0.19\n",
      "vlPFC for 9th sub: 0.14\n",
      "vlPFC for 10th sub: 0.57\n",
      "dmPFC for 1th sub: 0.33\n",
      "dmPFC for 2th sub: 0.13\n",
      "dmPFC for 3th sub: 0.24\n",
      "dmPFC for 4th sub: 0.16\n",
      "dmPFC for 5th sub: 0.05\n",
      "dmPFC for 6th sub: 0.13\n",
      "dmPFC for 7th sub: 0.32\n",
      "dmPFC for 8th sub: 0.6\n",
      "dmPFC for 9th sub: 0.65\n",
      "dmPFC for 10th sub: 0.04\n",
      "VC for 1th sub: 0.34\n",
      "VC for 2th sub: -0.13\n",
      "VC for 3th sub: 0.24\n",
      "VC for 4th sub: 0.0\n",
      "VC for 5th sub: -0.1\n",
      "VC for 6th sub: 0.22\n",
      "VC for 7th sub: 0.1\n",
      "VC for 8th sub: -0.08\n",
      "VC for 9th sub: 0.05\n",
      "VC for 10th sub: -0.01\n",
      "mPFC for 1th sub: 0.14\n",
      "mPFC for 2th sub: 0.27\n",
      "mPFC for 3th sub: 0.32\n",
      "mPFC for 4th sub: 0.14\n",
      "mPFC for 5th sub: 0.54\n",
      "mPFC for 6th sub: 0.19\n",
      "mPFC for 7th sub: 0.11\n",
      "mPFC for 8th sub: 0.06\n",
      "mPFC for 9th sub: 0.73\n",
      "mPFC for 10th sub: 0.1\n",
      "pSTS for 1th sub: 0.32\n",
      "pSTS for 2th sub: 0.19\n",
      "pSTS for 3th sub: 0.04\n",
      "pSTS for 4th sub: 0.55\n",
      "pSTS for 5th sub: 0.26\n",
      "pSTS for 6th sub: 0.24\n",
      "pSTS for 7th sub: 0.23\n",
      "pSTS for 8th sub: 0.39\n",
      "pSTS for 9th sub: 0.07\n",
      "pSTS for 10th sub: 0.19\n",
      "TP for 1th sub: 0.47\n",
      "TP for 2th sub: 0.66\n",
      "TP for 3th sub: 0.32\n",
      "TP for 4th sub: 0.68\n",
      "TP for 5th sub: 0.06\n",
      "TP for 6th sub: 0.26\n",
      "TP for 7th sub: 0.15\n",
      "TP for 8th sub: 0.54\n",
      "TP for 9th sub: -0.25\n",
      "TP for 10th sub: 0.07\n",
      "IPL for 1th sub: 0.31\n",
      "IPL for 2th sub: -0.02\n",
      "IPL for 3th sub: 0.18\n",
      "IPL for 4th sub: 0.5\n",
      "IPL for 5th sub: 0.06\n",
      "IPL for 6th sub: 0.6\n",
      "IPL for 7th sub: 0.07\n",
      "IPL for 8th sub: 0.24\n",
      "IPL for 9th sub: 0.15\n",
      "IPL for 10th sub: 0.19\n",
      "Nac for 1th sub: 0.06\n",
      "Nac for 2th sub: 0.23\n",
      "Nac for 3th sub: 0.19\n",
      "Nac for 4th sub: 0.07\n",
      "Nac for 5th sub: -0.03\n",
      "Nac for 6th sub: 0.43\n",
      "Nac for 7th sub: 0.38\n",
      "Nac for 8th sub: 0.13\n",
      "Nac for 9th sub: 0.13\n",
      "Nac for 10th sub: 0.05\n",
      "ACC for 1th sub: 0.1\n",
      "ACC for 2th sub: 0.15\n",
      "ACC for 3th sub: 0.22\n",
      "ACC for 4th sub: 0.38\n",
      "ACC for 5th sub: 0.3\n",
      "ACC for 6th sub: 0.11\n",
      "ACC for 7th sub: 0.04\n",
      "ACC for 8th sub: 0.18\n",
      "ACC for 9th sub: 0.26\n",
      "ACC for 10th sub: -0.02\n",
      "PreCG for 1th sub: 0.45\n",
      "PreCG for 2th sub: 0.2\n",
      "PreCG for 3th sub: 0.02\n",
      "PreCG for 4th sub: 0.24\n",
      "PreCG for 5th sub: -0.1\n",
      "PreCG for 6th sub: 0.17\n",
      "PreCG for 7th sub: 0.29\n",
      "PreCG for 8th sub: 0.28\n",
      "PreCG for 9th sub: 0.08\n",
      "PreCG for 10th sub: -0.17\n",
      "AMY for 1th sub: 0.35\n",
      "AMY for 2th sub: 0.2\n",
      "AMY for 3th sub: 0.68\n",
      "AMY for 4th sub: 0.57\n",
      "AMY for 5th sub: 0.18\n",
      "AMY for 6th sub: 0.06\n",
      "AMY for 7th sub: -0.06\n",
      "AMY for 8th sub: 0.25\n",
      "AMY for 9th sub: 0.29\n",
      "AMY for 10th sub: 0.05\n",
      "Put for 1th sub: 0.19\n",
      "Put for 2th sub: 0.22\n",
      "Put for 3th sub: 0.11\n",
      "Put for 4th sub: 0.12\n",
      "Put for 5th sub: 0.09\n",
      "Put for 6th sub: 0.36\n",
      "Put for 7th sub: 0.35\n",
      "Put for 8th sub: -0.09\n",
      "Put for 9th sub: 0.24\n",
      "Put for 10th sub: 0.22\n",
      "dlPFC for 1th sub: 0.24\n",
      "dlPFC for 2th sub: 0.15\n",
      "dlPFC for 3th sub: 0.63\n",
      "dlPFC for 4th sub: 0.17\n",
      "dlPFC for 5th sub: 0.34\n",
      "dlPFC for 6th sub: 0.36\n",
      "dlPFC for 7th sub: 0.12\n",
      "dlPFC for 8th sub: 0.3\n",
      "dlPFC for 9th sub: 0.27\n",
      "dlPFC for 10th sub: 0.14\n",
      "\n",
      "***Average across test subjects Correlation Coefficient between 4 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "INS: 0.2\n",
      "PCC: 0.16\n",
      "Cau: 0.11\n",
      "mCC: 0.04\n",
      "mOFC: 0.49\n",
      "l_OFC: 0.28\n",
      "vlPFC: 0.26\n",
      "dmPFC: 0.27\n",
      "VC: 0.06\n",
      "mPFC: 0.26\n",
      "pSTS: 0.25\n",
      "TP: 0.29\n",
      "IPL: 0.23\n",
      "Nac: 0.16\n",
      "ACC: 0.17\n",
      "PreCG: 0.15\n",
      "AMY: 0.26\n",
      "Put: 0.18\n",
      "dlPFC: 0.27\n",
      "***Each Test Subject's Correlation Coefficient between 5 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "INS for 1th sub: 0.02\n",
      "INS for 2th sub: 0.39\n",
      "INS for 3th sub: 0.02\n",
      "INS for 4th sub: -0.04\n",
      "INS for 5th sub: -0.06\n",
      "INS for 6th sub: -0.05\n",
      "INS for 7th sub: 0.23\n",
      "INS for 8th sub: 0.76\n",
      "INS for 9th sub: 0.25\n",
      "INS for 10th sub: 0.2\n",
      "PCC for 1th sub: 0.58\n",
      "PCC for 2th sub: 0.12\n",
      "PCC for 3th sub: 0.49\n",
      "PCC for 4th sub: 0.05\n",
      "PCC for 5th sub: 0.08\n",
      "PCC for 6th sub: -0.08\n",
      "PCC for 7th sub: 0.12\n",
      "PCC for 8th sub: -0.08\n",
      "PCC for 9th sub: 0.26\n",
      "PCC for 10th sub: 0.14\n",
      "Cau for 1th sub: 0.01\n",
      "Cau for 2th sub: 0.24\n",
      "Cau for 3th sub: 0.04\n",
      "Cau for 4th sub: -0.03\n",
      "Cau for 5th sub: -0.07\n",
      "Cau for 6th sub: 0.36\n",
      "Cau for 7th sub: 0.26\n",
      "Cau for 8th sub: 0.03\n",
      "Cau for 9th sub: 0.15\n",
      "Cau for 10th sub: 0.08\n",
      "mCC for 1th sub: 0.12\n",
      "mCC for 2th sub: -0.01\n",
      "mCC for 3th sub: 0.06\n",
      "mCC for 4th sub: -0.0\n",
      "mCC for 5th sub: -0.05\n",
      "mCC for 6th sub: 0.1\n",
      "mCC for 7th sub: 0.01\n",
      "mCC for 8th sub: 0.09\n",
      "mCC for 9th sub: 0.1\n",
      "mCC for 10th sub: -0.03\n",
      "mOFC for 1th sub: 0.28\n",
      "mOFC for 2th sub: 0.49\n",
      "mOFC for 3th sub: 0.47\n",
      "mOFC for 4th sub: 0.49\n",
      "mOFC for 5th sub: 0.51\n",
      "mOFC for 6th sub: 0.36\n",
      "mOFC for 7th sub: 0.53\n",
      "mOFC for 8th sub: 0.77\n",
      "mOFC for 9th sub: 0.75\n",
      "mOFC for 10th sub: 0.2\n",
      "l_OFC for 1th sub: 0.12\n",
      "l_OFC for 2th sub: 0.08\n",
      "l_OFC for 3th sub: 0.01\n",
      "l_OFC for 4th sub: 0.4\n",
      "l_OFC for 5th sub: 0.43\n",
      "l_OFC for 6th sub: 0.15\n",
      "l_OFC for 7th sub: 0.26\n",
      "l_OFC for 8th sub: 0.8\n",
      "l_OFC for 9th sub: 0.62\n",
      "l_OFC for 10th sub: 0.12\n",
      "vlPFC for 1th sub: 0.23\n",
      "vlPFC for 2th sub: 0.32\n",
      "vlPFC for 3th sub: 0.32\n",
      "vlPFC for 4th sub: 0.25\n",
      "vlPFC for 5th sub: -0.04\n",
      "vlPFC for 6th sub: 0.43\n",
      "vlPFC for 7th sub: 0.2\n",
      "vlPFC for 8th sub: 0.22\n",
      "vlPFC for 9th sub: 0.07\n",
      "vlPFC for 10th sub: 0.5\n",
      "dmPFC for 1th sub: 0.31\n",
      "dmPFC for 2th sub: 0.02\n",
      "dmPFC for 3th sub: 0.24\n",
      "dmPFC for 4th sub: 0.03\n",
      "dmPFC for 5th sub: 0.07\n",
      "dmPFC for 6th sub: 0.18\n",
      "dmPFC for 7th sub: 0.31\n",
      "dmPFC for 8th sub: 0.57\n",
      "dmPFC for 9th sub: 0.64\n",
      "dmPFC for 10th sub: 0.09\n",
      "VC for 1th sub: 0.34\n",
      "VC for 2th sub: -0.29\n",
      "VC for 3th sub: 0.26\n",
      "VC for 4th sub: -0.08\n",
      "VC for 5th sub: -0.05\n",
      "VC for 6th sub: 0.12\n",
      "VC for 7th sub: 0.04\n",
      "VC for 8th sub: 0.0\n",
      "VC for 9th sub: 0.03\n",
      "VC for 10th sub: 0.01\n",
      "mPFC for 1th sub: 0.15\n",
      "mPFC for 2th sub: 0.21\n",
      "mPFC for 3th sub: 0.39\n",
      "mPFC for 4th sub: 0.19\n",
      "mPFC for 5th sub: 0.54\n",
      "mPFC for 6th sub: 0.19\n",
      "mPFC for 7th sub: 0.2\n",
      "mPFC for 8th sub: 0.04\n",
      "mPFC for 9th sub: 0.73\n",
      "mPFC for 10th sub: 0.08\n",
      "pSTS for 1th sub: 0.27\n",
      "pSTS for 2th sub: 0.14\n",
      "pSTS for 3th sub: 0.11\n",
      "pSTS for 4th sub: 0.48\n",
      "pSTS for 5th sub: 0.22\n",
      "pSTS for 6th sub: 0.22\n",
      "pSTS for 7th sub: 0.24\n",
      "pSTS for 8th sub: 0.41\n",
      "pSTS for 9th sub: 0.04\n",
      "pSTS for 10th sub: 0.14\n",
      "TP for 1th sub: 0.51\n",
      "TP for 2th sub: 0.63\n",
      "TP for 3th sub: 0.4\n",
      "TP for 4th sub: 0.65\n",
      "TP for 5th sub: 0.09\n",
      "TP for 6th sub: 0.21\n",
      "TP for 7th sub: 0.19\n",
      "TP for 8th sub: 0.54\n",
      "TP for 9th sub: -0.17\n",
      "TP for 10th sub: 0.08\n",
      "IPL for 1th sub: 0.3\n",
      "IPL for 2th sub: -0.07\n",
      "IPL for 3th sub: 0.13\n",
      "IPL for 4th sub: 0.45\n",
      "IPL for 5th sub: 0.05\n",
      "IPL for 6th sub: 0.64\n",
      "IPL for 7th sub: 0.02\n",
      "IPL for 8th sub: 0.2\n",
      "IPL for 9th sub: 0.15\n",
      "IPL for 10th sub: 0.13\n",
      "Nac for 1th sub: 0.01\n",
      "Nac for 2th sub: 0.23\n",
      "Nac for 3th sub: 0.1\n",
      "Nac for 4th sub: -0.04\n",
      "Nac for 5th sub: -0.07\n",
      "Nac for 6th sub: 0.47\n",
      "Nac for 7th sub: 0.41\n",
      "Nac for 8th sub: 0.17\n",
      "Nac for 9th sub: 0.15\n",
      "Nac for 10th sub: 0.01\n",
      "ACC for 1th sub: 0.18\n",
      "ACC for 2th sub: 0.02\n",
      "ACC for 3th sub: 0.21\n",
      "ACC for 4th sub: 0.28\n",
      "ACC for 5th sub: 0.29\n",
      "ACC for 6th sub: 0.14\n",
      "ACC for 7th sub: 0.01\n",
      "ACC for 8th sub: 0.25\n",
      "ACC for 9th sub: 0.31\n",
      "ACC for 10th sub: 0.04\n",
      "PreCG for 1th sub: 0.52\n",
      "PreCG for 2th sub: 0.19\n",
      "PreCG for 3th sub: 0.03\n",
      "PreCG for 4th sub: 0.22\n",
      "PreCG for 5th sub: -0.11\n",
      "PreCG for 6th sub: 0.18\n",
      "PreCG for 7th sub: 0.38\n",
      "PreCG for 8th sub: 0.28\n",
      "PreCG for 9th sub: 0.06\n",
      "PreCG for 10th sub: -0.14\n",
      "AMY for 1th sub: 0.31\n",
      "AMY for 2th sub: 0.13\n",
      "AMY for 3th sub: 0.7\n",
      "AMY for 4th sub: 0.55\n",
      "AMY for 5th sub: 0.09\n",
      "AMY for 6th sub: 0.19\n",
      "AMY for 7th sub: -0.13\n",
      "AMY for 8th sub: 0.27\n",
      "AMY for 9th sub: 0.29\n",
      "AMY for 10th sub: 0.11\n",
      "Put for 1th sub: 0.14\n",
      "Put for 2th sub: 0.25\n",
      "Put for 3th sub: -0.04\n",
      "Put for 4th sub: 0.14\n",
      "Put for 5th sub: 0.05\n",
      "Put for 6th sub: 0.43\n",
      "Put for 7th sub: 0.32\n",
      "Put for 8th sub: 0.03\n",
      "Put for 9th sub: 0.24\n",
      "Put for 10th sub: 0.09\n",
      "dlPFC for 1th sub: 0.35\n",
      "dlPFC for 2th sub: 0.06\n",
      "dlPFC for 3th sub: 0.66\n",
      "dlPFC for 4th sub: 0.22\n",
      "dlPFC for 5th sub: 0.36\n",
      "dlPFC for 6th sub: 0.33\n",
      "dlPFC for 7th sub: 0.15\n",
      "dlPFC for 8th sub: 0.36\n",
      "dlPFC for 9th sub: 0.21\n",
      "dlPFC for 10th sub: 0.01\n",
      "\n",
      "***Average across test subjects Correlation Coefficient between 5 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "INS: 0.17\n",
      "PCC: 0.17\n",
      "Cau: 0.11\n",
      "mCC: 0.04\n",
      "mOFC: 0.48\n",
      "l_OFC: 0.3\n",
      "vlPFC: 0.25\n",
      "dmPFC: 0.25\n",
      "VC: 0.04\n",
      "mPFC: 0.27\n",
      "pSTS: 0.23\n",
      "TP: 0.31\n",
      "IPL: 0.2\n",
      "Nac: 0.14\n",
      "ACC: 0.17\n",
      "PreCG: 0.16\n",
      "AMY: 0.25\n",
      "Put: 0.17\n",
      "dlPFC: 0.27\n",
      "***Each Test Subject's Correlation Coefficient between 6 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "INS for 1th sub: 0.04\n",
      "INS for 2th sub: 0.33\n",
      "INS for 3th sub: -0.02\n",
      "INS for 4th sub: 0.0\n",
      "INS for 5th sub: 0.07\n",
      "INS for 6th sub: -0.02\n",
      "INS for 7th sub: 0.21\n",
      "INS for 8th sub: 0.73\n",
      "INS for 9th sub: 0.25\n",
      "INS for 10th sub: 0.21\n",
      "PCC for 1th sub: 0.55\n",
      "PCC for 2th sub: 0.11\n",
      "PCC for 3th sub: 0.45\n",
      "PCC for 4th sub: -0.0\n",
      "PCC for 5th sub: 0.1\n",
      "PCC for 6th sub: 0.0\n",
      "PCC for 7th sub: 0.06\n",
      "PCC for 8th sub: -0.1\n",
      "PCC for 9th sub: 0.3\n",
      "PCC for 10th sub: 0.13\n",
      "Cau for 1th sub: 0.03\n",
      "Cau for 2th sub: 0.27\n",
      "Cau for 3th sub: 0.06\n",
      "Cau for 4th sub: 0.02\n",
      "Cau for 5th sub: 0.0\n",
      "Cau for 6th sub: 0.4\n",
      "Cau for 7th sub: 0.22\n",
      "Cau for 8th sub: -0.02\n",
      "Cau for 9th sub: 0.02\n",
      "Cau for 10th sub: 0.22\n",
      "mCC for 1th sub: 0.14\n",
      "mCC for 2th sub: 0.01\n",
      "mCC for 3th sub: 0.02\n",
      "mCC for 4th sub: 0.01\n",
      "mCC for 5th sub: -0.01\n",
      "mCC for 6th sub: 0.14\n",
      "mCC for 7th sub: 0.07\n",
      "mCC for 8th sub: 0.08\n",
      "mCC for 9th sub: 0.15\n",
      "mCC for 10th sub: 0.11\n",
      "mOFC for 1th sub: 0.16\n",
      "mOFC for 2th sub: 0.52\n",
      "mOFC for 3th sub: 0.4\n",
      "mOFC for 4th sub: 0.43\n",
      "mOFC for 5th sub: 0.49\n",
      "mOFC for 6th sub: 0.32\n",
      "mOFC for 7th sub: 0.49\n",
      "mOFC for 8th sub: 0.77\n",
      "mOFC for 9th sub: 0.72\n",
      "mOFC for 10th sub: 0.24\n",
      "l_OFC for 1th sub: 0.09\n",
      "l_OFC for 2th sub: 0.13\n",
      "l_OFC for 3th sub: -0.01\n",
      "l_OFC for 4th sub: 0.38\n",
      "l_OFC for 5th sub: 0.47\n",
      "l_OFC for 6th sub: 0.15\n",
      "l_OFC for 7th sub: 0.17\n",
      "l_OFC for 8th sub: 0.79\n",
      "l_OFC for 9th sub: 0.6\n",
      "l_OFC for 10th sub: 0.22\n",
      "vlPFC for 1th sub: 0.28\n",
      "vlPFC for 2th sub: 0.26\n",
      "vlPFC for 3th sub: 0.27\n",
      "vlPFC for 4th sub: 0.28\n",
      "vlPFC for 5th sub: 0.06\n",
      "vlPFC for 6th sub: 0.41\n",
      "vlPFC for 7th sub: 0.09\n",
      "vlPFC for 8th sub: 0.15\n",
      "vlPFC for 9th sub: 0.1\n",
      "vlPFC for 10th sub: 0.54\n",
      "dmPFC for 1th sub: 0.38\n",
      "dmPFC for 2th sub: 0.03\n",
      "dmPFC for 3th sub: 0.26\n",
      "dmPFC for 4th sub: 0.01\n",
      "dmPFC for 5th sub: 0.03\n",
      "dmPFC for 6th sub: 0.27\n",
      "dmPFC for 7th sub: 0.37\n",
      "dmPFC for 8th sub: 0.62\n",
      "dmPFC for 9th sub: 0.63\n",
      "dmPFC for 10th sub: -0.05\n",
      "VC for 1th sub: 0.31\n",
      "VC for 2th sub: -0.38\n",
      "VC for 3th sub: 0.19\n",
      "VC for 4th sub: -0.13\n",
      "VC for 5th sub: -0.03\n",
      "VC for 6th sub: 0.01\n",
      "VC for 7th sub: 0.01\n",
      "VC for 8th sub: -0.0\n",
      "VC for 9th sub: 0.02\n",
      "VC for 10th sub: 0.04\n",
      "mPFC for 1th sub: 0.09\n",
      "mPFC for 2th sub: 0.18\n",
      "mPFC for 3th sub: 0.37\n",
      "mPFC for 4th sub: 0.14\n",
      "mPFC for 5th sub: 0.52\n",
      "mPFC for 6th sub: 0.12\n",
      "mPFC for 7th sub: 0.12\n",
      "mPFC for 8th sub: 0.08\n",
      "mPFC for 9th sub: 0.74\n",
      "mPFC for 10th sub: -0.03\n",
      "pSTS for 1th sub: 0.21\n",
      "pSTS for 2th sub: 0.06\n",
      "pSTS for 3th sub: 0.07\n",
      "pSTS for 4th sub: 0.41\n",
      "pSTS for 5th sub: 0.16\n",
      "pSTS for 6th sub: 0.25\n",
      "pSTS for 7th sub: 0.2\n",
      "pSTS for 8th sub: 0.4\n",
      "pSTS for 9th sub: 0.0\n",
      "pSTS for 10th sub: 0.09\n",
      "TP for 1th sub: 0.4\n",
      "TP for 2th sub: 0.6\n",
      "TP for 3th sub: 0.36\n",
      "TP for 4th sub: 0.65\n",
      "TP for 5th sub: -0.01\n",
      "TP for 6th sub: 0.18\n",
      "TP for 7th sub: 0.05\n",
      "TP for 8th sub: 0.58\n",
      "TP for 9th sub: -0.2\n",
      "TP for 10th sub: 0.06\n",
      "IPL for 1th sub: 0.32\n",
      "IPL for 2th sub: -0.13\n",
      "IPL for 3th sub: 0.04\n",
      "IPL for 4th sub: 0.47\n",
      "IPL for 5th sub: 0.03\n",
      "IPL for 6th sub: 0.57\n",
      "IPL for 7th sub: -0.05\n",
      "IPL for 8th sub: 0.12\n",
      "IPL for 9th sub: 0.07\n",
      "IPL for 10th sub: 0.13\n",
      "Nac for 1th sub: 0.06\n",
      "Nac for 2th sub: 0.2\n",
      "Nac for 3th sub: 0.03\n",
      "Nac for 4th sub: -0.04\n",
      "Nac for 5th sub: 0.0\n",
      "Nac for 6th sub: 0.53\n",
      "Nac for 7th sub: 0.41\n",
      "Nac for 8th sub: 0.13\n",
      "Nac for 9th sub: -0.01\n",
      "Nac for 10th sub: 0.14\n",
      "ACC for 1th sub: 0.2\n",
      "ACC for 2th sub: 0.02\n",
      "ACC for 3th sub: 0.3\n",
      "ACC for 4th sub: 0.27\n",
      "ACC for 5th sub: 0.34\n",
      "ACC for 6th sub: 0.17\n",
      "ACC for 7th sub: 0.04\n",
      "ACC for 8th sub: 0.19\n",
      "ACC for 9th sub: 0.25\n",
      "ACC for 10th sub: 0.02\n",
      "PreCG for 1th sub: 0.52\n",
      "PreCG for 2th sub: 0.15\n",
      "PreCG for 3th sub: -0.03\n",
      "PreCG for 4th sub: 0.16\n",
      "PreCG for 5th sub: -0.09\n",
      "PreCG for 6th sub: 0.14\n",
      "PreCG for 7th sub: 0.39\n",
      "PreCG for 8th sub: 0.22\n",
      "PreCG for 9th sub: 0.06\n",
      "PreCG for 10th sub: -0.11\n",
      "AMY for 1th sub: 0.25\n",
      "AMY for 2th sub: 0.07\n",
      "AMY for 3th sub: 0.68\n",
      "AMY for 4th sub: 0.56\n",
      "AMY for 5th sub: 0.08\n",
      "AMY for 6th sub: 0.13\n",
      "AMY for 7th sub: -0.07\n",
      "AMY for 8th sub: 0.22\n",
      "AMY for 9th sub: 0.23\n",
      "AMY for 10th sub: 0.03\n",
      "Put for 1th sub: 0.24\n",
      "Put for 2th sub: 0.18\n",
      "Put for 3th sub: 0.03\n",
      "Put for 4th sub: 0.1\n",
      "Put for 5th sub: 0.14\n",
      "Put for 6th sub: 0.42\n",
      "Put for 7th sub: 0.32\n",
      "Put for 8th sub: -0.12\n",
      "Put for 9th sub: 0.27\n",
      "Put for 10th sub: 0.23\n",
      "dlPFC for 1th sub: 0.38\n",
      "dlPFC for 2th sub: 0.01\n",
      "dlPFC for 3th sub: 0.61\n",
      "dlPFC for 4th sub: 0.18\n",
      "dlPFC for 5th sub: 0.44\n",
      "dlPFC for 6th sub: 0.26\n",
      "dlPFC for 7th sub: 0.19\n",
      "dlPFC for 8th sub: 0.32\n",
      "dlPFC for 9th sub: 0.19\n",
      "dlPFC for 10th sub: 0.1\n",
      "\n",
      "***Average across test subjects Correlation Coefficient between 6 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "INS: 0.18\n",
      "PCC: 0.16\n",
      "Cau: 0.12\n",
      "mCC: 0.07\n",
      "mOFC: 0.45\n",
      "l_OFC: 0.3\n",
      "vlPFC: 0.25\n",
      "dmPFC: 0.26\n",
      "VC: 0.0\n",
      "mPFC: 0.23\n",
      "pSTS: 0.19\n",
      "TP: 0.27\n",
      "IPL: 0.16\n",
      "Nac: 0.14\n",
      "ACC: 0.18\n",
      "PreCG: 0.14\n",
      "AMY: 0.22\n",
      "Put: 0.18\n",
      "dlPFC: 0.27\n",
      "***Each Test Subject's Correlation Coefficient between 7 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "INS for 1th sub: 0.13\n",
      "INS for 2th sub: 0.36\n",
      "INS for 3th sub: -0.07\n",
      "INS for 4th sub: 0.07\n",
      "INS for 5th sub: 0.02\n",
      "INS for 6th sub: 0.02\n",
      "INS for 7th sub: 0.28\n",
      "INS for 8th sub: 0.77\n",
      "INS for 9th sub: 0.37\n",
      "INS for 10th sub: 0.26\n",
      "PCC for 1th sub: 0.56\n",
      "PCC for 2th sub: 0.06\n",
      "PCC for 3th sub: 0.47\n",
      "PCC for 4th sub: -0.07\n",
      "PCC for 5th sub: 0.13\n",
      "PCC for 6th sub: -0.03\n",
      "PCC for 7th sub: 0.09\n",
      "PCC for 8th sub: -0.14\n",
      "PCC for 9th sub: 0.34\n",
      "PCC for 10th sub: 0.02\n",
      "Cau for 1th sub: 0.1\n",
      "Cau for 2th sub: 0.14\n",
      "Cau for 3th sub: 0.1\n",
      "Cau for 4th sub: -0.13\n",
      "Cau for 5th sub: 0.08\n",
      "Cau for 6th sub: 0.42\n",
      "Cau for 7th sub: 0.21\n",
      "Cau for 8th sub: -0.06\n",
      "Cau for 9th sub: 0.1\n",
      "Cau for 10th sub: 0.14\n",
      "mCC for 1th sub: 0.06\n",
      "mCC for 2th sub: -0.04\n",
      "mCC for 3th sub: 0.03\n",
      "mCC for 4th sub: -0.07\n",
      "mCC for 5th sub: -0.04\n",
      "mCC for 6th sub: 0.12\n",
      "mCC for 7th sub: 0.08\n",
      "mCC for 8th sub: 0.07\n",
      "mCC for 9th sub: 0.09\n",
      "mCC for 10th sub: -0.03\n",
      "mOFC for 1th sub: 0.2\n",
      "mOFC for 2th sub: 0.53\n",
      "mOFC for 3th sub: 0.42\n",
      "mOFC for 4th sub: 0.42\n",
      "mOFC for 5th sub: 0.55\n",
      "mOFC for 6th sub: 0.31\n",
      "mOFC for 7th sub: 0.53\n",
      "mOFC for 8th sub: 0.78\n",
      "mOFC for 9th sub: 0.7\n",
      "mOFC for 10th sub: 0.18\n",
      "l_OFC for 1th sub: 0.09\n",
      "l_OFC for 2th sub: 0.11\n",
      "l_OFC for 3th sub: 0.01\n",
      "l_OFC for 4th sub: 0.37\n",
      "l_OFC for 5th sub: 0.41\n",
      "l_OFC for 6th sub: 0.16\n",
      "l_OFC for 7th sub: 0.14\n",
      "l_OFC for 8th sub: 0.79\n",
      "l_OFC for 9th sub: 0.63\n",
      "l_OFC for 10th sub: 0.22\n",
      "vlPFC for 1th sub: 0.3\n",
      "vlPFC for 2th sub: 0.26\n",
      "vlPFC for 3th sub: 0.23\n",
      "vlPFC for 4th sub: 0.29\n",
      "vlPFC for 5th sub: 0.0\n",
      "vlPFC for 6th sub: 0.36\n",
      "vlPFC for 7th sub: 0.13\n",
      "vlPFC for 8th sub: 0.21\n",
      "vlPFC for 9th sub: 0.21\n",
      "vlPFC for 10th sub: 0.53\n",
      "dmPFC for 1th sub: 0.32\n",
      "dmPFC for 2th sub: -0.03\n",
      "dmPFC for 3th sub: 0.28\n",
      "dmPFC for 4th sub: -0.02\n",
      "dmPFC for 5th sub: -0.04\n",
      "dmPFC for 6th sub: 0.2\n",
      "dmPFC for 7th sub: 0.31\n",
      "dmPFC for 8th sub: 0.57\n",
      "dmPFC for 9th sub: 0.62\n",
      "dmPFC for 10th sub: -0.13\n",
      "VC for 1th sub: 0.33\n",
      "VC for 2th sub: -0.41\n",
      "VC for 3th sub: 0.16\n",
      "VC for 4th sub: -0.14\n",
      "VC for 5th sub: -0.04\n",
      "VC for 6th sub: 0.03\n",
      "VC for 7th sub: 0.03\n",
      "VC for 8th sub: -0.01\n",
      "VC for 9th sub: 0.03\n",
      "VC for 10th sub: -0.06\n",
      "mPFC for 1th sub: 0.07\n",
      "mPFC for 2th sub: 0.22\n",
      "mPFC for 3th sub: 0.36\n",
      "mPFC for 4th sub: 0.1\n",
      "mPFC for 5th sub: 0.56\n",
      "mPFC for 6th sub: 0.21\n",
      "mPFC for 7th sub: 0.16\n",
      "mPFC for 8th sub: 0.02\n",
      "mPFC for 9th sub: 0.73\n",
      "mPFC for 10th sub: -0.1\n",
      "pSTS for 1th sub: 0.24\n",
      "pSTS for 2th sub: 0.01\n",
      "pSTS for 3th sub: 0.07\n",
      "pSTS for 4th sub: 0.38\n",
      "pSTS for 5th sub: 0.14\n",
      "pSTS for 6th sub: 0.21\n",
      "pSTS for 7th sub: 0.27\n",
      "pSTS for 8th sub: 0.39\n",
      "pSTS for 9th sub: -0.07\n",
      "pSTS for 10th sub: 0.08\n",
      "TP for 1th sub: 0.39\n",
      "TP for 2th sub: 0.61\n",
      "TP for 3th sub: 0.23\n",
      "TP for 4th sub: 0.66\n",
      "TP for 5th sub: 0.07\n",
      "TP for 6th sub: 0.16\n",
      "TP for 7th sub: 0.15\n",
      "TP for 8th sub: 0.48\n",
      "TP for 9th sub: -0.23\n",
      "TP for 10th sub: 0.11\n",
      "IPL for 1th sub: 0.31\n",
      "IPL for 2th sub: -0.17\n",
      "IPL for 3th sub: 0.06\n",
      "IPL for 4th sub: 0.4\n",
      "IPL for 5th sub: -0.0\n",
      "IPL for 6th sub: 0.53\n",
      "IPL for 7th sub: -0.0\n",
      "IPL for 8th sub: 0.12\n",
      "IPL for 9th sub: 0.02\n",
      "IPL for 10th sub: 0.13\n",
      "Nac for 1th sub: 0.07\n",
      "Nac for 2th sub: 0.09\n",
      "Nac for 3th sub: 0.12\n",
      "Nac for 4th sub: -0.15\n",
      "Nac for 5th sub: 0.09\n",
      "Nac for 6th sub: 0.54\n",
      "Nac for 7th sub: 0.39\n",
      "Nac for 8th sub: 0.08\n",
      "Nac for 9th sub: 0.05\n",
      "Nac for 10th sub: 0.08\n",
      "ACC for 1th sub: 0.25\n",
      "ACC for 2th sub: -0.07\n",
      "ACC for 3th sub: 0.29\n",
      "ACC for 4th sub: 0.2\n",
      "ACC for 5th sub: 0.39\n",
      "ACC for 6th sub: 0.18\n",
      "ACC for 7th sub: 0.05\n",
      "ACC for 8th sub: 0.18\n",
      "ACC for 9th sub: 0.33\n",
      "ACC for 10th sub: 0.04\n",
      "PreCG for 1th sub: 0.54\n",
      "PreCG for 2th sub: 0.08\n",
      "PreCG for 3th sub: 0.03\n",
      "PreCG for 4th sub: 0.14\n",
      "PreCG for 5th sub: -0.15\n",
      "PreCG for 6th sub: 0.15\n",
      "PreCG for 7th sub: 0.42\n",
      "PreCG for 8th sub: 0.24\n",
      "PreCG for 9th sub: 0.07\n",
      "PreCG for 10th sub: -0.1\n",
      "AMY for 1th sub: 0.15\n",
      "AMY for 2th sub: 0.07\n",
      "AMY for 3th sub: 0.68\n",
      "AMY for 4th sub: 0.52\n",
      "AMY for 5th sub: 0.05\n",
      "AMY for 6th sub: 0.05\n",
      "AMY for 7th sub: -0.1\n",
      "AMY for 8th sub: 0.21\n",
      "AMY for 9th sub: 0.3\n",
      "AMY for 10th sub: 0.02\n",
      "Put for 1th sub: 0.19\n",
      "Put for 2th sub: 0.11\n",
      "Put for 3th sub: 0.03\n",
      "Put for 4th sub: 0.06\n",
      "Put for 5th sub: 0.1\n",
      "Put for 6th sub: 0.38\n",
      "Put for 7th sub: 0.27\n",
      "Put for 8th sub: 0.02\n",
      "Put for 9th sub: 0.27\n",
      "Put for 10th sub: 0.23\n",
      "dlPFC for 1th sub: 0.45\n",
      "dlPFC for 2th sub: 0.06\n",
      "dlPFC for 3th sub: 0.65\n",
      "dlPFC for 4th sub: 0.14\n",
      "dlPFC for 5th sub: 0.42\n",
      "dlPFC for 6th sub: 0.26\n",
      "dlPFC for 7th sub: 0.29\n",
      "dlPFC for 8th sub: 0.36\n",
      "dlPFC for 9th sub: 0.17\n",
      "dlPFC for 10th sub: 0.13\n",
      "\n",
      "***Average across test subjects Correlation Coefficient between 7 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "INS: 0.22\n",
      "PCC: 0.14\n",
      "Cau: 0.11\n",
      "mCC: 0.03\n",
      "mOFC: 0.46\n",
      "l_OFC: 0.29\n",
      "vlPFC: 0.25\n",
      "dmPFC: 0.21\n",
      "VC: -0.01\n",
      "mPFC: 0.23\n",
      "pSTS: 0.17\n",
      "TP: 0.26\n",
      "IPL: 0.14\n",
      "Nac: 0.14\n",
      "ACC: 0.18\n",
      "PreCG: 0.14\n",
      "AMY: 0.19\n",
      "Put: 0.17\n",
      "dlPFC: 0.29\n",
      "***Each Test Subject's Correlation Coefficient between 8 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "INS for 1th sub: 0.04\n",
      "INS for 2th sub: 0.33\n",
      "INS for 3th sub: -0.05\n",
      "INS for 4th sub: 0.13\n",
      "INS for 5th sub: 0.1\n",
      "INS for 6th sub: 0.02\n",
      "INS for 7th sub: 0.22\n",
      "INS for 8th sub: 0.74\n",
      "INS for 9th sub: 0.29\n",
      "INS for 10th sub: 0.17\n",
      "PCC for 1th sub: 0.49\n",
      "PCC for 2th sub: 0.0\n",
      "PCC for 3th sub: 0.46\n",
      "PCC for 4th sub: -0.13\n",
      "PCC for 5th sub: 0.07\n",
      "PCC for 6th sub: -0.06\n",
      "PCC for 7th sub: 0.12\n",
      "PCC for 8th sub: -0.11\n",
      "PCC for 9th sub: 0.3\n",
      "PCC for 10th sub: -0.03\n",
      "Cau for 1th sub: 0.04\n",
      "Cau for 2th sub: 0.17\n",
      "Cau for 3th sub: 0.08\n",
      "Cau for 4th sub: -0.08\n",
      "Cau for 5th sub: 0.08\n",
      "Cau for 6th sub: 0.51\n",
      "Cau for 7th sub: 0.21\n",
      "Cau for 8th sub: 0.03\n",
      "Cau for 9th sub: 0.1\n",
      "Cau for 10th sub: 0.07\n",
      "mCC for 1th sub: 0.07\n",
      "mCC for 2th sub: -0.02\n",
      "mCC for 3th sub: 0.03\n",
      "mCC for 4th sub: -0.17\n",
      "mCC for 5th sub: -0.01\n",
      "mCC for 6th sub: 0.01\n",
      "mCC for 7th sub: 0.02\n",
      "mCC for 8th sub: 0.14\n",
      "mCC for 9th sub: 0.17\n",
      "mCC for 10th sub: -0.09\n",
      "mOFC for 1th sub: 0.18\n",
      "mOFC for 2th sub: 0.47\n",
      "mOFC for 3th sub: 0.37\n",
      "mOFC for 4th sub: 0.36\n",
      "mOFC for 5th sub: 0.54\n",
      "mOFC for 6th sub: 0.33\n",
      "mOFC for 7th sub: 0.46\n",
      "mOFC for 8th sub: 0.78\n",
      "mOFC for 9th sub: 0.68\n",
      "mOFC for 10th sub: 0.17\n",
      "l_OFC for 1th sub: 0.07\n",
      "l_OFC for 2th sub: 0.01\n",
      "l_OFC for 3th sub: -0.05\n",
      "l_OFC for 4th sub: 0.38\n",
      "l_OFC for 5th sub: 0.47\n",
      "l_OFC for 6th sub: 0.01\n",
      "l_OFC for 7th sub: 0.24\n",
      "l_OFC for 8th sub: 0.77\n",
      "l_OFC for 9th sub: 0.63\n",
      "l_OFC for 10th sub: 0.17\n",
      "vlPFC for 1th sub: 0.29\n",
      "vlPFC for 2th sub: 0.23\n",
      "vlPFC for 3th sub: 0.25\n",
      "vlPFC for 4th sub: 0.3\n",
      "vlPFC for 5th sub: 0.1\n",
      "vlPFC for 6th sub: 0.38\n",
      "vlPFC for 7th sub: 0.12\n",
      "vlPFC for 8th sub: 0.18\n",
      "vlPFC for 9th sub: 0.14\n",
      "vlPFC for 10th sub: 0.48\n",
      "dmPFC for 1th sub: 0.31\n",
      "dmPFC for 2th sub: 0.02\n",
      "dmPFC for 3th sub: 0.26\n",
      "dmPFC for 4th sub: -0.02\n",
      "dmPFC for 5th sub: -0.1\n",
      "dmPFC for 6th sub: 0.22\n",
      "dmPFC for 7th sub: 0.39\n",
      "dmPFC for 8th sub: 0.6\n",
      "dmPFC for 9th sub: 0.62\n",
      "dmPFC for 10th sub: -0.08\n",
      "VC for 1th sub: 0.25\n",
      "VC for 2th sub: -0.44\n",
      "VC for 3th sub: 0.09\n",
      "VC for 4th sub: -0.15\n",
      "VC for 5th sub: -0.11\n",
      "VC for 6th sub: -0.02\n",
      "VC for 7th sub: 0.05\n",
      "VC for 8th sub: -0.04\n",
      "VC for 9th sub: 0.01\n",
      "VC for 10th sub: -0.23\n",
      "mPFC for 1th sub: -0.03\n",
      "mPFC for 2th sub: 0.25\n",
      "mPFC for 3th sub: 0.39\n",
      "mPFC for 4th sub: 0.09\n",
      "mPFC for 5th sub: 0.53\n",
      "mPFC for 6th sub: 0.21\n",
      "mPFC for 7th sub: 0.19\n",
      "mPFC for 8th sub: 0.01\n",
      "mPFC for 9th sub: 0.75\n",
      "mPFC for 10th sub: -0.15\n",
      "pSTS for 1th sub: 0.2\n",
      "pSTS for 2th sub: -0.03\n",
      "pSTS for 3th sub: 0.16\n",
      "pSTS for 4th sub: 0.34\n",
      "pSTS for 5th sub: 0.21\n",
      "pSTS for 6th sub: 0.18\n",
      "pSTS for 7th sub: 0.29\n",
      "pSTS for 8th sub: 0.41\n",
      "pSTS for 9th sub: 0.01\n",
      "pSTS for 10th sub: 0.16\n",
      "TP for 1th sub: 0.4\n",
      "TP for 2th sub: 0.62\n",
      "TP for 3th sub: 0.3\n",
      "TP for 4th sub: 0.61\n",
      "TP for 5th sub: 0.05\n",
      "TP for 6th sub: 0.22\n",
      "TP for 7th sub: 0.06\n",
      "TP for 8th sub: 0.53\n",
      "TP for 9th sub: -0.16\n",
      "TP for 10th sub: -0.05\n",
      "IPL for 1th sub: 0.22\n",
      "IPL for 2th sub: -0.16\n",
      "IPL for 3th sub: -0.0\n",
      "IPL for 4th sub: 0.36\n",
      "IPL for 5th sub: -0.01\n",
      "IPL for 6th sub: 0.48\n",
      "IPL for 7th sub: 0.01\n",
      "IPL for 8th sub: 0.16\n",
      "IPL for 9th sub: 0.03\n",
      "IPL for 10th sub: 0.08\n",
      "Nac for 1th sub: 0.03\n",
      "Nac for 2th sub: 0.08\n",
      "Nac for 3th sub: 0.03\n",
      "Nac for 4th sub: -0.14\n",
      "Nac for 5th sub: 0.09\n",
      "Nac for 6th sub: 0.64\n",
      "Nac for 7th sub: 0.35\n",
      "Nac for 8th sub: 0.11\n",
      "Nac for 9th sub: 0.03\n",
      "Nac for 10th sub: 0.02\n",
      "ACC for 1th sub: 0.16\n",
      "ACC for 2th sub: -0.01\n",
      "ACC for 3th sub: 0.29\n",
      "ACC for 4th sub: 0.23\n",
      "ACC for 5th sub: 0.37\n",
      "ACC for 6th sub: 0.18\n",
      "ACC for 7th sub: 0.03\n",
      "ACC for 8th sub: 0.2\n",
      "ACC for 9th sub: 0.33\n",
      "ACC for 10th sub: 0.02\n",
      "PreCG for 1th sub: 0.51\n",
      "PreCG for 2th sub: 0.01\n",
      "PreCG for 3th sub: -0.02\n",
      "PreCG for 4th sub: 0.12\n",
      "PreCG for 5th sub: -0.18\n",
      "PreCG for 6th sub: -0.05\n",
      "PreCG for 7th sub: 0.49\n",
      "PreCG for 8th sub: 0.19\n",
      "PreCG for 9th sub: 0.07\n",
      "PreCG for 10th sub: -0.08\n",
      "AMY for 1th sub: 0.08\n",
      "AMY for 2th sub: -0.0\n",
      "AMY for 3th sub: 0.67\n",
      "AMY for 4th sub: 0.53\n",
      "AMY for 5th sub: 0.07\n",
      "AMY for 6th sub: 0.1\n",
      "AMY for 7th sub: -0.13\n",
      "AMY for 8th sub: 0.31\n",
      "AMY for 9th sub: 0.29\n",
      "AMY for 10th sub: 0.13\n",
      "Put for 1th sub: 0.21\n",
      "Put for 2th sub: 0.09\n",
      "Put for 3th sub: 0.04\n",
      "Put for 4th sub: 0.09\n",
      "Put for 5th sub: 0.07\n",
      "Put for 6th sub: 0.41\n",
      "Put for 7th sub: 0.33\n",
      "Put for 8th sub: -0.02\n",
      "Put for 9th sub: 0.24\n",
      "Put for 10th sub: 0.16\n",
      "dlPFC for 1th sub: 0.4\n",
      "dlPFC for 2th sub: 0.07\n",
      "dlPFC for 3th sub: 0.63\n",
      "dlPFC for 4th sub: 0.16\n",
      "dlPFC for 5th sub: 0.4\n",
      "dlPFC for 6th sub: 0.21\n",
      "dlPFC for 7th sub: 0.25\n",
      "dlPFC for 8th sub: 0.36\n",
      "dlPFC for 9th sub: 0.13\n",
      "dlPFC for 10th sub: -0.01\n",
      "\n",
      "***Average across test subjects Correlation Coefficient between 8 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "INS: 0.2\n",
      "PCC: 0.11\n",
      "Cau: 0.12\n",
      "mCC: 0.01\n",
      "mOFC: 0.43\n",
      "l_OFC: 0.27\n",
      "vlPFC: 0.25\n",
      "dmPFC: 0.22\n",
      "VC: -0.06\n",
      "mPFC: 0.22\n",
      "pSTS: 0.19\n",
      "TP: 0.26\n",
      "IPL: 0.12\n",
      "Nac: 0.12\n",
      "ACC: 0.18\n",
      "PreCG: 0.11\n",
      "AMY: 0.2\n",
      "Put: 0.16\n",
      "dlPFC: 0.26\n",
      "***Each Test Subject's Correlation Coefficient between 9 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "INS for 1th sub: 0.02\n",
      "INS for 2th sub: 0.28\n",
      "INS for 3th sub: 0.04\n",
      "INS for 4th sub: 0.15\n",
      "INS for 5th sub: 0.08\n",
      "INS for 6th sub: 0.07\n",
      "INS for 7th sub: 0.22\n",
      "INS for 8th sub: 0.71\n",
      "INS for 9th sub: 0.24\n",
      "INS for 10th sub: 0.17\n",
      "PCC for 1th sub: 0.44\n",
      "PCC for 2th sub: -0.05\n",
      "PCC for 3th sub: 0.44\n",
      "PCC for 4th sub: -0.21\n",
      "PCC for 5th sub: 0.01\n",
      "PCC for 6th sub: -0.02\n",
      "PCC for 7th sub: 0.13\n",
      "PCC for 8th sub: -0.16\n",
      "PCC for 9th sub: 0.3\n",
      "PCC for 10th sub: -0.09\n",
      "Cau for 1th sub: 0.1\n",
      "Cau for 2th sub: 0.15\n",
      "Cau for 3th sub: 0.03\n",
      "Cau for 4th sub: -0.22\n",
      "Cau for 5th sub: 0.09\n",
      "Cau for 6th sub: 0.55\n",
      "Cau for 7th sub: 0.21\n",
      "Cau for 8th sub: -0.1\n",
      "Cau for 9th sub: 0.12\n",
      "Cau for 10th sub: 0.22\n",
      "mCC for 1th sub: -0.07\n",
      "mCC for 2th sub: -0.07\n",
      "mCC for 3th sub: 0.17\n",
      "mCC for 4th sub: -0.18\n",
      "mCC for 5th sub: 0.01\n",
      "mCC for 6th sub: 0.06\n",
      "mCC for 7th sub: -0.04\n",
      "mCC for 8th sub: 0.15\n",
      "mCC for 9th sub: 0.09\n",
      "mCC for 10th sub: 0.03\n",
      "mOFC for 1th sub: 0.24\n",
      "mOFC for 2th sub: 0.46\n",
      "mOFC for 3th sub: 0.39\n",
      "mOFC for 4th sub: 0.32\n",
      "mOFC for 5th sub: 0.51\n",
      "mOFC for 6th sub: 0.31\n",
      "mOFC for 7th sub: 0.53\n",
      "mOFC for 8th sub: 0.77\n",
      "mOFC for 9th sub: 0.65\n",
      "mOFC for 10th sub: 0.16\n",
      "l_OFC for 1th sub: 0.07\n",
      "l_OFC for 2th sub: -0.05\n",
      "l_OFC for 3th sub: -0.04\n",
      "l_OFC for 4th sub: 0.3\n",
      "l_OFC for 5th sub: 0.51\n",
      "l_OFC for 6th sub: 0.09\n",
      "l_OFC for 7th sub: 0.14\n",
      "l_OFC for 8th sub: 0.8\n",
      "l_OFC for 9th sub: 0.62\n",
      "l_OFC for 10th sub: 0.18\n",
      "vlPFC for 1th sub: 0.26\n",
      "vlPFC for 2th sub: 0.23\n",
      "vlPFC for 3th sub: 0.28\n",
      "vlPFC for 4th sub: 0.33\n",
      "vlPFC for 5th sub: 0.05\n",
      "vlPFC for 6th sub: 0.37\n",
      "vlPFC for 7th sub: 0.13\n",
      "vlPFC for 8th sub: 0.19\n",
      "vlPFC for 9th sub: 0.15\n",
      "vlPFC for 10th sub: 0.51\n",
      "dmPFC for 1th sub: 0.35\n",
      "dmPFC for 2th sub: 0.02\n",
      "dmPFC for 3th sub: 0.29\n",
      "dmPFC for 4th sub: -0.03\n",
      "dmPFC for 5th sub: -0.11\n",
      "dmPFC for 6th sub: 0.14\n",
      "dmPFC for 7th sub: 0.41\n",
      "dmPFC for 8th sub: 0.6\n",
      "dmPFC for 9th sub: 0.61\n",
      "dmPFC for 10th sub: -0.06\n",
      "VC for 1th sub: 0.26\n",
      "VC for 2th sub: -0.41\n",
      "VC for 3th sub: 0.12\n",
      "VC for 4th sub: -0.07\n",
      "VC for 5th sub: -0.16\n",
      "VC for 6th sub: -0.0\n",
      "VC for 7th sub: 0.15\n",
      "VC for 8th sub: -0.11\n",
      "VC for 9th sub: 0.07\n",
      "VC for 10th sub: -0.3\n",
      "mPFC for 1th sub: 0.04\n",
      "mPFC for 2th sub: 0.26\n",
      "mPFC for 3th sub: 0.32\n",
      "mPFC for 4th sub: 0.05\n",
      "mPFC for 5th sub: 0.54\n",
      "mPFC for 6th sub: 0.19\n",
      "mPFC for 7th sub: 0.23\n",
      "mPFC for 8th sub: 0.03\n",
      "mPFC for 9th sub: 0.75\n",
      "mPFC for 10th sub: -0.06\n",
      "pSTS for 1th sub: 0.2\n",
      "pSTS for 2th sub: -0.02\n",
      "pSTS for 3th sub: 0.17\n",
      "pSTS for 4th sub: 0.32\n",
      "pSTS for 5th sub: 0.25\n",
      "pSTS for 6th sub: 0.2\n",
      "pSTS for 7th sub: 0.31\n",
      "pSTS for 8th sub: 0.43\n",
      "pSTS for 9th sub: -0.06\n",
      "pSTS for 10th sub: 0.26\n",
      "TP for 1th sub: 0.36\n",
      "TP for 2th sub: 0.61\n",
      "TP for 3th sub: 0.24\n",
      "TP for 4th sub: 0.58\n",
      "TP for 5th sub: -0.05\n",
      "TP for 6th sub: 0.17\n",
      "TP for 7th sub: 0.12\n",
      "TP for 8th sub: 0.59\n",
      "TP for 9th sub: -0.22\n",
      "TP for 10th sub: 0.07\n",
      "IPL for 1th sub: 0.21\n",
      "IPL for 2th sub: -0.11\n",
      "IPL for 3th sub: -0.06\n",
      "IPL for 4th sub: 0.29\n",
      "IPL for 5th sub: -0.07\n",
      "IPL for 6th sub: 0.45\n",
      "IPL for 7th sub: 0.02\n",
      "IPL for 8th sub: 0.1\n",
      "IPL for 9th sub: -0.02\n",
      "IPL for 10th sub: 0.06\n",
      "Nac for 1th sub: 0.09\n",
      "Nac for 2th sub: 0.06\n",
      "Nac for 3th sub: 0.01\n",
      "Nac for 4th sub: -0.26\n",
      "Nac for 5th sub: 0.09\n",
      "Nac for 6th sub: 0.71\n",
      "Nac for 7th sub: 0.38\n",
      "Nac for 8th sub: 0.1\n",
      "Nac for 9th sub: 0.02\n",
      "Nac for 10th sub: 0.15\n",
      "ACC for 1th sub: 0.14\n",
      "ACC for 2th sub: -0.01\n",
      "ACC for 3th sub: 0.28\n",
      "ACC for 4th sub: 0.15\n",
      "ACC for 5th sub: 0.35\n",
      "ACC for 6th sub: 0.16\n",
      "ACC for 7th sub: 0.02\n",
      "ACC for 8th sub: 0.15\n",
      "ACC for 9th sub: 0.32\n",
      "ACC for 10th sub: 0.0\n",
      "PreCG for 1th sub: 0.47\n",
      "PreCG for 2th sub: -0.02\n",
      "PreCG for 3th sub: -0.06\n",
      "PreCG for 4th sub: 0.06\n",
      "PreCG for 5th sub: -0.17\n",
      "PreCG for 6th sub: -0.15\n",
      "PreCG for 7th sub: 0.53\n",
      "PreCG for 8th sub: 0.14\n",
      "PreCG for 9th sub: 0.06\n",
      "PreCG for 10th sub: -0.12\n",
      "AMY for 1th sub: 0.01\n",
      "AMY for 2th sub: -0.03\n",
      "AMY for 3th sub: 0.64\n",
      "AMY for 4th sub: 0.49\n",
      "AMY for 5th sub: 0.11\n",
      "AMY for 6th sub: 0.05\n",
      "AMY for 7th sub: -0.07\n",
      "AMY for 8th sub: 0.28\n",
      "AMY for 9th sub: 0.21\n",
      "AMY for 10th sub: 0.08\n",
      "Put for 1th sub: 0.19\n",
      "Put for 2th sub: 0.12\n",
      "Put for 3th sub: 0.07\n",
      "Put for 4th sub: 0.09\n",
      "Put for 5th sub: 0.13\n",
      "Put for 6th sub: 0.38\n",
      "Put for 7th sub: 0.29\n",
      "Put for 8th sub: -0.11\n",
      "Put for 9th sub: 0.19\n",
      "Put for 10th sub: 0.17\n",
      "dlPFC for 1th sub: 0.35\n",
      "dlPFC for 2th sub: 0.03\n",
      "dlPFC for 3th sub: 0.6\n",
      "dlPFC for 4th sub: 0.19\n",
      "dlPFC for 5th sub: 0.35\n",
      "dlPFC for 6th sub: 0.12\n",
      "dlPFC for 7th sub: 0.17\n",
      "dlPFC for 8th sub: 0.23\n",
      "dlPFC for 9th sub: 0.13\n",
      "dlPFC for 10th sub: -0.03\n",
      "\n",
      "***Average across test subjects Correlation Coefficient between 9 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "INS: 0.2\n",
      "PCC: 0.08\n",
      "Cau: 0.12\n",
      "mCC: 0.01\n",
      "mOFC: 0.43\n",
      "l_OFC: 0.26\n",
      "vlPFC: 0.25\n",
      "dmPFC: 0.22\n",
      "VC: -0.05\n",
      "mPFC: 0.23\n",
      "pSTS: 0.21\n",
      "TP: 0.25\n",
      "IPL: 0.09\n",
      "Nac: 0.14\n",
      "ACC: 0.16\n",
      "PreCG: 0.07\n",
      "AMY: 0.18\n",
      "Put: 0.15\n",
      "dlPFC: 0.21\n",
      "***Each Test Subject's Correlation Coefficient between 10 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "INS for 1th sub: 0.06\n",
      "INS for 2th sub: 0.34\n",
      "INS for 3th sub: 0.02\n",
      "INS for 4th sub: 0.13\n",
      "INS for 5th sub: 0.02\n",
      "INS for 6th sub: 0.09\n",
      "INS for 7th sub: 0.25\n",
      "INS for 8th sub: 0.73\n",
      "INS for 9th sub: 0.29\n",
      "INS for 10th sub: 0.21\n",
      "PCC for 1th sub: 0.47\n",
      "PCC for 2th sub: -0.06\n",
      "PCC for 3th sub: 0.48\n",
      "PCC for 4th sub: -0.24\n",
      "PCC for 5th sub: -0.07\n",
      "PCC for 6th sub: -0.01\n",
      "PCC for 7th sub: 0.15\n",
      "PCC for 8th sub: -0.2\n",
      "PCC for 9th sub: 0.21\n",
      "PCC for 10th sub: -0.09\n",
      "Cau for 1th sub: 0.03\n",
      "Cau for 2th sub: 0.17\n",
      "Cau for 3th sub: -0.02\n",
      "Cau for 4th sub: -0.17\n",
      "Cau for 5th sub: -0.01\n",
      "Cau for 6th sub: 0.51\n",
      "Cau for 7th sub: 0.18\n",
      "Cau for 8th sub: -0.1\n",
      "Cau for 9th sub: -0.01\n",
      "Cau for 10th sub: 0.16\n",
      "mCC for 1th sub: 0.0\n",
      "mCC for 2th sub: 0.0\n",
      "mCC for 3th sub: 0.06\n",
      "mCC for 4th sub: -0.23\n",
      "mCC for 5th sub: -0.02\n",
      "mCC for 6th sub: 0.14\n",
      "mCC for 7th sub: 0.0\n",
      "mCC for 8th sub: 0.08\n",
      "mCC for 9th sub: 0.1\n",
      "mCC for 10th sub: 0.13\n",
      "mOFC for 1th sub: 0.13\n",
      "mOFC for 2th sub: 0.43\n",
      "mOFC for 3th sub: 0.35\n",
      "mOFC for 4th sub: 0.27\n",
      "mOFC for 5th sub: 0.48\n",
      "mOFC for 6th sub: 0.29\n",
      "mOFC for 7th sub: 0.5\n",
      "mOFC for 8th sub: 0.79\n",
      "mOFC for 9th sub: 0.63\n",
      "mOFC for 10th sub: 0.16\n",
      "l_OFC for 1th sub: 0.05\n",
      "l_OFC for 2th sub: -0.08\n",
      "l_OFC for 3th sub: 0.06\n",
      "l_OFC for 4th sub: 0.27\n",
      "l_OFC for 5th sub: 0.43\n",
      "l_OFC for 6th sub: -0.02\n",
      "l_OFC for 7th sub: 0.18\n",
      "l_OFC for 8th sub: 0.8\n",
      "l_OFC for 9th sub: 0.61\n",
      "l_OFC for 10th sub: 0.23\n",
      "vlPFC for 1th sub: 0.24\n",
      "vlPFC for 2th sub: 0.26\n",
      "vlPFC for 3th sub: 0.31\n",
      "vlPFC for 4th sub: 0.32\n",
      "vlPFC for 5th sub: 0.0\n",
      "vlPFC for 6th sub: 0.38\n",
      "vlPFC for 7th sub: 0.17\n",
      "vlPFC for 8th sub: 0.17\n",
      "vlPFC for 9th sub: 0.11\n",
      "vlPFC for 10th sub: 0.5\n",
      "dmPFC for 1th sub: 0.25\n",
      "dmPFC for 2th sub: -0.05\n",
      "dmPFC for 3th sub: 0.19\n",
      "dmPFC for 4th sub: -0.15\n",
      "dmPFC for 5th sub: -0.15\n",
      "dmPFC for 6th sub: 0.14\n",
      "dmPFC for 7th sub: 0.38\n",
      "dmPFC for 8th sub: 0.55\n",
      "dmPFC for 9th sub: 0.57\n",
      "dmPFC for 10th sub: -0.18\n",
      "VC for 1th sub: 0.27\n",
      "VC for 2th sub: -0.33\n",
      "VC for 3th sub: 0.1\n",
      "VC for 4th sub: -0.08\n",
      "VC for 5th sub: -0.09\n",
      "VC for 6th sub: 0.06\n",
      "VC for 7th sub: 0.13\n",
      "VC for 8th sub: -0.1\n",
      "VC for 9th sub: 0.08\n",
      "VC for 10th sub: -0.26\n",
      "mPFC for 1th sub: 0.04\n",
      "mPFC for 2th sub: 0.18\n",
      "mPFC for 3th sub: 0.32\n",
      "mPFC for 4th sub: 0.0\n",
      "mPFC for 5th sub: 0.46\n",
      "mPFC for 6th sub: 0.21\n",
      "mPFC for 7th sub: 0.16\n",
      "mPFC for 8th sub: -0.05\n",
      "mPFC for 9th sub: 0.72\n",
      "mPFC for 10th sub: 0.02\n",
      "pSTS for 1th sub: 0.23\n",
      "pSTS for 2th sub: 0.11\n",
      "pSTS for 3th sub: 0.21\n",
      "pSTS for 4th sub: 0.33\n",
      "pSTS for 5th sub: 0.24\n",
      "pSTS for 6th sub: 0.11\n",
      "pSTS for 7th sub: 0.31\n",
      "pSTS for 8th sub: 0.48\n",
      "pSTS for 9th sub: -0.07\n",
      "pSTS for 10th sub: 0.35\n",
      "TP for 1th sub: 0.36\n",
      "TP for 2th sub: 0.63\n",
      "TP for 3th sub: 0.21\n",
      "TP for 4th sub: 0.56\n",
      "TP for 5th sub: 0.05\n",
      "TP for 6th sub: 0.19\n",
      "TP for 7th sub: 0.05\n",
      "TP for 8th sub: 0.52\n",
      "TP for 9th sub: -0.13\n",
      "TP for 10th sub: 0.01\n",
      "IPL for 1th sub: 0.2\n",
      "IPL for 2th sub: 0.04\n",
      "IPL for 3th sub: -0.1\n",
      "IPL for 4th sub: 0.26\n",
      "IPL for 5th sub: -0.16\n",
      "IPL for 6th sub: 0.59\n",
      "IPL for 7th sub: -0.03\n",
      "IPL for 8th sub: 0.09\n",
      "IPL for 9th sub: 0.01\n",
      "IPL for 10th sub: -0.0\n",
      "Nac for 1th sub: -0.01\n",
      "Nac for 2th sub: 0.09\n",
      "Nac for 3th sub: -0.02\n",
      "Nac for 4th sub: -0.28\n",
      "Nac for 5th sub: -0.05\n",
      "Nac for 6th sub: 0.67\n",
      "Nac for 7th sub: 0.35\n",
      "Nac for 8th sub: 0.06\n",
      "Nac for 9th sub: -0.04\n",
      "Nac for 10th sub: 0.11\n",
      "ACC for 1th sub: 0.09\n",
      "ACC for 2th sub: -0.02\n",
      "ACC for 3th sub: 0.24\n",
      "ACC for 4th sub: 0.07\n",
      "ACC for 5th sub: 0.33\n",
      "ACC for 6th sub: 0.14\n",
      "ACC for 7th sub: -0.02\n",
      "ACC for 8th sub: 0.12\n",
      "ACC for 9th sub: 0.32\n",
      "ACC for 10th sub: 0.01\n",
      "PreCG for 1th sub: 0.45\n",
      "PreCG for 2th sub: 0.0\n",
      "PreCG for 3th sub: -0.07\n",
      "PreCG for 4th sub: -0.02\n",
      "PreCG for 5th sub: -0.2\n",
      "PreCG for 6th sub: 0.2\n",
      "PreCG for 7th sub: 0.47\n",
      "PreCG for 8th sub: 0.16\n",
      "PreCG for 9th sub: 0.05\n",
      "PreCG for 10th sub: -0.14\n",
      "AMY for 1th sub: -0.04\n",
      "AMY for 2th sub: -0.06\n",
      "AMY for 3th sub: 0.65\n",
      "AMY for 4th sub: 0.46\n",
      "AMY for 5th sub: 0.06\n",
      "AMY for 6th sub: 0.14\n",
      "AMY for 7th sub: -0.1\n",
      "AMY for 8th sub: 0.21\n",
      "AMY for 9th sub: 0.22\n",
      "AMY for 10th sub: 0.09\n",
      "Put for 1th sub: 0.14\n",
      "Put for 2th sub: 0.1\n",
      "Put for 3th sub: 0.0\n",
      "Put for 4th sub: 0.13\n",
      "Put for 5th sub: 0.13\n",
      "Put for 6th sub: 0.36\n",
      "Put for 7th sub: 0.29\n",
      "Put for 8th sub: -0.03\n",
      "Put for 9th sub: 0.22\n",
      "Put for 10th sub: 0.1\n",
      "dlPFC for 1th sub: 0.25\n",
      "dlPFC for 2th sub: 0.13\n",
      "dlPFC for 3th sub: 0.59\n",
      "dlPFC for 4th sub: 0.16\n",
      "dlPFC for 5th sub: 0.29\n",
      "dlPFC for 6th sub: 0.28\n",
      "dlPFC for 7th sub: 0.18\n",
      "dlPFC for 8th sub: 0.22\n",
      "dlPFC for 9th sub: 0.13\n",
      "dlPFC for 10th sub: 0.07\n",
      "\n",
      "***Average across test subjects Correlation Coefficient between 10 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "INS: 0.21\n",
      "PCC: 0.06\n",
      "Cau: 0.07\n",
      "mCC: 0.03\n",
      "mOFC: 0.4\n",
      "l_OFC: 0.25\n",
      "vlPFC: 0.25\n",
      "dmPFC: 0.16\n",
      "VC: -0.02\n",
      "mPFC: 0.21\n",
      "pSTS: 0.23\n",
      "TP: 0.25\n",
      "IPL: 0.09\n",
      "Nac: 0.09\n",
      "ACC: 0.13\n",
      "PreCG: 0.09\n",
      "AMY: 0.16\n",
      "Put: 0.14\n",
      "dlPFC: 0.23\n",
      "***Each Test Subject's Correlation Coefficient between 11 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "INS for 1th sub: 0.06\n",
      "INS for 2th sub: 0.32\n",
      "INS for 3th sub: 0.05\n",
      "INS for 4th sub: 0.12\n",
      "INS for 5th sub: 0.06\n",
      "INS for 6th sub: 0.07\n",
      "INS for 7th sub: 0.22\n",
      "INS for 8th sub: 0.7\n",
      "INS for 9th sub: 0.2\n",
      "INS for 10th sub: 0.05\n",
      "PCC for 1th sub: 0.44\n",
      "PCC for 2th sub: -0.05\n",
      "PCC for 3th sub: 0.45\n",
      "PCC for 4th sub: -0.2\n",
      "PCC for 5th sub: -0.09\n",
      "PCC for 6th sub: -0.01\n",
      "PCC for 7th sub: 0.12\n",
      "PCC for 8th sub: -0.34\n",
      "PCC for 9th sub: 0.12\n",
      "PCC for 10th sub: -0.16\n",
      "Cau for 1th sub: 0.04\n",
      "Cau for 2th sub: 0.14\n",
      "Cau for 3th sub: 0.09\n",
      "Cau for 4th sub: -0.19\n",
      "Cau for 5th sub: -0.03\n",
      "Cau for 6th sub: 0.41\n",
      "Cau for 7th sub: 0.21\n",
      "Cau for 8th sub: -0.01\n",
      "Cau for 9th sub: 0.0\n",
      "Cau for 10th sub: -0.0\n",
      "mCC for 1th sub: -0.03\n",
      "mCC for 2th sub: -0.08\n",
      "mCC for 3th sub: 0.06\n",
      "mCC for 4th sub: -0.2\n",
      "mCC for 5th sub: -0.03\n",
      "mCC for 6th sub: 0.05\n",
      "mCC for 7th sub: -0.06\n",
      "mCC for 8th sub: 0.07\n",
      "mCC for 9th sub: -0.04\n",
      "mCC for 10th sub: -0.07\n",
      "mOFC for 1th sub: 0.14\n",
      "mOFC for 2th sub: 0.46\n",
      "mOFC for 3th sub: 0.33\n",
      "mOFC for 4th sub: 0.27\n",
      "mOFC for 5th sub: 0.49\n",
      "mOFC for 6th sub: 0.28\n",
      "mOFC for 7th sub: 0.47\n",
      "mOFC for 8th sub: 0.79\n",
      "mOFC for 9th sub: 0.62\n",
      "mOFC for 10th sub: 0.15\n",
      "l_OFC for 1th sub: 0.09\n",
      "l_OFC for 2th sub: -0.02\n",
      "l_OFC for 3th sub: 0.05\n",
      "l_OFC for 4th sub: 0.32\n",
      "l_OFC for 5th sub: 0.41\n",
      "l_OFC for 6th sub: 0.04\n",
      "l_OFC for 7th sub: 0.25\n",
      "l_OFC for 8th sub: 0.76\n",
      "l_OFC for 9th sub: 0.6\n",
      "l_OFC for 10th sub: 0.17\n",
      "vlPFC for 1th sub: 0.2\n",
      "vlPFC for 2th sub: 0.3\n",
      "vlPFC for 3th sub: 0.23\n",
      "vlPFC for 4th sub: 0.3\n",
      "vlPFC for 5th sub: 0.02\n",
      "vlPFC for 6th sub: 0.37\n",
      "vlPFC for 7th sub: 0.06\n",
      "vlPFC for 8th sub: 0.17\n",
      "vlPFC for 9th sub: 0.09\n",
      "vlPFC for 10th sub: 0.46\n",
      "dmPFC for 1th sub: 0.28\n",
      "dmPFC for 2th sub: 0.06\n",
      "dmPFC for 3th sub: 0.25\n",
      "dmPFC for 4th sub: -0.2\n",
      "dmPFC for 5th sub: -0.13\n",
      "dmPFC for 6th sub: 0.2\n",
      "dmPFC for 7th sub: 0.33\n",
      "dmPFC for 8th sub: 0.53\n",
      "dmPFC for 9th sub: 0.58\n",
      "dmPFC for 10th sub: -0.21\n",
      "VC for 1th sub: 0.25\n",
      "VC for 2th sub: -0.19\n",
      "VC for 3th sub: 0.07\n",
      "VC for 4th sub: -0.1\n",
      "VC for 5th sub: -0.01\n",
      "VC for 6th sub: 0.12\n",
      "VC for 7th sub: 0.14\n",
      "VC for 8th sub: -0.06\n",
      "VC for 9th sub: 0.01\n",
      "VC for 10th sub: -0.21\n",
      "mPFC for 1th sub: 0.03\n",
      "mPFC for 2th sub: 0.16\n",
      "mPFC for 3th sub: 0.27\n",
      "mPFC for 4th sub: -0.12\n",
      "mPFC for 5th sub: 0.43\n",
      "mPFC for 6th sub: 0.2\n",
      "mPFC for 7th sub: 0.26\n",
      "mPFC for 8th sub: -0.02\n",
      "mPFC for 9th sub: 0.71\n",
      "mPFC for 10th sub: -0.02\n",
      "pSTS for 1th sub: 0.21\n",
      "pSTS for 2th sub: 0.18\n",
      "pSTS for 3th sub: 0.16\n",
      "pSTS for 4th sub: 0.31\n",
      "pSTS for 5th sub: 0.25\n",
      "pSTS for 6th sub: 0.17\n",
      "pSTS for 7th sub: 0.28\n",
      "pSTS for 8th sub: 0.41\n",
      "pSTS for 9th sub: -0.04\n",
      "pSTS for 10th sub: 0.3\n",
      "TP for 1th sub: 0.3\n",
      "TP for 2th sub: 0.63\n",
      "TP for 3th sub: 0.26\n",
      "TP for 4th sub: 0.5\n",
      "TP for 5th sub: 0.08\n",
      "TP for 6th sub: 0.23\n",
      "TP for 7th sub: 0.05\n",
      "TP for 8th sub: 0.63\n",
      "TP for 9th sub: -0.05\n",
      "TP for 10th sub: 0.01\n",
      "IPL for 1th sub: 0.21\n",
      "IPL for 2th sub: 0.1\n",
      "IPL for 3th sub: -0.17\n",
      "IPL for 4th sub: 0.23\n",
      "IPL for 5th sub: -0.28\n",
      "IPL for 6th sub: 0.56\n",
      "IPL for 7th sub: -0.05\n",
      "IPL for 8th sub: 0.03\n",
      "IPL for 9th sub: -0.07\n",
      "IPL for 10th sub: -0.06\n",
      "Nac for 1th sub: 0.05\n",
      "Nac for 2th sub: 0.09\n",
      "Nac for 3th sub: 0.1\n",
      "Nac for 4th sub: -0.29\n",
      "Nac for 5th sub: -0.09\n",
      "Nac for 6th sub: 0.59\n",
      "Nac for 7th sub: 0.39\n",
      "Nac for 8th sub: 0.19\n",
      "Nac for 9th sub: -0.09\n",
      "Nac for 10th sub: -0.05\n",
      "ACC for 1th sub: 0.11\n",
      "ACC for 2th sub: -0.03\n",
      "ACC for 3th sub: 0.29\n",
      "ACC for 4th sub: -0.07\n",
      "ACC for 5th sub: 0.34\n",
      "ACC for 6th sub: 0.07\n",
      "ACC for 7th sub: -0.05\n",
      "ACC for 8th sub: 0.11\n",
      "ACC for 9th sub: 0.26\n",
      "ACC for 10th sub: -0.06\n",
      "PreCG for 1th sub: 0.41\n",
      "PreCG for 2th sub: 0.01\n",
      "PreCG for 3th sub: -0.11\n",
      "PreCG for 4th sub: -0.08\n",
      "PreCG for 5th sub: -0.24\n",
      "PreCG for 6th sub: 0.14\n",
      "PreCG for 7th sub: 0.44\n",
      "PreCG for 8th sub: 0.1\n",
      "PreCG for 9th sub: 0.03\n",
      "PreCG for 10th sub: -0.16\n",
      "AMY for 1th sub: -0.03\n",
      "AMY for 2th sub: -0.04\n",
      "AMY for 3th sub: 0.67\n",
      "AMY for 4th sub: 0.44\n",
      "AMY for 5th sub: -0.02\n",
      "AMY for 6th sub: 0.08\n",
      "AMY for 7th sub: -0.07\n",
      "AMY for 8th sub: 0.28\n",
      "AMY for 9th sub: 0.18\n",
      "AMY for 10th sub: 0.12\n",
      "Put for 1th sub: 0.26\n",
      "Put for 2th sub: 0.02\n",
      "Put for 3th sub: 0.04\n",
      "Put for 4th sub: 0.09\n",
      "Put for 5th sub: 0.04\n",
      "Put for 6th sub: 0.27\n",
      "Put for 7th sub: 0.32\n",
      "Put for 8th sub: -0.04\n",
      "Put for 9th sub: 0.21\n",
      "Put for 10th sub: 0.02\n",
      "dlPFC for 1th sub: 0.24\n",
      "dlPFC for 2th sub: 0.14\n",
      "dlPFC for 3th sub: 0.53\n",
      "dlPFC for 4th sub: 0.18\n",
      "dlPFC for 5th sub: 0.29\n",
      "dlPFC for 6th sub: 0.28\n",
      "dlPFC for 7th sub: 0.09\n",
      "dlPFC for 8th sub: 0.12\n",
      "dlPFC for 9th sub: 0.09\n",
      "dlPFC for 10th sub: -0.15\n",
      "\n",
      "***Average across test subjects Correlation Coefficient between 11 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "INS: 0.18\n",
      "PCC: 0.03\n",
      "Cau: 0.07\n",
      "mCC: -0.03\n",
      "mOFC: 0.4\n",
      "l_OFC: 0.27\n",
      "vlPFC: 0.22\n",
      "dmPFC: 0.17\n",
      "VC: 0.0\n",
      "mPFC: 0.19\n",
      "pSTS: 0.22\n",
      "TP: 0.26\n",
      "IPL: 0.05\n",
      "Nac: 0.09\n",
      "ACC: 0.1\n",
      "PreCG: 0.05\n",
      "AMY: 0.16\n",
      "Put: 0.12\n",
      "dlPFC: 0.18\n",
      "***Each Test Subject's Correlation Coefficient between 12 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "INS for 1th sub: 0.12\n",
      "INS for 2th sub: 0.35\n",
      "INS for 3th sub: -0.06\n",
      "INS for 4th sub: 0.05\n",
      "INS for 5th sub: 0.01\n",
      "INS for 6th sub: 0.07\n",
      "INS for 7th sub: 0.22\n",
      "INS for 8th sub: 0.7\n",
      "INS for 9th sub: 0.23\n",
      "INS for 10th sub: 0.14\n",
      "PCC for 1th sub: 0.47\n",
      "PCC for 2th sub: -0.07\n",
      "PCC for 3th sub: 0.46\n",
      "PCC for 4th sub: 0.05\n",
      "PCC for 5th sub: 0.01\n",
      "PCC for 6th sub: 0.01\n",
      "PCC for 7th sub: 0.08\n",
      "PCC for 8th sub: -0.42\n",
      "PCC for 9th sub: 0.22\n",
      "PCC for 10th sub: 0.02\n",
      "Cau for 1th sub: 0.17\n",
      "Cau for 2th sub: 0.14\n",
      "Cau for 3th sub: -0.01\n",
      "Cau for 4th sub: -0.12\n",
      "Cau for 5th sub: 0.04\n",
      "Cau for 6th sub: 0.43\n",
      "Cau for 7th sub: 0.2\n",
      "Cau for 8th sub: -0.12\n",
      "Cau for 9th sub: -0.15\n",
      "Cau for 10th sub: 0.19\n",
      "mCC for 1th sub: 0.11\n",
      "mCC for 2th sub: -0.06\n",
      "mCC for 3th sub: 0.06\n",
      "mCC for 4th sub: 0.12\n",
      "mCC for 5th sub: -0.0\n",
      "mCC for 6th sub: 0.06\n",
      "mCC for 7th sub: -0.1\n",
      "mCC for 8th sub: 0.08\n",
      "mCC for 9th sub: 0.05\n",
      "mCC for 10th sub: 0.09\n",
      "mOFC for 1th sub: 0.08\n",
      "mOFC for 2th sub: 0.48\n",
      "mOFC for 3th sub: 0.35\n",
      "mOFC for 4th sub: 0.28\n",
      "mOFC for 5th sub: 0.47\n",
      "mOFC for 6th sub: 0.29\n",
      "mOFC for 7th sub: 0.51\n",
      "mOFC for 8th sub: 0.78\n",
      "mOFC for 9th sub: 0.58\n",
      "mOFC for 10th sub: 0.24\n",
      "l_OFC for 1th sub: 0.02\n",
      "l_OFC for 2th sub: -0.02\n",
      "l_OFC for 3th sub: 0.07\n",
      "l_OFC for 4th sub: 0.27\n",
      "l_OFC for 5th sub: 0.45\n",
      "l_OFC for 6th sub: -0.06\n",
      "l_OFC for 7th sub: 0.17\n",
      "l_OFC for 8th sub: 0.76\n",
      "l_OFC for 9th sub: 0.55\n",
      "l_OFC for 10th sub: 0.23\n",
      "vlPFC for 1th sub: 0.28\n",
      "vlPFC for 2th sub: 0.38\n",
      "vlPFC for 3th sub: 0.27\n",
      "vlPFC for 4th sub: 0.21\n",
      "vlPFC for 5th sub: -0.07\n",
      "vlPFC for 6th sub: 0.37\n",
      "vlPFC for 7th sub: 0.12\n",
      "vlPFC for 8th sub: 0.2\n",
      "vlPFC for 9th sub: 0.15\n",
      "vlPFC for 10th sub: 0.52\n",
      "dmPFC for 1th sub: 0.29\n",
      "dmPFC for 2th sub: 0.06\n",
      "dmPFC for 3th sub: 0.23\n",
      "dmPFC for 4th sub: 0.06\n",
      "dmPFC for 5th sub: -0.19\n",
      "dmPFC for 6th sub: 0.16\n",
      "dmPFC for 7th sub: 0.31\n",
      "dmPFC for 8th sub: 0.56\n",
      "dmPFC for 9th sub: 0.6\n",
      "dmPFC for 10th sub: 0.04\n",
      "VC for 1th sub: 0.27\n",
      "VC for 2th sub: 0.01\n",
      "VC for 3th sub: 0.04\n",
      "VC for 4th sub: 0.03\n",
      "VC for 5th sub: -0.08\n",
      "VC for 6th sub: 0.18\n",
      "VC for 7th sub: 0.13\n",
      "VC for 8th sub: -0.13\n",
      "VC for 9th sub: -0.01\n",
      "VC for 10th sub: -0.22\n",
      "mPFC for 1th sub: 0.05\n",
      "mPFC for 2th sub: 0.23\n",
      "mPFC for 3th sub: 0.33\n",
      "mPFC for 4th sub: -0.04\n",
      "mPFC for 5th sub: 0.47\n",
      "mPFC for 6th sub: 0.17\n",
      "mPFC for 7th sub: 0.19\n",
      "mPFC for 8th sub: -0.03\n",
      "mPFC for 9th sub: 0.72\n",
      "mPFC for 10th sub: -0.0\n",
      "pSTS for 1th sub: 0.15\n",
      "pSTS for 2th sub: 0.15\n",
      "pSTS for 3th sub: 0.05\n",
      "pSTS for 4th sub: 0.35\n",
      "pSTS for 5th sub: 0.18\n",
      "pSTS for 6th sub: 0.16\n",
      "pSTS for 7th sub: 0.26\n",
      "pSTS for 8th sub: 0.34\n",
      "pSTS for 9th sub: -0.1\n",
      "pSTS for 10th sub: 0.24\n",
      "TP for 1th sub: 0.33\n",
      "TP for 2th sub: 0.65\n",
      "TP for 3th sub: 0.23\n",
      "TP for 4th sub: 0.54\n",
      "TP for 5th sub: -0.02\n",
      "TP for 6th sub: 0.17\n",
      "TP for 7th sub: 0.15\n",
      "TP for 8th sub: 0.6\n",
      "TP for 9th sub: -0.09\n",
      "TP for 10th sub: 0.08\n",
      "IPL for 1th sub: 0.28\n",
      "IPL for 2th sub: 0.19\n",
      "IPL for 3th sub: -0.08\n",
      "IPL for 4th sub: 0.37\n",
      "IPL for 5th sub: -0.32\n",
      "IPL for 6th sub: 0.57\n",
      "IPL for 7th sub: -0.13\n",
      "IPL for 8th sub: -0.03\n",
      "IPL for 9th sub: -0.12\n",
      "IPL for 10th sub: -0.04\n",
      "Nac for 1th sub: 0.14\n",
      "Nac for 2th sub: 0.04\n",
      "Nac for 3th sub: 0.03\n",
      "Nac for 4th sub: -0.26\n",
      "Nac for 5th sub: -0.01\n",
      "Nac for 6th sub: 0.57\n",
      "Nac for 7th sub: 0.4\n",
      "Nac for 8th sub: 0.05\n",
      "Nac for 9th sub: -0.21\n",
      "Nac for 10th sub: 0.17\n",
      "ACC for 1th sub: 0.19\n",
      "ACC for 2th sub: 0.05\n",
      "ACC for 3th sub: 0.21\n",
      "ACC for 4th sub: 0.16\n",
      "ACC for 5th sub: 0.31\n",
      "ACC for 6th sub: 0.13\n",
      "ACC for 7th sub: -0.05\n",
      "ACC for 8th sub: 0.08\n",
      "ACC for 9th sub: 0.21\n",
      "ACC for 10th sub: -0.07\n",
      "PreCG for 1th sub: 0.4\n",
      "PreCG for 2th sub: 0.04\n",
      "PreCG for 3th sub: -0.05\n",
      "PreCG for 4th sub: 0.12\n",
      "PreCG for 5th sub: -0.22\n",
      "PreCG for 6th sub: 0.1\n",
      "PreCG for 7th sub: 0.36\n",
      "PreCG for 8th sub: 0.06\n",
      "PreCG for 9th sub: 0.06\n",
      "PreCG for 10th sub: -0.16\n",
      "AMY for 1th sub: -0.04\n",
      "AMY for 2th sub: -0.03\n",
      "AMY for 3th sub: 0.68\n",
      "AMY for 4th sub: 0.42\n",
      "AMY for 5th sub: -0.02\n",
      "AMY for 6th sub: 0.14\n",
      "AMY for 7th sub: -0.07\n",
      "AMY for 8th sub: 0.25\n",
      "AMY for 9th sub: 0.13\n",
      "AMY for 10th sub: 0.14\n",
      "Put for 1th sub: 0.19\n",
      "Put for 2th sub: -0.02\n",
      "Put for 3th sub: -0.12\n",
      "Put for 4th sub: 0.12\n",
      "Put for 5th sub: 0.05\n",
      "Put for 6th sub: 0.25\n",
      "Put for 7th sub: 0.3\n",
      "Put for 8th sub: -0.1\n",
      "Put for 9th sub: 0.17\n",
      "Put for 10th sub: 0.19\n",
      "dlPFC for 1th sub: 0.28\n",
      "dlPFC for 2th sub: 0.19\n",
      "dlPFC for 3th sub: 0.57\n",
      "dlPFC for 4th sub: -0.03\n",
      "dlPFC for 5th sub: 0.29\n",
      "dlPFC for 6th sub: 0.21\n",
      "dlPFC for 7th sub: 0.17\n",
      "dlPFC for 8th sub: 0.11\n",
      "dlPFC for 9th sub: 0.07\n",
      "dlPFC for 10th sub: -0.13\n",
      "\n",
      "***Average across test subjects Correlation Coefficient between 12 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "INS: 0.18\n",
      "PCC: 0.08\n",
      "Cau: 0.08\n",
      "mCC: 0.04\n",
      "mOFC: 0.41\n",
      "l_OFC: 0.25\n",
      "vlPFC: 0.24\n",
      "dmPFC: 0.21\n",
      "VC: 0.02\n",
      "mPFC: 0.21\n",
      "pSTS: 0.18\n",
      "TP: 0.26\n",
      "IPL: 0.07\n",
      "Nac: 0.09\n",
      "ACC: 0.12\n",
      "PreCG: 0.07\n",
      "AMY: 0.16\n",
      "Put: 0.1\n",
      "dlPFC: 0.17\n",
      "***Each Test Subject's Correlation Coefficient between 13 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "INS for 1th sub: 0.12\n",
      "INS for 2th sub: 0.38\n",
      "INS for 3th sub: 0.02\n",
      "INS for 4th sub: 0.0\n",
      "INS for 5th sub: 0.04\n",
      "INS for 6th sub: 0.16\n",
      "INS for 7th sub: 0.18\n",
      "INS for 8th sub: 0.67\n",
      "INS for 9th sub: 0.21\n",
      "INS for 10th sub: 0.11\n",
      "PCC for 1th sub: 0.53\n",
      "PCC for 2th sub: -0.03\n",
      "PCC for 3th sub: 0.52\n",
      "PCC for 4th sub: 0.11\n",
      "PCC for 5th sub: 0.05\n",
      "PCC for 6th sub: 0.09\n",
      "PCC for 7th sub: 0.09\n",
      "PCC for 8th sub: -0.28\n",
      "PCC for 9th sub: 0.27\n",
      "PCC for 10th sub: -0.01\n",
      "Cau for 1th sub: 0.07\n",
      "Cau for 2th sub: 0.08\n",
      "Cau for 3th sub: 0.05\n",
      "Cau for 4th sub: -0.05\n",
      "Cau for 5th sub: 0.06\n",
      "Cau for 6th sub: 0.44\n",
      "Cau for 7th sub: 0.18\n",
      "Cau for 8th sub: -0.12\n",
      "Cau for 9th sub: 0.05\n",
      "Cau for 10th sub: 0.14\n",
      "mCC for 1th sub: 0.11\n",
      "mCC for 2th sub: -0.13\n",
      "mCC for 3th sub: 0.01\n",
      "mCC for 4th sub: 0.21\n",
      "mCC for 5th sub: -0.05\n",
      "mCC for 6th sub: 0.15\n",
      "mCC for 7th sub: -0.05\n",
      "mCC for 8th sub: 0.07\n",
      "mCC for 9th sub: -0.0\n",
      "mCC for 10th sub: 0.02\n",
      "mOFC for 1th sub: 0.11\n",
      "mOFC for 2th sub: 0.43\n",
      "mOFC for 3th sub: 0.31\n",
      "mOFC for 4th sub: 0.2\n",
      "mOFC for 5th sub: 0.41\n",
      "mOFC for 6th sub: 0.25\n",
      "mOFC for 7th sub: 0.47\n",
      "mOFC for 8th sub: 0.78\n",
      "mOFC for 9th sub: 0.53\n",
      "mOFC for 10th sub: 0.26\n",
      "l_OFC for 1th sub: 0.04\n",
      "l_OFC for 2th sub: -0.1\n",
      "l_OFC for 3th sub: 0.06\n",
      "l_OFC for 4th sub: 0.21\n",
      "l_OFC for 5th sub: 0.43\n",
      "l_OFC for 6th sub: -0.01\n",
      "l_OFC for 7th sub: 0.18\n",
      "l_OFC for 8th sub: 0.78\n",
      "l_OFC for 9th sub: 0.58\n",
      "l_OFC for 10th sub: 0.22\n",
      "vlPFC for 1th sub: 0.31\n",
      "vlPFC for 2th sub: 0.42\n",
      "vlPFC for 3th sub: 0.28\n",
      "vlPFC for 4th sub: 0.18\n",
      "vlPFC for 5th sub: 0.0\n",
      "vlPFC for 6th sub: 0.33\n",
      "vlPFC for 7th sub: 0.08\n",
      "vlPFC for 8th sub: 0.17\n",
      "vlPFC for 9th sub: 0.22\n",
      "vlPFC for 10th sub: 0.51\n",
      "dmPFC for 1th sub: 0.3\n",
      "dmPFC for 2th sub: -0.0\n",
      "dmPFC for 3th sub: 0.31\n",
      "dmPFC for 4th sub: 0.07\n",
      "dmPFC for 5th sub: -0.24\n",
      "dmPFC for 6th sub: 0.04\n",
      "dmPFC for 7th sub: 0.31\n",
      "dmPFC for 8th sub: 0.55\n",
      "dmPFC for 9th sub: 0.59\n",
      "dmPFC for 10th sub: -0.01\n",
      "VC for 1th sub: 0.29\n",
      "VC for 2th sub: 0.18\n",
      "VC for 3th sub: 0.02\n",
      "VC for 4th sub: 0.07\n",
      "VC for 5th sub: -0.08\n",
      "VC for 6th sub: 0.1\n",
      "VC for 7th sub: 0.13\n",
      "VC for 8th sub: -0.14\n",
      "VC for 9th sub: -0.01\n",
      "VC for 10th sub: -0.13\n",
      "mPFC for 1th sub: -0.01\n",
      "mPFC for 2th sub: 0.29\n",
      "mPFC for 3th sub: 0.37\n",
      "mPFC for 4th sub: 0.02\n",
      "mPFC for 5th sub: 0.46\n",
      "mPFC for 6th sub: 0.08\n",
      "mPFC for 7th sub: 0.19\n",
      "mPFC for 8th sub: -0.01\n",
      "mPFC for 9th sub: 0.71\n",
      "mPFC for 10th sub: -0.06\n",
      "pSTS for 1th sub: 0.13\n",
      "pSTS for 2th sub: 0.2\n",
      "pSTS for 3th sub: 0.14\n",
      "pSTS for 4th sub: 0.34\n",
      "pSTS for 5th sub: 0.14\n",
      "pSTS for 6th sub: 0.16\n",
      "pSTS for 7th sub: 0.24\n",
      "pSTS for 8th sub: 0.38\n",
      "pSTS for 9th sub: -0.13\n",
      "pSTS for 10th sub: 0.16\n",
      "TP for 1th sub: 0.26\n",
      "TP for 2th sub: 0.68\n",
      "TP for 3th sub: 0.15\n",
      "TP for 4th sub: 0.54\n",
      "TP for 5th sub: 0.04\n",
      "TP for 6th sub: 0.21\n",
      "TP for 7th sub: 0.02\n",
      "TP for 8th sub: 0.52\n",
      "TP for 9th sub: -0.14\n",
      "TP for 10th sub: -0.03\n",
      "IPL for 1th sub: 0.32\n",
      "IPL for 2th sub: 0.25\n",
      "IPL for 3th sub: -0.12\n",
      "IPL for 4th sub: 0.43\n",
      "IPL for 5th sub: -0.28\n",
      "IPL for 6th sub: 0.53\n",
      "IPL for 7th sub: -0.16\n",
      "IPL for 8th sub: -0.09\n",
      "IPL for 9th sub: -0.08\n",
      "IPL for 10th sub: 0.08\n",
      "Nac for 1th sub: 0.01\n",
      "Nac for 2th sub: -0.01\n",
      "Nac for 3th sub: -0.02\n",
      "Nac for 4th sub: -0.2\n",
      "Nac for 5th sub: 0.04\n",
      "Nac for 6th sub: 0.6\n",
      "Nac for 7th sub: 0.36\n",
      "Nac for 8th sub: 0.04\n",
      "Nac for 9th sub: -0.02\n",
      "Nac for 10th sub: 0.15\n",
      "ACC for 1th sub: 0.17\n",
      "ACC for 2th sub: 0.03\n",
      "ACC for 3th sub: 0.26\n",
      "ACC for 4th sub: 0.19\n",
      "ACC for 5th sub: 0.34\n",
      "ACC for 6th sub: 0.15\n",
      "ACC for 7th sub: -0.06\n",
      "ACC for 8th sub: 0.07\n",
      "ACC for 9th sub: 0.21\n",
      "ACC for 10th sub: -0.01\n",
      "PreCG for 1th sub: 0.43\n",
      "PreCG for 2th sub: 0.04\n",
      "PreCG for 3th sub: -0.07\n",
      "PreCG for 4th sub: 0.21\n",
      "PreCG for 5th sub: -0.23\n",
      "PreCG for 6th sub: -0.03\n",
      "PreCG for 7th sub: 0.34\n",
      "PreCG for 8th sub: 0.07\n",
      "PreCG for 9th sub: 0.05\n",
      "PreCG for 10th sub: -0.17\n",
      "AMY for 1th sub: -0.03\n",
      "AMY for 2th sub: -0.0\n",
      "AMY for 3th sub: 0.67\n",
      "AMY for 4th sub: 0.42\n",
      "AMY for 5th sub: -0.04\n",
      "AMY for 6th sub: 0.17\n",
      "AMY for 7th sub: -0.02\n",
      "AMY for 8th sub: 0.2\n",
      "AMY for 9th sub: 0.18\n",
      "AMY for 10th sub: 0.17\n",
      "Put for 1th sub: 0.23\n",
      "Put for 2th sub: -0.02\n",
      "Put for 3th sub: 0.01\n",
      "Put for 4th sub: 0.11\n",
      "Put for 5th sub: 0.09\n",
      "Put for 6th sub: 0.3\n",
      "Put for 7th sub: 0.3\n",
      "Put for 8th sub: -0.15\n",
      "Put for 9th sub: 0.2\n",
      "Put for 10th sub: 0.1\n",
      "dlPFC for 1th sub: 0.31\n",
      "dlPFC for 2th sub: 0.31\n",
      "dlPFC for 3th sub: 0.55\n",
      "dlPFC for 4th sub: -0.13\n",
      "dlPFC for 5th sub: 0.31\n",
      "dlPFC for 6th sub: 0.11\n",
      "dlPFC for 7th sub: 0.06\n",
      "dlPFC for 8th sub: 0.15\n",
      "dlPFC for 9th sub: 0.08\n",
      "dlPFC for 10th sub: -0.03\n",
      "\n",
      "***Average across test subjects Correlation Coefficient between 13 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "INS: 0.19\n",
      "PCC: 0.13\n",
      "Cau: 0.09\n",
      "mCC: 0.03\n",
      "mOFC: 0.37\n",
      "l_OFC: 0.24\n",
      "vlPFC: 0.25\n",
      "dmPFC: 0.19\n",
      "VC: 0.04\n",
      "mPFC: 0.2\n",
      "pSTS: 0.18\n",
      "TP: 0.22\n",
      "IPL: 0.09\n",
      "Nac: 0.09\n",
      "ACC: 0.14\n",
      "PreCG: 0.07\n",
      "AMY: 0.17\n",
      "Put: 0.12\n",
      "dlPFC: 0.17\n",
      "***Each Test Subject's Correlation Coefficient between 14 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "INS for 1th sub: 0.12\n",
      "INS for 2th sub: 0.42\n",
      "INS for 3th sub: -0.1\n",
      "INS for 4th sub: 0.05\n",
      "INS for 5th sub: 0.11\n",
      "INS for 6th sub: 0.18\n",
      "INS for 7th sub: 0.15\n",
      "INS for 8th sub: 0.69\n",
      "INS for 9th sub: 0.21\n",
      "INS for 10th sub: 0.06\n",
      "PCC for 1th sub: 0.45\n",
      "PCC for 2th sub: 0.03\n",
      "PCC for 3th sub: 0.45\n",
      "PCC for 4th sub: 0.16\n",
      "PCC for 5th sub: 0.04\n",
      "PCC for 6th sub: 0.02\n",
      "PCC for 7th sub: 0.14\n",
      "PCC for 8th sub: -0.25\n",
      "PCC for 9th sub: 0.22\n",
      "PCC for 10th sub: -0.05\n",
      "Cau for 1th sub: 0.14\n",
      "Cau for 2th sub: 0.18\n",
      "Cau for 3th sub: 0.1\n",
      "Cau for 4th sub: -0.07\n",
      "Cau for 5th sub: 0.01\n",
      "Cau for 6th sub: 0.41\n",
      "Cau for 7th sub: 0.27\n",
      "Cau for 8th sub: 0.06\n",
      "Cau for 9th sub: 0.19\n",
      "Cau for 10th sub: 0.22\n",
      "mCC for 1th sub: 0.21\n",
      "mCC for 2th sub: 0.08\n",
      "mCC for 3th sub: -0.03\n",
      "mCC for 4th sub: 0.16\n",
      "mCC for 5th sub: -0.04\n",
      "mCC for 6th sub: 0.1\n",
      "mCC for 7th sub: -0.1\n",
      "mCC for 8th sub: 0.18\n",
      "mCC for 9th sub: 0.01\n",
      "mCC for 10th sub: -0.11\n",
      "mOFC for 1th sub: 0.06\n",
      "mOFC for 2th sub: 0.39\n",
      "mOFC for 3th sub: 0.32\n",
      "mOFC for 4th sub: 0.24\n",
      "mOFC for 5th sub: 0.45\n",
      "mOFC for 6th sub: 0.22\n",
      "mOFC for 7th sub: 0.51\n",
      "mOFC for 8th sub: 0.78\n",
      "mOFC for 9th sub: 0.5\n",
      "mOFC for 10th sub: 0.18\n",
      "l_OFC for 1th sub: -0.0\n",
      "l_OFC for 2th sub: -0.08\n",
      "l_OFC for 3th sub: 0.04\n",
      "l_OFC for 4th sub: 0.27\n",
      "l_OFC for 5th sub: 0.46\n",
      "l_OFC for 6th sub: 0.02\n",
      "l_OFC for 7th sub: 0.24\n",
      "l_OFC for 8th sub: 0.76\n",
      "l_OFC for 9th sub: 0.56\n",
      "l_OFC for 10th sub: 0.26\n",
      "vlPFC for 1th sub: 0.3\n",
      "vlPFC for 2th sub: 0.43\n",
      "vlPFC for 3th sub: 0.23\n",
      "vlPFC for 4th sub: 0.16\n",
      "vlPFC for 5th sub: 0.08\n",
      "vlPFC for 6th sub: 0.26\n",
      "vlPFC for 7th sub: 0.07\n",
      "vlPFC for 8th sub: 0.11\n",
      "vlPFC for 9th sub: 0.13\n",
      "vlPFC for 10th sub: 0.51\n",
      "dmPFC for 1th sub: 0.25\n",
      "dmPFC for 2th sub: 0.06\n",
      "dmPFC for 3th sub: 0.22\n",
      "dmPFC for 4th sub: 0.19\n",
      "dmPFC for 5th sub: -0.23\n",
      "dmPFC for 6th sub: -0.04\n",
      "dmPFC for 7th sub: 0.32\n",
      "dmPFC for 8th sub: 0.56\n",
      "dmPFC for 9th sub: 0.58\n",
      "dmPFC for 10th sub: -0.18\n",
      "VC for 1th sub: 0.3\n",
      "VC for 2th sub: 0.36\n",
      "VC for 3th sub: 0.08\n",
      "VC for 4th sub: 0.09\n",
      "VC for 5th sub: -0.05\n",
      "VC for 6th sub: 0.08\n",
      "VC for 7th sub: 0.11\n",
      "VC for 8th sub: -0.09\n",
      "VC for 9th sub: 0.06\n",
      "VC for 10th sub: 0.03\n",
      "mPFC for 1th sub: -0.04\n",
      "mPFC for 2th sub: 0.24\n",
      "mPFC for 3th sub: 0.3\n",
      "mPFC for 4th sub: 0.04\n",
      "mPFC for 5th sub: 0.45\n",
      "mPFC for 6th sub: -0.03\n",
      "mPFC for 7th sub: 0.18\n",
      "mPFC for 8th sub: 0.03\n",
      "mPFC for 9th sub: 0.69\n",
      "mPFC for 10th sub: -0.07\n",
      "pSTS for 1th sub: 0.12\n",
      "pSTS for 2th sub: 0.17\n",
      "pSTS for 3th sub: 0.05\n",
      "pSTS for 4th sub: 0.31\n",
      "pSTS for 5th sub: 0.14\n",
      "pSTS for 6th sub: 0.2\n",
      "pSTS for 7th sub: 0.24\n",
      "pSTS for 8th sub: 0.31\n",
      "pSTS for 9th sub: -0.09\n",
      "pSTS for 10th sub: 0.1\n",
      "TP for 1th sub: 0.24\n",
      "TP for 2th sub: 0.7\n",
      "TP for 3th sub: 0.26\n",
      "TP for 4th sub: 0.52\n",
      "TP for 5th sub: 0.08\n",
      "TP for 6th sub: 0.1\n",
      "TP for 7th sub: 0.17\n",
      "TP for 8th sub: 0.57\n",
      "TP for 9th sub: -0.05\n",
      "TP for 10th sub: 0.08\n",
      "IPL for 1th sub: 0.29\n",
      "IPL for 2th sub: 0.3\n",
      "IPL for 3th sub: -0.02\n",
      "IPL for 4th sub: 0.41\n",
      "IPL for 5th sub: -0.21\n",
      "IPL for 6th sub: 0.48\n",
      "IPL for 7th sub: -0.15\n",
      "IPL for 8th sub: -0.07\n",
      "IPL for 9th sub: -0.07\n",
      "IPL for 10th sub: 0.06\n",
      "Nac for 1th sub: 0.18\n",
      "Nac for 2th sub: 0.03\n",
      "Nac for 3th sub: 0.07\n",
      "Nac for 4th sub: -0.23\n",
      "Nac for 5th sub: -0.02\n",
      "Nac for 6th sub: 0.55\n",
      "Nac for 7th sub: 0.44\n",
      "Nac for 8th sub: 0.2\n",
      "Nac for 9th sub: 0.1\n",
      "Nac for 10th sub: 0.17\n",
      "ACC for 1th sub: 0.13\n",
      "ACC for 2th sub: 0.03\n",
      "ACC for 3th sub: 0.22\n",
      "ACC for 4th sub: 0.16\n",
      "ACC for 5th sub: 0.31\n",
      "ACC for 6th sub: 0.03\n",
      "ACC for 7th sub: -0.03\n",
      "ACC for 8th sub: 0.09\n",
      "ACC for 9th sub: 0.17\n",
      "ACC for 10th sub: 0.01\n",
      "PreCG for 1th sub: 0.39\n",
      "PreCG for 2th sub: 0.06\n",
      "PreCG for 3th sub: -0.01\n",
      "PreCG for 4th sub: 0.21\n",
      "PreCG for 5th sub: -0.27\n",
      "PreCG for 6th sub: -0.12\n",
      "PreCG for 7th sub: 0.4\n",
      "PreCG for 8th sub: 0.07\n",
      "PreCG for 9th sub: 0.04\n",
      "PreCG for 10th sub: -0.12\n",
      "AMY for 1th sub: -0.01\n",
      "AMY for 2th sub: 0.01\n",
      "AMY for 3th sub: 0.64\n",
      "AMY for 4th sub: 0.39\n",
      "AMY for 5th sub: -0.01\n",
      "AMY for 6th sub: 0.1\n",
      "AMY for 7th sub: -0.01\n",
      "AMY for 8th sub: 0.25\n",
      "AMY for 9th sub: 0.12\n",
      "AMY for 10th sub: 0.15\n",
      "Put for 1th sub: 0.25\n",
      "Put for 2th sub: -0.06\n",
      "Put for 3th sub: 0.02\n",
      "Put for 4th sub: 0.17\n",
      "Put for 5th sub: 0.06\n",
      "Put for 6th sub: 0.22\n",
      "Put for 7th sub: 0.35\n",
      "Put for 8th sub: -0.04\n",
      "Put for 9th sub: 0.18\n",
      "Put for 10th sub: 0.09\n",
      "dlPFC for 1th sub: 0.23\n",
      "dlPFC for 2th sub: 0.33\n",
      "dlPFC for 3th sub: 0.54\n",
      "dlPFC for 4th sub: -0.1\n",
      "dlPFC for 5th sub: 0.37\n",
      "dlPFC for 6th sub: 0.07\n",
      "dlPFC for 7th sub: 0.06\n",
      "dlPFC for 8th sub: 0.12\n",
      "dlPFC for 9th sub: 0.07\n",
      "dlPFC for 10th sub: -0.08\n",
      "\n",
      "***Average across test subjects Correlation Coefficient between 14 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "INS: 0.19\n",
      "PCC: 0.12\n",
      "Cau: 0.15\n",
      "mCC: 0.05\n",
      "mOFC: 0.37\n",
      "l_OFC: 0.25\n",
      "vlPFC: 0.23\n",
      "dmPFC: 0.17\n",
      "VC: 0.1\n",
      "mPFC: 0.18\n",
      "pSTS: 0.15\n",
      "TP: 0.27\n",
      "IPL: 0.1\n",
      "Nac: 0.15\n",
      "ACC: 0.11\n",
      "PreCG: 0.06\n",
      "AMY: 0.16\n",
      "Put: 0.12\n",
      "dlPFC: 0.16\n",
      "***Each Test Subject's Correlation Coefficient between 15 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "INS for 1th sub: 0.13\n",
      "INS for 2th sub: 0.47\n",
      "INS for 3th sub: -0.09\n",
      "INS for 4th sub: 0.07\n",
      "INS for 5th sub: 0.08\n",
      "INS for 6th sub: 0.03\n",
      "INS for 7th sub: 0.13\n",
      "INS for 8th sub: 0.69\n",
      "INS for 9th sub: 0.25\n",
      "INS for 10th sub: 0.22\n",
      "PCC for 1th sub: 0.53\n",
      "PCC for 2th sub: 0.05\n",
      "PCC for 3th sub: 0.47\n",
      "PCC for 4th sub: 0.07\n",
      "PCC for 5th sub: 0.14\n",
      "PCC for 6th sub: -0.05\n",
      "PCC for 7th sub: -0.03\n",
      "PCC for 8th sub: -0.17\n",
      "PCC for 9th sub: 0.19\n",
      "PCC for 10th sub: 0.04\n",
      "Cau for 1th sub: -0.08\n",
      "Cau for 2th sub: 0.24\n",
      "Cau for 3th sub: -0.12\n",
      "Cau for 4th sub: -0.07\n",
      "Cau for 5th sub: 0.16\n",
      "Cau for 6th sub: 0.43\n",
      "Cau for 7th sub: 0.16\n",
      "Cau for 8th sub: 0.01\n",
      "Cau for 9th sub: 0.15\n",
      "Cau for 10th sub: 0.21\n",
      "mCC for 1th sub: 0.26\n",
      "mCC for 2th sub: 0.04\n",
      "mCC for 3th sub: 0.02\n",
      "mCC for 4th sub: 0.12\n",
      "mCC for 5th sub: 0.05\n",
      "mCC for 6th sub: 0.04\n",
      "mCC for 7th sub: -0.03\n",
      "mCC for 8th sub: 0.18\n",
      "mCC for 9th sub: 0.01\n",
      "mCC for 10th sub: 0.02\n",
      "mOFC for 1th sub: 0.15\n",
      "mOFC for 2th sub: 0.32\n",
      "mOFC for 3th sub: 0.27\n",
      "mOFC for 4th sub: 0.17\n",
      "mOFC for 5th sub: 0.36\n",
      "mOFC for 6th sub: 0.23\n",
      "mOFC for 7th sub: 0.42\n",
      "mOFC for 8th sub: 0.78\n",
      "mOFC for 9th sub: 0.44\n",
      "mOFC for 10th sub: 0.16\n",
      "l_OFC for 1th sub: 0.03\n",
      "l_OFC for 2th sub: -0.11\n",
      "l_OFC for 3th sub: 0.11\n",
      "l_OFC for 4th sub: 0.21\n",
      "l_OFC for 5th sub: 0.45\n",
      "l_OFC for 6th sub: -0.11\n",
      "l_OFC for 7th sub: 0.1\n",
      "l_OFC for 8th sub: 0.77\n",
      "l_OFC for 9th sub: 0.59\n",
      "l_OFC for 10th sub: 0.11\n",
      "vlPFC for 1th sub: 0.4\n",
      "vlPFC for 2th sub: 0.5\n",
      "vlPFC for 3th sub: 0.33\n",
      "vlPFC for 4th sub: 0.14\n",
      "vlPFC for 5th sub: 0.05\n",
      "vlPFC for 6th sub: 0.29\n",
      "vlPFC for 7th sub: 0.13\n",
      "vlPFC for 8th sub: 0.12\n",
      "vlPFC for 9th sub: 0.07\n",
      "vlPFC for 10th sub: 0.58\n",
      "dmPFC for 1th sub: 0.23\n",
      "dmPFC for 2th sub: 0.21\n",
      "dmPFC for 3th sub: 0.15\n",
      "dmPFC for 4th sub: 0.02\n",
      "dmPFC for 5th sub: -0.2\n",
      "dmPFC for 6th sub: 0.15\n",
      "dmPFC for 7th sub: 0.33\n",
      "dmPFC for 8th sub: 0.61\n",
      "dmPFC for 9th sub: 0.57\n",
      "dmPFC for 10th sub: -0.16\n",
      "VC for 1th sub: 0.29\n",
      "VC for 2th sub: 0.39\n",
      "VC for 3th sub: 0.09\n",
      "VC for 4th sub: 0.14\n",
      "VC for 5th sub: -0.02\n",
      "VC for 6th sub: 0.08\n",
      "VC for 7th sub: 0.12\n",
      "VC for 8th sub: -0.08\n",
      "VC for 9th sub: 0.13\n",
      "VC for 10th sub: 0.11\n",
      "mPFC for 1th sub: -0.19\n",
      "mPFC for 2th sub: 0.28\n",
      "mPFC for 3th sub: 0.36\n",
      "mPFC for 4th sub: -0.06\n",
      "mPFC for 5th sub: 0.46\n",
      "mPFC for 6th sub: 0.09\n",
      "mPFC for 7th sub: 0.17\n",
      "mPFC for 8th sub: 0.07\n",
      "mPFC for 9th sub: 0.71\n",
      "mPFC for 10th sub: -0.08\n",
      "pSTS for 1th sub: 0.08\n",
      "pSTS for 2th sub: 0.28\n",
      "pSTS for 3th sub: 0.05\n",
      "pSTS for 4th sub: 0.32\n",
      "pSTS for 5th sub: 0.16\n",
      "pSTS for 6th sub: 0.17\n",
      "pSTS for 7th sub: 0.16\n",
      "pSTS for 8th sub: 0.31\n",
      "pSTS for 9th sub: -0.12\n",
      "pSTS for 10th sub: 0.14\n",
      "TP for 1th sub: 0.25\n",
      "TP for 2th sub: 0.72\n",
      "TP for 3th sub: 0.15\n",
      "TP for 4th sub: 0.5\n",
      "TP for 5th sub: 0.02\n",
      "TP for 6th sub: 0.02\n",
      "TP for 7th sub: 0.03\n",
      "TP for 8th sub: 0.59\n",
      "TP for 9th sub: -0.15\n",
      "TP for 10th sub: 0.04\n",
      "IPL for 1th sub: 0.35\n",
      "IPL for 2th sub: 0.42\n",
      "IPL for 3th sub: -0.07\n",
      "IPL for 4th sub: 0.43\n",
      "IPL for 5th sub: -0.13\n",
      "IPL for 6th sub: 0.51\n",
      "IPL for 7th sub: -0.18\n",
      "IPL for 8th sub: -0.05\n",
      "IPL for 9th sub: -0.08\n",
      "IPL for 10th sub: 0.07\n",
      "Nac for 1th sub: -0.11\n",
      "Nac for 2th sub: 0.07\n",
      "Nac for 3th sub: -0.1\n",
      "Nac for 4th sub: -0.2\n",
      "Nac for 5th sub: 0.09\n",
      "Nac for 6th sub: 0.52\n",
      "Nac for 7th sub: 0.34\n",
      "Nac for 8th sub: 0.15\n",
      "Nac for 9th sub: 0.11\n",
      "Nac for 10th sub: 0.07\n",
      "ACC for 1th sub: -0.03\n",
      "ACC for 2th sub: 0.1\n",
      "ACC for 3th sub: 0.23\n",
      "ACC for 4th sub: 0.08\n",
      "ACC for 5th sub: 0.35\n",
      "ACC for 6th sub: -0.05\n",
      "ACC for 7th sub: 0.01\n",
      "ACC for 8th sub: 0.02\n",
      "ACC for 9th sub: 0.18\n",
      "ACC for 10th sub: -0.04\n",
      "PreCG for 1th sub: 0.49\n",
      "PreCG for 2th sub: 0.08\n",
      "PreCG for 3th sub: -0.07\n",
      "PreCG for 4th sub: 0.13\n",
      "PreCG for 5th sub: -0.24\n",
      "PreCG for 6th sub: 0.06\n",
      "PreCG for 7th sub: 0.35\n",
      "PreCG for 8th sub: 0.12\n",
      "PreCG for 9th sub: 0.05\n",
      "PreCG for 10th sub: -0.08\n",
      "AMY for 1th sub: 0.04\n",
      "AMY for 2th sub: 0.06\n",
      "AMY for 3th sub: 0.65\n",
      "AMY for 4th sub: 0.36\n",
      "AMY for 5th sub: -0.0\n",
      "AMY for 6th sub: 0.17\n",
      "AMY for 7th sub: -0.02\n",
      "AMY for 8th sub: 0.24\n",
      "AMY for 9th sub: 0.11\n",
      "AMY for 10th sub: 0.25\n",
      "Put for 1th sub: 0.17\n",
      "Put for 2th sub: -0.05\n",
      "Put for 3th sub: -0.18\n",
      "Put for 4th sub: 0.17\n",
      "Put for 5th sub: 0.07\n",
      "Put for 6th sub: 0.28\n",
      "Put for 7th sub: 0.32\n",
      "Put for 8th sub: -0.06\n",
      "Put for 9th sub: 0.23\n",
      "Put for 10th sub: 0.16\n",
      "dlPFC for 1th sub: 0.26\n",
      "dlPFC for 2th sub: 0.39\n",
      "dlPFC for 3th sub: 0.57\n",
      "dlPFC for 4th sub: -0.1\n",
      "dlPFC for 5th sub: 0.38\n",
      "dlPFC for 6th sub: 0.14\n",
      "dlPFC for 7th sub: 0.03\n",
      "dlPFC for 8th sub: 0.17\n",
      "dlPFC for 9th sub: 0.08\n",
      "dlPFC for 10th sub: -0.06\n",
      "\n",
      "***Average across test subjects Correlation Coefficient between 15 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "INS: 0.2\n",
      "PCC: 0.13\n",
      "Cau: 0.11\n",
      "mCC: 0.07\n",
      "mOFC: 0.33\n",
      "l_OFC: 0.21\n",
      "vlPFC: 0.26\n",
      "dmPFC: 0.19\n",
      "VC: 0.12\n",
      "mPFC: 0.18\n",
      "pSTS: 0.15\n",
      "TP: 0.22\n",
      "IPL: 0.13\n",
      "Nac: 0.09\n",
      "ACC: 0.08\n",
      "PreCG: 0.09\n",
      "AMY: 0.19\n",
      "Put: 0.11\n",
      "dlPFC: 0.19\n"
     ]
    }
   ],
   "source": [
    "TR_ROI_corr_subs, AVG_TR_ROI_corr_subs = list(), list()\n",
    "for LOOK_AHEAD in LOOK_AHEADS:\n",
    "    print(f\"***Each Test Subject's Correlation Coefficient between {LOOK_AHEAD} ahead predicted and actual average BOLD values for ROIs***\")\n",
    "    print()\n",
    "    avg_r = list()\n",
    "    ROI_corr_subs = list()\n",
    "    for i in range(len(ROI_names)):\n",
    "        actual_test_data_output = np.squeeze(test_data_unscaled[i])[:,LOOK_AHEAD:] \n",
    "        pred_test_data_output = scalers[i].inverse_transform(np.hstack([preds[LOOK_AHEAD-1][i][:,:,0], preds[LOOK_AHEAD-1][i][:,:LOOK_AHEAD,0]]))[:,:-LOOK_AHEAD]\n",
    "        corr_subs = list()\n",
    "        for j in range(NUM_TEST_SUBS):\n",
    "            corr_subs.append(np.round(np.corrcoef(actual_test_data_output[j,:], pred_test_data_output[j,:])[0,1], 2))\n",
    "            print(f\"{ROI_names[i]} for {j+1}th sub: {corr_subs[j]}\")\n",
    "        ROI_corr_subs.append(corr_subs)\n",
    "    TR_ROI_corr_subs.append(ROI_corr_subs)\n",
    "    print()\n",
    "\n",
    "    print(f\"***Average across test subjects Correlation Coefficient between {LOOK_AHEAD} ahead predicted and actual average BOLD values for ROIs***\")\n",
    "    print()\n",
    "    ROI_corr_subs = list()\n",
    "    for i in range(len(ROI_names)):\n",
    "        actual_test_data_output = np.squeeze(test_data_unscaled[i])[:,LOOK_AHEAD:] \n",
    "        pred_test_data_output = scalers[i].inverse_transform(np.hstack([preds[LOOK_AHEAD-1][i][:,:,0], preds[LOOK_AHEAD-1][i][:,:LOOK_AHEAD,0]]))[:,:-LOOK_AHEAD]\n",
    "        sum_r = 0\n",
    "        for j in range(NUM_TEST_SUBS):\n",
    "            sum_r += np.corrcoef(actual_test_data_output[j,:], pred_test_data_output[j,:])[0,1]\n",
    "        ROI_corr_subs.append(np.round(sum_r / NUM_TEST_SUBS, 2))\n",
    "        print(f\"{ROI_names[i]}: {ROI_corr_subs[i]}\")\n",
    "    AVG_TR_ROI_corr_subs.append(ROI_corr_subs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(19, 15, 10) (19, 15)\n"
     ]
    }
   ],
   "source": [
    "TR_ROI_corr_subs = np.transpose(np.array(TR_ROI_corr_subs), (1,0,2))\n",
    "AVG_TR_ROI_corr_subs = np.array(AVG_TR_ROI_corr_subs).T\n",
    "print(TR_ROI_corr_subs.shape, AVG_TR_ROI_corr_subs.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(len(ROI_names)):\n",
    "    plt.figure(figsize=(24, 18))\n",
    "\n",
    "    for j in range(NUM_TEST_SUBS-1):\n",
    "\n",
    "        ax = plt.subplot(3, 3, j + 1)\n",
    "        plt.plot(TR_ROI_corr_subs[i, :, j])\n",
    "        plt.xticks(np.arange(1, 16))\n",
    "        plt.ylabel(\"Correlation\")\n",
    "        plt.xlabel(\"Ahead TRs\")\n",
    "        plt.title(f\"Avg BOLD Corr of {LSTM_LAYERS}L-{HIDDEN_UNITS}H-{DENSE_LAYERS}D-{int(DROPOUT_PROB*10)}Drop for {j+1}th Test Sub's {ROI_names[i]}\")\n",
    "    plt.savefig(f\"./Plots/OLD/LSTM/AVG-BOLD-TEST-ENLARGED/{ROI_names[i]}/{LSTM_LAYERS}L-{HIDDEN_UNITS}H-{DENSE_LAYERS}D-{int(DROPOUT_PROB*10)}Drop-Upto-15Ahead-Corrs.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(len(ROI_names)):\n",
    "    plt.figure(figsize=(10, 10))\n",
    "    plt.plot(AVG_TR_ROI_corr_subs[i])\n",
    "    plt.xticks(np.arange(1, 16))\n",
    "    plt.ylabel(\"Correlation\")\n",
    "    plt.xlabel(\"Ahead TRs\")\n",
    "    plt.title(f\"Avg BOLD Corr of {LSTM_LAYERS}L-{HIDDEN_UNITS}H-{DENSE_LAYERS}D-{int(DROPOUT_PROB*10)}Drop Across Test Subs\")\n",
    "    plt.savefig(f\"./Plots/OLD/LSTM/AVG-BOLD-TEST-ENLARGED/{ROI_names[i]}/{LSTM_LAYERS}L-{HIDDEN_UNITS}H-{DENSE_LAYERS}D-{int(DROPOUT_PROB*10)}Drop-Upto-15Ahead-Corrs-Avg-Across-Subs.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "f8gPew9YMI2B",
    "outputId": "35e82a11-86f5-47ea-918c-cebfe07c90d6"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "***Model's Final MSE(Train) Loss between 1 ahead predicted and actual average BOLD values for ROIs for the Train Subjects***\n",
      "\n",
      "INS: 0.00071\n",
      "PCC: 0.00159\n",
      "Cau: 0.00323\n",
      "mCC: 0.00264\n",
      "mOFC: 0.00311\n",
      "l_OFC: 0.002\n",
      "vlPFC: 0.00134\n",
      "dmPFC: 0.00223\n",
      "VC: 0.00201\n",
      "mPFC: 0.00218\n",
      "pSTS: 0.00161\n",
      "TP: 0.00296\n",
      "IPL: 0.00143\n",
      "Nac: 0.00313\n",
      "ACC: 0.00141\n",
      "PreCG: 0.00149\n",
      "AMY: 0.00373\n",
      "Put: 0.00158\n",
      "dlPFC: 0.00141\n",
      "\n",
      "***Model's Final MSE(Validation) Loss between 1 ahead predicted and actual average BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "INS: 0.00023\n",
      "PCC: 0.0008\n",
      "Cau: 0.00373\n",
      "mCC: 0.00263\n",
      "mOFC: 0.00097\n",
      "l_OFC: 0.00105\n",
      "vlPFC: 0.00129\n",
      "dmPFC: 0.001\n",
      "VC: 0.00113\n",
      "mPFC: 0.002\n",
      "pSTS: 0.0018\n",
      "TP: 0.00163\n",
      "IPL: 0.00086\n",
      "Nac: 0.0038\n",
      "ACC: 0.0009\n",
      "PreCG: 0.00074\n",
      "AMY: 0.00424\n",
      "Put: 0.00171\n",
      "dlPFC: 0.00085\n",
      "***Model's Final MSE(Train) Loss between 2 ahead predicted and actual average BOLD values for ROIs for the Train Subjects***\n",
      "\n",
      "INS: 0.00083\n",
      "PCC: 0.00159\n",
      "Cau: 0.0033\n",
      "mCC: 0.0026\n",
      "mOFC: 0.00324\n",
      "l_OFC: 0.00198\n",
      "vlPFC: 0.00152\n",
      "dmPFC: 0.00227\n",
      "VC: 0.00206\n",
      "mPFC: 0.00223\n",
      "pSTS: 0.00165\n",
      "TP: 0.00301\n",
      "IPL: 0.00146\n",
      "Nac: 0.00317\n",
      "ACC: 0.00142\n",
      "PreCG: 0.00152\n",
      "AMY: 0.00391\n",
      "Put: 0.0016\n",
      "dlPFC: 0.00147\n",
      "\n",
      "***Model's Final MSE(Validation) Loss between 2 ahead predicted and actual average BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "INS: 0.00058\n",
      "PCC: 0.00074\n",
      "Cau: 0.00403\n",
      "mCC: 0.00272\n",
      "mOFC: 0.001\n",
      "l_OFC: 0.00103\n",
      "vlPFC: 0.00105\n",
      "dmPFC: 0.00121\n",
      "VC: 0.0012\n",
      "mPFC: 0.00202\n",
      "pSTS: 0.00177\n",
      "TP: 0.00164\n",
      "IPL: 0.00086\n",
      "Nac: 0.00389\n",
      "ACC: 0.00095\n",
      "PreCG: 0.00074\n",
      "AMY: 0.00445\n",
      "Put: 0.00167\n",
      "dlPFC: 0.00067\n",
      "***Model's Final MSE(Train) Loss between 3 ahead predicted and actual average BOLD values for ROIs for the Train Subjects***\n",
      "\n",
      "INS: 0.00082\n",
      "PCC: 0.00162\n",
      "Cau: 0.00328\n",
      "mCC: 0.00262\n",
      "mOFC: 0.00339\n",
      "l_OFC: 0.00199\n",
      "vlPFC: 0.00153\n",
      "dmPFC: 0.00224\n",
      "VC: 0.0021\n",
      "mPFC: 0.00228\n",
      "pSTS: 0.00164\n",
      "TP: 0.00297\n",
      "IPL: 0.00147\n",
      "Nac: 0.0032\n",
      "ACC: 0.00144\n",
      "PreCG: 0.00153\n",
      "AMY: 0.00388\n",
      "Put: 0.00161\n",
      "dlPFC: 0.00147\n",
      "\n",
      "***Model's Final MSE(Validation) Loss between 3 ahead predicted and actual average BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "INS: 0.00082\n",
      "PCC: 0.00074\n",
      "Cau: 0.00374\n",
      "mCC: 0.00297\n",
      "mOFC: 0.00118\n",
      "l_OFC: 0.001\n",
      "vlPFC: 0.00184\n",
      "dmPFC: 0.00124\n",
      "VC: 0.0011\n",
      "mPFC: 0.00217\n",
      "pSTS: 0.00175\n",
      "TP: 0.00146\n",
      "IPL: 0.00085\n",
      "Nac: 0.00388\n",
      "ACC: 0.00083\n",
      "PreCG: 0.00073\n",
      "AMY: 0.00427\n",
      "Put: 0.00162\n",
      "dlPFC: 0.00087\n",
      "***Model's Final MSE(Train) Loss between 4 ahead predicted and actual average BOLD values for ROIs for the Train Subjects***\n",
      "\n",
      "INS: 0.0009\n",
      "PCC: 0.00166\n",
      "Cau: 0.00332\n",
      "mCC: 0.00264\n",
      "mOFC: 0.00353\n",
      "l_OFC: 0.00204\n",
      "vlPFC: 0.00144\n",
      "dmPFC: 0.00232\n",
      "VC: 0.00215\n",
      "mPFC: 0.00232\n",
      "pSTS: 0.00167\n",
      "TP: 0.00309\n",
      "IPL: 0.00147\n",
      "Nac: 0.00323\n",
      "ACC: 0.00147\n",
      "PreCG: 0.00157\n",
      "AMY: 0.00407\n",
      "Put: 0.00163\n",
      "dlPFC: 0.00148\n",
      "\n",
      "***Model's Final MSE(Validation) Loss between 4 ahead predicted and actual average BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "INS: 0.00048\n",
      "PCC: 0.00073\n",
      "Cau: 0.00409\n",
      "mCC: 0.00274\n",
      "mOFC: 0.00128\n",
      "l_OFC: 0.00103\n",
      "vlPFC: 0.00137\n",
      "dmPFC: 0.00125\n",
      "VC: 0.00131\n",
      "mPFC: 0.00212\n",
      "pSTS: 0.00178\n",
      "TP: 0.00162\n",
      "IPL: 0.00085\n",
      "Nac: 0.00397\n",
      "ACC: 0.00087\n",
      "PreCG: 0.00077\n",
      "AMY: 0.00417\n",
      "Put: 0.00169\n",
      "dlPFC: 0.00096\n",
      "***Model's Final MSE(Train) Loss between 5 ahead predicted and actual average BOLD values for ROIs for the Train Subjects***\n",
      "\n",
      "INS: 0.00093\n",
      "PCC: 0.00166\n",
      "Cau: 0.00326\n",
      "mCC: 0.00271\n",
      "mOFC: 0.00366\n",
      "l_OFC: 0.00205\n",
      "vlPFC: 0.00144\n",
      "dmPFC: 0.00231\n",
      "VC: 0.00214\n",
      "mPFC: 0.00229\n",
      "pSTS: 0.00167\n",
      "TP: 0.00308\n",
      "IPL: 0.00148\n",
      "Nac: 0.00319\n",
      "ACC: 0.00144\n",
      "PreCG: 0.00159\n",
      "AMY: 0.00393\n",
      "Put: 0.00164\n",
      "dlPFC: 0.00149\n",
      "\n",
      "***Model's Final MSE(Validation) Loss between 5 ahead predicted and actual average BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "INS: 0.001\n",
      "PCC: 0.00069\n",
      "Cau: 0.00439\n",
      "mCC: 0.00262\n",
      "mOFC: 0.0012\n",
      "l_OFC: 0.00106\n",
      "vlPFC: 0.00185\n",
      "dmPFC: 0.00122\n",
      "VC: 0.00126\n",
      "mPFC: 0.00218\n",
      "pSTS: 0.00181\n",
      "TP: 0.00167\n",
      "IPL: 0.0009\n",
      "Nac: 0.00437\n",
      "ACC: 0.00096\n",
      "PreCG: 0.00072\n",
      "AMY: 0.00398\n",
      "Put: 0.00176\n",
      "dlPFC: 0.00088\n",
      "***Model's Final MSE(Train) Loss between 6 ahead predicted and actual average BOLD values for ROIs for the Train Subjects***\n",
      "\n",
      "INS: 0.00092\n",
      "PCC: 0.00165\n",
      "Cau: 0.00326\n",
      "mCC: 0.00264\n",
      "mOFC: 0.00377\n",
      "l_OFC: 0.00207\n",
      "vlPFC: 0.00143\n",
      "dmPFC: 0.00222\n",
      "VC: 0.00215\n",
      "mPFC: 0.00234\n",
      "pSTS: 0.00166\n",
      "TP: 0.00307\n",
      "IPL: 0.00146\n",
      "Nac: 0.00325\n",
      "ACC: 0.00144\n",
      "PreCG: 0.00156\n",
      "AMY: 0.00396\n",
      "Put: 0.00166\n",
      "dlPFC: 0.00149\n",
      "\n",
      "***Model's Final MSE(Validation) Loss between 6 ahead predicted and actual average BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "INS: 0.00108\n",
      "PCC: 0.00076\n",
      "Cau: 0.00365\n",
      "mCC: 0.00286\n",
      "mOFC: 0.00129\n",
      "l_OFC: 0.00112\n",
      "vlPFC: 0.00149\n",
      "dmPFC: 0.00114\n",
      "VC: 0.00126\n",
      "mPFC: 0.00216\n",
      "pSTS: 0.00182\n",
      "TP: 0.00172\n",
      "IPL: 0.00087\n",
      "Nac: 0.00366\n",
      "ACC: 0.00097\n",
      "PreCG: 0.0008\n",
      "AMY: 0.00437\n",
      "Put: 0.00179\n",
      "dlPFC: 0.00086\n",
      "***Model's Final MSE(Train) Loss between 7 ahead predicted and actual average BOLD values for ROIs for the Train Subjects***\n",
      "\n",
      "INS: 0.00089\n",
      "PCC: 0.00164\n",
      "Cau: 0.00325\n",
      "mCC: 0.00266\n",
      "mOFC: 0.00383\n",
      "l_OFC: 0.00212\n",
      "vlPFC: 0.00144\n",
      "dmPFC: 0.00227\n",
      "VC: 0.00221\n",
      "mPFC: 0.00232\n",
      "pSTS: 0.00168\n",
      "TP: 0.00315\n",
      "IPL: 0.00149\n",
      "Nac: 0.00324\n",
      "ACC: 0.00145\n",
      "PreCG: 0.00162\n",
      "AMY: 0.0041\n",
      "Put: 0.00168\n",
      "dlPFC: 0.00153\n",
      "\n",
      "***Model's Final MSE(Validation) Loss between 7 ahead predicted and actual average BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "INS: 0.00049\n",
      "PCC: 0.0007\n",
      "Cau: 0.00401\n",
      "mCC: 0.00249\n",
      "mOFC: 0.00132\n",
      "l_OFC: 0.00123\n",
      "vlPFC: 0.00171\n",
      "dmPFC: 0.00117\n",
      "VC: 0.00114\n",
      "mPFC: 0.00206\n",
      "pSTS: 0.00154\n",
      "TP: 0.00157\n",
      "IPL: 0.00085\n",
      "Nac: 0.00427\n",
      "ACC: 0.00095\n",
      "PreCG: 0.00075\n",
      "AMY: 0.00402\n",
      "Put: 0.00174\n",
      "dlPFC: 0.00068\n",
      "***Model's Final MSE(Train) Loss between 8 ahead predicted and actual average BOLD values for ROIs for the Train Subjects***\n",
      "\n",
      "INS: 0.00085\n",
      "PCC: 0.00166\n",
      "Cau: 0.00326\n",
      "mCC: 0.0027\n",
      "mOFC: 0.00402\n",
      "l_OFC: 0.00216\n",
      "vlPFC: 0.00146\n",
      "dmPFC: 0.00224\n",
      "VC: 0.00216\n",
      "mPFC: 0.00233\n",
      "pSTS: 0.00168\n",
      "TP: 0.00311\n",
      "IPL: 0.00153\n",
      "Nac: 0.00331\n",
      "ACC: 0.00144\n",
      "PreCG: 0.00162\n",
      "AMY: 0.00404\n",
      "Put: 0.00166\n",
      "dlPFC: 0.00147\n",
      "\n",
      "***Model's Final MSE(Validation) Loss between 8 ahead predicted and actual average BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "INS: 0.00057\n",
      "PCC: 0.00079\n",
      "Cau: 0.00324\n",
      "mCC: 0.0028\n",
      "mOFC: 0.00129\n",
      "l_OFC: 0.0011\n",
      "vlPFC: 0.00151\n",
      "dmPFC: 0.00091\n",
      "VC: 0.00139\n",
      "mPFC: 0.00185\n",
      "pSTS: 0.00168\n",
      "TP: 0.00165\n",
      "IPL: 0.00082\n",
      "Nac: 0.00352\n",
      "ACC: 0.00083\n",
      "PreCG: 0.00075\n",
      "AMY: 0.00328\n",
      "Put: 0.0018\n",
      "dlPFC: 0.00072\n",
      "***Model's Final MSE(Train) Loss between 9 ahead predicted and actual average BOLD values for ROIs for the Train Subjects***\n",
      "\n",
      "INS: 0.00085\n",
      "PCC: 0.00163\n",
      "Cau: 0.00332\n",
      "mCC: 0.00267\n",
      "mOFC: 0.00407\n",
      "l_OFC: 0.00217\n",
      "vlPFC: 0.00152\n",
      "dmPFC: 0.00234\n",
      "VC: 0.00215\n",
      "mPFC: 0.00232\n",
      "pSTS: 0.00171\n",
      "TP: 0.0031\n",
      "IPL: 0.0015\n",
      "Nac: 0.00335\n",
      "ACC: 0.00146\n",
      "PreCG: 0.00159\n",
      "AMY: 0.00406\n",
      "Put: 0.00169\n",
      "dlPFC: 0.00141\n",
      "\n",
      "***Model's Final MSE(Validation) Loss between 9 ahead predicted and actual average BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "INS: 0.00078\n",
      "PCC: 0.00075\n",
      "Cau: 0.00363\n",
      "mCC: 0.00261\n",
      "mOFC: 0.00142\n",
      "l_OFC: 0.00116\n",
      "vlPFC: 0.00137\n",
      "dmPFC: 0.00093\n",
      "VC: 0.00132\n",
      "mPFC: 0.00198\n",
      "pSTS: 0.00156\n",
      "TP: 0.00168\n",
      "IPL: 0.00085\n",
      "Nac: 0.00375\n",
      "ACC: 0.00082\n",
      "PreCG: 0.00074\n",
      "AMY: 0.00363\n",
      "Put: 0.00174\n",
      "dlPFC: 0.00112\n",
      "***Model's Final MSE(Train) Loss between 10 ahead predicted and actual average BOLD values for ROIs for the Train Subjects***\n",
      "\n",
      "INS: 0.00086\n",
      "PCC: 0.00167\n",
      "Cau: 0.00334\n",
      "mCC: 0.00274\n",
      "mOFC: 0.00424\n",
      "l_OFC: 0.00223\n",
      "vlPFC: 0.00149\n",
      "dmPFC: 0.00236\n",
      "VC: 0.00217\n",
      "mPFC: 0.00234\n",
      "pSTS: 0.00175\n",
      "TP: 0.0032\n",
      "IPL: 0.00154\n",
      "Nac: 0.00338\n",
      "ACC: 0.00145\n",
      "PreCG: 0.00163\n",
      "AMY: 0.00411\n",
      "Put: 0.0017\n",
      "dlPFC: 0.00145\n",
      "\n",
      "***Model's Final MSE(Validation) Loss between 10 ahead predicted and actual average BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "INS: 0.00059\n",
      "PCC: 0.00074\n",
      "Cau: 0.00354\n",
      "mCC: 0.00254\n",
      "mOFC: 0.00145\n",
      "l_OFC: 0.00111\n",
      "vlPFC: 0.00154\n",
      "dmPFC: 0.00101\n",
      "VC: 0.0012\n",
      "mPFC: 0.00182\n",
      "pSTS: 0.00165\n",
      "TP: 0.00147\n",
      "IPL: 0.00078\n",
      "Nac: 0.00372\n",
      "ACC: 0.00087\n",
      "PreCG: 0.00071\n",
      "AMY: 0.00316\n",
      "Put: 0.00179\n",
      "dlPFC: 0.00098\n",
      "***Model's Final MSE(Train) Loss between 11 ahead predicted and actual average BOLD values for ROIs for the Train Subjects***\n",
      "\n",
      "INS: 0.00084\n",
      "PCC: 0.00163\n",
      "Cau: 0.00335\n",
      "mCC: 0.00269\n",
      "mOFC: 0.00433\n",
      "l_OFC: 0.00223\n",
      "vlPFC: 0.00145\n",
      "dmPFC: 0.00237\n",
      "VC: 0.00219\n",
      "mPFC: 0.00232\n",
      "pSTS: 0.00174\n",
      "TP: 0.00318\n",
      "IPL: 0.00154\n",
      "Nac: 0.00337\n",
      "ACC: 0.00145\n",
      "PreCG: 0.00164\n",
      "AMY: 0.00414\n",
      "Put: 0.0017\n",
      "dlPFC: 0.00145\n",
      "\n",
      "***Model's Final MSE(Validation) Loss between 11 ahead predicted and actual average BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "INS: 0.00078\n",
      "PCC: 0.00075\n",
      "Cau: 0.00366\n",
      "mCC: 0.00233\n",
      "mOFC: 0.00149\n",
      "l_OFC: 0.00113\n",
      "vlPFC: 0.00142\n",
      "dmPFC: 0.00102\n",
      "VC: 0.00109\n",
      "mPFC: 0.0017\n",
      "pSTS: 0.00148\n",
      "TP: 0.00153\n",
      "IPL: 0.00071\n",
      "Nac: 0.00391\n",
      "ACC: 0.0008\n",
      "PreCG: 0.00071\n",
      "AMY: 0.00279\n",
      "Put: 0.00178\n",
      "dlPFC: 0.00096\n",
      "***Model's Final MSE(Train) Loss between 12 ahead predicted and actual average BOLD values for ROIs for the Train Subjects***\n",
      "\n",
      "INS: 0.00085\n",
      "PCC: 0.00167\n",
      "Cau: 0.00332\n",
      "mCC: 0.00278\n",
      "mOFC: 0.00444\n",
      "l_OFC: 0.00224\n",
      "vlPFC: 0.00155\n",
      "dmPFC: 0.00231\n",
      "VC: 0.00212\n",
      "mPFC: 0.00233\n",
      "pSTS: 0.00175\n",
      "TP: 0.00317\n",
      "IPL: 0.00152\n",
      "Nac: 0.00335\n",
      "ACC: 0.00146\n",
      "PreCG: 0.00161\n",
      "AMY: 0.00427\n",
      "Put: 0.00171\n",
      "dlPFC: 0.00147\n",
      "\n",
      "***Model's Final MSE(Validation) Loss between 12 ahead predicted and actual average BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "INS: 0.0008\n",
      "PCC: 0.00071\n",
      "Cau: 0.00394\n",
      "mCC: 0.00244\n",
      "mOFC: 0.00158\n",
      "l_OFC: 0.00117\n",
      "vlPFC: 0.00157\n",
      "dmPFC: 0.00103\n",
      "VC: 0.00124\n",
      "mPFC: 0.00199\n",
      "pSTS: 0.00168\n",
      "TP: 0.00171\n",
      "IPL: 0.00075\n",
      "Nac: 0.00406\n",
      "ACC: 0.00095\n",
      "PreCG: 0.00077\n",
      "AMY: 0.00278\n",
      "Put: 0.00182\n",
      "dlPFC: 0.00098\n",
      "***Model's Final MSE(Train) Loss between 13 ahead predicted and actual average BOLD values for ROIs for the Train Subjects***\n",
      "\n",
      "INS: 0.00084\n",
      "PCC: 0.00162\n",
      "Cau: 0.0033\n",
      "mCC: 0.0027\n",
      "mOFC: 0.00454\n",
      "l_OFC: 0.00228\n",
      "vlPFC: 0.00155\n",
      "dmPFC: 0.00224\n",
      "VC: 0.00208\n",
      "mPFC: 0.00234\n",
      "pSTS: 0.00169\n",
      "TP: 0.00328\n",
      "IPL: 0.00149\n",
      "Nac: 0.00338\n",
      "ACC: 0.00144\n",
      "PreCG: 0.00156\n",
      "AMY: 0.00433\n",
      "Put: 0.00174\n",
      "dlPFC: 0.00147\n",
      "\n",
      "***Model's Final MSE(Validation) Loss between 13 ahead predicted and actual average BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "INS: 0.00083\n",
      "PCC: 0.00082\n",
      "Cau: 0.00408\n",
      "mCC: 0.00274\n",
      "mOFC: 0.00172\n",
      "l_OFC: 0.0012\n",
      "vlPFC: 0.00146\n",
      "dmPFC: 0.0011\n",
      "VC: 0.00114\n",
      "mPFC: 0.00196\n",
      "pSTS: 0.00177\n",
      "TP: 0.0016\n",
      "IPL: 0.00067\n",
      "Nac: 0.00452\n",
      "ACC: 0.001\n",
      "PreCG: 0.00079\n",
      "AMY: 0.0028\n",
      "Put: 0.00185\n",
      "dlPFC: 0.00091\n",
      "***Model's Final MSE(Train) Loss between 14 ahead predicted and actual average BOLD values for ROIs for the Train Subjects***\n",
      "\n",
      "INS: 0.00086\n",
      "PCC: 0.00169\n",
      "Cau: 0.00339\n",
      "mCC: 0.00274\n",
      "mOFC: 0.00463\n",
      "l_OFC: 0.00232\n",
      "vlPFC: 0.0016\n",
      "dmPFC: 0.00233\n",
      "VC: 0.00215\n",
      "mPFC: 0.00247\n",
      "pSTS: 0.00173\n",
      "TP: 0.00327\n",
      "IPL: 0.00152\n",
      "Nac: 0.00346\n",
      "ACC: 0.00147\n",
      "PreCG: 0.00161\n",
      "AMY: 0.00447\n",
      "Put: 0.00178\n",
      "dlPFC: 0.00149\n",
      "\n",
      "***Model's Final MSE(Validation) Loss between 14 ahead predicted and actual average BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "INS: 0.00069\n",
      "PCC: 0.00077\n",
      "Cau: 0.00409\n",
      "mCC: 0.00254\n",
      "mOFC: 0.0016\n",
      "l_OFC: 0.00112\n",
      "vlPFC: 0.0011\n",
      "dmPFC: 0.00106\n",
      "VC: 0.00101\n",
      "mPFC: 0.00173\n",
      "pSTS: 0.00167\n",
      "TP: 0.00153\n",
      "IPL: 0.00076\n",
      "Nac: 0.0041\n",
      "ACC: 0.00093\n",
      "PreCG: 0.00074\n",
      "AMY: 0.00275\n",
      "Put: 0.00188\n",
      "dlPFC: 0.00092\n",
      "***Model's Final MSE(Train) Loss between 15 ahead predicted and actual average BOLD values for ROIs for the Train Subjects***\n",
      "\n",
      "INS: 0.00086\n",
      "PCC: 0.00172\n",
      "Cau: 0.00339\n",
      "mCC: 0.00275\n",
      "mOFC: 0.00462\n",
      "l_OFC: 0.00231\n",
      "vlPFC: 0.00164\n",
      "dmPFC: 0.00238\n",
      "VC: 0.00212\n",
      "mPFC: 0.00244\n",
      "pSTS: 0.00175\n",
      "TP: 0.00329\n",
      "IPL: 0.00153\n",
      "Nac: 0.00341\n",
      "ACC: 0.00146\n",
      "PreCG: 0.00159\n",
      "AMY: 0.00452\n",
      "Put: 0.00174\n",
      "dlPFC: 0.00154\n",
      "\n",
      "***Model's Final MSE(Validation) Loss between 15 ahead predicted and actual average BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "INS: 0.00069\n",
      "PCC: 0.0008\n",
      "Cau: 0.00395\n",
      "mCC: 0.00233\n",
      "mOFC: 0.00175\n",
      "l_OFC: 0.00128\n",
      "vlPFC: 0.00095\n",
      "dmPFC: 0.00094\n",
      "VC: 0.00125\n",
      "mPFC: 0.00161\n",
      "pSTS: 0.00168\n",
      "TP: 0.00164\n",
      "IPL: 0.00076\n",
      "Nac: 0.00448\n",
      "ACC: 0.00099\n",
      "PreCG: 0.00072\n",
      "AMY: 0.00283\n",
      "Put: 0.00182\n",
      "dlPFC: 0.00087\n"
     ]
    }
   ],
   "source": [
    "for LOOK_AHEAD in LOOK_AHEADS:\n",
    "    print(f\"***Model's Final MSE(Train) Loss between {LOOK_AHEAD} ahead predicted and actual average BOLD values for ROIs for the Train Subjects***\")\n",
    "    print()\n",
    "    for i in range(len(ROI_names)):\n",
    "        print(ROI_names[i]+\":\", np.round(histories[LOOK_AHEAD-1][i].history['loss'][-1], 5))\n",
    "    print()\n",
    "    print(f\"***Model's Final MSE(Validation) Loss between {LOOK_AHEAD} ahead predicted and actual average BOLD values for ROIs for the Test Subjects***\")\n",
    "    print()\n",
    "    for i in range(len(ROI_names)):\n",
    "        print(ROI_names[i]+\":\", np.round(histories[LOOK_AHEAD-1][i].history['val_loss'][-1], 5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "***Model's Final MSE(Validation) Loss between 1 ahead predicted and actual avg voxel BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "INS for Each Validation Subject: [2.9516659  0.799908   3.2156372  1.1280106  1.1624477  1.275948\n",
      " 1.0663582  0.8569655  0.74130654 0.68675506]\n",
      "INS : 1.3885002\n",
      "PCC for Each Validation Subject: [7.2517414 1.7498733 8.423507  5.0975666 1.8836716 2.4788952 2.096491\n",
      " 1.0510714 5.670858  1.3542923]\n",
      "PCC : 3.7057967\n",
      "Cau for Each Validation Subject: [24.464779   3.8291216 31.93632    4.365171  19.519112   5.0664988\n",
      "  4.2683525 20.774073  49.725937  60.51299  ]\n",
      "Cau : 22.446236\n",
      "mCC for Each Validation Subject: [ 7.278691   1.8957207  6.4047966 14.16081   34.93213    2.0235448\n",
      "  2.695787   3.9474103  8.571749   3.752842 ]\n",
      "mCC : 8.566348\n",
      "mOFC for Each Validation Subject: [8.980048  3.2796254 3.5362453 1.9420353 2.9814367 7.411803  2.5990515\n",
      " 2.0841548 2.1036742 4.1048107]\n",
      "mOFC : 3.902289\n",
      "l_OFC for Each Validation Subject: [16.802307   4.691277  14.456796   3.1221163  5.865529   2.8506896\n",
      "  3.3815794  1.4971385  1.8524218 13.271206 ]\n",
      "l_OFC : 6.779106\n",
      "vlPFC for Each Validation Subject: [ 2.0387118  1.850932   7.3504558  1.8535328 26.39943    1.1881129\n",
      "  1.1671084  1.3095784  3.79849    1.6466756]\n",
      "vlPFC : 4.8603024\n",
      "dmPFC for Each Validation Subject: [ 8.150612   4.1771894 12.614343   4.92441    1.2752585  5.6534395\n",
      "  1.8517033  4.899512   1.6868805  1.2329884]\n",
      "dmPFC : 4.646634\n",
      "VC for Each Validation Subject: [0.9874468 1.2984871 0.8258959 2.9597464 2.0502737 2.6018758 1.9873155\n",
      " 2.2405193 1.4290109 1.082296 ]\n",
      "VC : 1.7462867\n",
      "mPFC for Each Validation Subject: [47.95731    5.0059795 20.831423   3.3399775 13.500584  28.27561\n",
      "  4.1067333 23.321423   3.4075224 17.112667 ]\n",
      "mPFC : 16.685923\n",
      "pSTS for Each Validation Subject: [ 6.455135   6.5289497 17.373287   1.0841981 11.636199   3.0479326\n",
      "  3.0922318  7.588146  15.653987   9.176827 ]\n",
      "pSTS : 8.16369\n",
      "TP for Each Validation Subject: [ 4.740978  36.836357  32.57527    4.759772   6.3183813 19.833376\n",
      "  8.70543    5.016223   7.1854234 10.024774 ]\n",
      "TP : 13.5996\n",
      "IPL for Each Validation Subject: [ 7.3446803 10.150189   1.3874108  2.930946   1.6736203  2.0483873\n",
      "  1.1075543  0.6888247  1.4294631  0.837575 ]\n",
      "IPL : 2.959865\n",
      "Nac for Each Validation Subject: [20.611042   4.1948295 37.444874   4.2937264 15.898431   4.22459\n",
      "  3.9099052 13.49739   35.361057  73.328255 ]\n",
      "Nac : 21.27641\n",
      "ACC for Each Validation Subject: [ 6.6207585  2.387982  25.632183   2.0272303  1.9064821  1.2331625\n",
      "  2.7483912  1.0646455  3.7976067  1.4503495]\n",
      "ACC : 4.886879\n",
      "PreCG for Each Validation Subject: [ 3.9203959  1.3218921  2.5138845  2.310555   1.4538292  3.453819\n",
      " 10.99814    0.7918691  1.4175982  1.879046 ]\n",
      "PreCG : 3.006103\n",
      "AMY for Each Validation Subject: [ 5.7787304  4.578797  95.66649    3.8761063 26.688236   8.011298\n",
      "  5.794036  14.814318   5.318326  13.248023 ]\n",
      "AMY : 18.377436\n",
      "Put for Each Validation Subject: [ 3.4255044  58.460957    6.0353537   0.93865013  1.4203833   1.3011426\n",
      "  1.5391744   6.997586    1.33061     2.8458953 ]\n",
      "Put : 8.429525\n",
      "dlPFC for Each Validation Subject: [12.835685   1.6017629  2.8791976  1.4870046  4.7165327  1.5755985\n",
      "  2.0962076  1.7219001  1.0668983  0.9003906]\n",
      "dlPFC : 3.0881178\n",
      "***Model's Final MSE(Validation) Loss between 2 ahead predicted and actual avg voxel BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "INS for Each Validation Subject: [9.812349  1.5329475 8.634194  1.5332987 4.5802655 1.5615667 1.6078049\n",
      " 1.6827817 3.448792  2.486356 ]\n",
      "INS : 3.6880355\n",
      "PCC for Each Validation Subject: [6.605249  1.8288902 7.7784667 4.7804394 1.8193706 2.4754045 1.7829355\n",
      " 0.9824168 5.0706873 1.1992458]\n",
      "PCC : 3.4323106\n",
      "Cau for Each Validation Subject: [27.149456   4.120667  33.942165   4.6528263 21.18248    5.4667964\n",
      "  4.4492044 22.633743  54.281994  65.72896  ]\n",
      "Cau : 24.360828\n",
      "mCC for Each Validation Subject: [ 7.9404416  2.007862   7.2082767 15.653139  35.476116   1.9934794\n",
      "  2.7721698  4.7294817  9.4874325  4.2502213]\n",
      "mCC : 9.151862\n",
      "mOFC for Each Validation Subject: [8.837658  3.261584  3.6462972 2.2729912 2.9085302 7.616971  2.2859123\n",
      " 1.9934876 2.1984394 3.9775045]\n",
      "mOFC : 3.8999379\n",
      "l_OFC for Each Validation Subject: [16.193483   4.58935   13.402023   2.9474156  5.6177893  2.7594118\n",
      "  3.0963461  1.4131143  1.8547902 12.560185 ]\n",
      "l_OFC : 6.443391\n",
      "vlPFC for Each Validation Subject: [ 1.2473263  1.815591   5.420231   2.250828  23.318624   0.9066746\n",
      "  0.9438228  0.9172495  2.4697864  1.009569 ]\n",
      "vlPFC : 4.0299706\n",
      "dmPFC for Each Validation Subject: [10.382285   5.0715876 15.878862   6.1726103  1.6247292  7.3984284\n",
      "  2.3060212  6.273708   2.0577261  1.3640987]\n",
      "dmPFC : 5.8530054\n",
      "VC for Each Validation Subject: [1.0120734  1.4634466  0.99731886 3.4346852  2.32474    2.8694286\n",
      " 2.182114   2.4801888  1.5365435  1.1387987 ]\n",
      "VC : 1.9439338\n",
      "mPFC for Each Validation Subject: [46.51109    5.410074  21.798216   3.506312  13.479381  28.894657\n",
      "  4.0784655 24.002148   3.4001765 17.5858   ]\n",
      "mPFC : 16.866632\n",
      "pSTS for Each Validation Subject: [ 6.394854   6.5524864 17.828053   1.3728226 12.645769   3.0490243\n",
      "  2.695105   7.61695   15.844318   9.487678 ]\n",
      "pSTS : 8.348707\n",
      "TP for Each Validation Subject: [ 4.92081   40.354324  33.52266    5.0757465  6.3045063 20.853352\n",
      "  8.239103   4.6868644  7.371906   9.6405   ]\n",
      "TP : 14.096977\n",
      "IPL for Each Validation Subject: [ 7.562977   10.345211    1.4958446   2.879977    1.799438    2.0362794\n",
      "  1.1435872   0.8433732   1.4775009   0.94800466]\n",
      "IPL : 3.0532193\n",
      "Nac for Each Validation Subject: [21.51751    4.2035804 37.47363    4.443635  16.335917   4.4204926\n",
      "  4.021138  13.252285  36.68269   75.858894 ]\n",
      "Nac : 21.820978\n",
      "ACC for Each Validation Subject: [ 7.4335346  2.5374436 26.988855   2.1325336  1.9921728  1.3542387\n",
      "  2.7851532  1.1546763  4.0439305  1.4366621]\n",
      "ACC : 5.18592\n",
      "PreCG for Each Validation Subject: [ 3.857892   1.4963807  2.49213    2.356302   1.5433735  3.4131982\n",
      " 10.489782   0.8438935  1.5035276  1.9132051]\n",
      "PreCG : 2.9909682\n",
      "AMY for Each Validation Subject: [ 6.301591   5.37285   99.65712    4.1512213 29.177944   7.921312\n",
      "  6.9911084 15.066378   5.7227974 14.109689 ]\n",
      "AMY : 19.4472\n",
      "Put for Each Validation Subject: [ 3.1971645  58.49901     5.367482    0.87286174  1.4022462   1.2881378\n",
      "  1.5456997   6.3804126   1.4004842   2.5215771 ]\n",
      "Put : 8.247507\n",
      "dlPFC for Each Validation Subject: [9.0726595 1.4795679 2.1642227 1.4440899 4.021689  1.1921756 1.6456524\n",
      " 1.2966932 1.052133  0.7021628]\n",
      "dlPFC : 2.4071047\n",
      "***Model's Final MSE(Validation) Loss between 3 ahead predicted and actual avg voxel BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "INS for Each Validation Subject: [13.881629   2.3747697 11.913485   1.7678479  6.6594343  1.6188459\n",
      "  2.0099604  2.91464    5.3851504  4.1084604]\n",
      "INS : 5.2634225\n",
      "PCC for Each Validation Subject: [6.2368584 1.7135961 7.584596  4.9689493 2.0482569 2.457873  1.9903239\n",
      " 0.9396809 5.118678  1.3257229]\n",
      "PCC : 3.4384537\n",
      "Cau for Each Validation Subject: [25.827007   4.280312  33.76507    4.0305905 19.379923   5.3782973\n",
      "  4.2703557 21.531992  50.893555  61.897408 ]\n",
      "Cau : 23.125452\n",
      "mCC for Each Validation Subject: [ 8.520661   1.8262932  7.669388  16.018291  39.555016   2.0083745\n",
      "  2.9118295  5.0064974  9.788578   4.6484766]\n",
      "mCC : 9.795341\n",
      "mOFC for Each Validation Subject: [10.495783   3.0673761  4.045436   2.5379646  3.5047863  8.999784\n",
      "  2.5266986  1.9727137  2.4247768  4.7183647]\n",
      "mOFC : 4.4293685\n",
      "l_OFC for Each Validation Subject: [15.176294   4.4310865 12.643337   2.873134   5.1808467  2.7866282\n",
      "  2.5671313  1.3866916  1.6339377 11.77838  ]\n",
      "l_OFC : 6.045747\n",
      "vlPFC for Each Validation Subject: [ 2.888847   2.404285  10.573246   1.9772558 40.80859    1.140752\n",
      "  1.4659235  1.8927543  5.4815297  2.2810194]\n",
      "vlPFC : 7.09142\n",
      "dmPFC for Each Validation Subject: [10.937963   5.168202  16.740637   5.489865   1.6285518  7.689907\n",
      "  2.3596556  6.3094616  2.229691   1.4800746]\n",
      "dmPFC : 6.003401\n",
      "VC for Each Validation Subject: [0.9643843 1.5607831 1.1398541 3.1182563 2.1712086 2.3712244 1.9317942\n",
      " 2.2203612 1.4435297 1.1010673]\n",
      "VC : 1.8022461\n",
      "mPFC for Each Validation Subject: [51.232243   5.8368287 23.411238   3.7533484 14.377998  31.319162\n",
      "  4.6962667 25.456863   3.4464018 18.658491 ]\n",
      "mPFC : 18.218884\n",
      "pSTS for Each Validation Subject: [ 5.801969   6.206449  18.867455   1.3766968 12.649577   3.1681929\n",
      "  2.7930613  7.316085  16.631536   9.067392 ]\n",
      "pSTS : 8.387842\n",
      "TP for Each Validation Subject: [ 4.697172  36.160217  30.055882   5.2198806  6.438824  17.967958\n",
      "  8.477695   4.115967   7.447843   8.537208 ]\n",
      "TP : 12.911863\n",
      "IPL for Each Validation Subject: [ 7.168785  10.129709   1.5701832  3.0162792  1.9902269  2.0931268\n",
      "  1.3405995  0.9271944  1.5938764  0.9950248]\n",
      "IPL : 3.0825005\n",
      "Nac for Each Validation Subject: [22.289179   4.2314296 39.8544     4.026374  15.993621   4.2847548\n",
      "  3.9940903 13.363129  38.524223  75.29461  ]\n",
      "Nac : 22.185581\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ACC for Each Validation Subject: [ 5.937524   2.0687933 24.319334   1.8776249  1.6366246  1.1661004\n",
      "  2.8679607  1.0771828  3.278303   1.1612724]\n",
      "ACC : 4.539072\n",
      "PreCG for Each Validation Subject: [ 3.6733224   1.5747409   2.6735415   2.2837908   1.5489407   3.2659492\n",
      " 10.307698    0.83898664  1.5043226   1.9755915 ]\n",
      "PreCG : 2.9646883\n",
      "AMY for Each Validation Subject: [ 7.030835   5.481219  95.441826   4.182704  28.656963   7.759739\n",
      "  7.322541  15.452897   5.9372683 14.378631 ]\n",
      "AMY : 19.164463\n",
      "Put for Each Validation Subject: [ 3.093854  56.49812    5.3759613  0.9445991  1.3675123  1.0986643\n",
      "  1.4666928  6.2081103  1.3840533  2.5311239]\n",
      "Put : 7.996869\n",
      "dlPFC for Each Validation Subject: [12.672821    1.884153    2.9315956   1.5447491   4.829992    1.4564549\n",
      "  2.124382    1.7229462   1.2887686   0.93452126]\n",
      "dlPFC : 3.1390386\n",
      "***Model's Final MSE(Validation) Loss between 4 ahead predicted and actual avg voxel BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "INS for Each Validation Subject: [7.9189334 1.3418657 7.0619774 1.3935064 3.7594755 1.3267707 1.3525552\n",
      " 1.5273606 2.7363613 1.9364637]\n",
      "INS : 3.0355268\n",
      "PCC for Each Validation Subject: [6.338334  1.693723  7.559859  4.9223924 1.8750781 2.454996  1.9714878\n",
      " 1.0384127 4.899371  1.1179994]\n",
      "PCC : 3.3871655\n",
      "Cau for Each Validation Subject: [26.655321   4.473175  33.60013    5.454428  20.768711   5.512592\n",
      "  4.6559215 22.313316  54.18511   67.478836 ]\n",
      "Cau : 24.509754\n",
      "mCC for Each Validation Subject: [ 7.6184144  1.6427655  6.895997  15.494793  38.161373   1.8906901\n",
      "  2.715621   4.314092   9.355717   4.0114927]\n",
      "mCC : 9.210095\n",
      "mOFC for Each Validation Subject: [10.866052   3.2644444  4.337211   2.5491571  4.014732   9.159296\n",
      "  2.4660695  2.0237248  2.723637   5.2123957]\n",
      "mOFC : 4.6616716\n",
      "l_OFC for Each Validation Subject: [14.692079   4.4835243 12.597031   2.8539176  5.3351216  2.878326\n",
      "  3.534205   1.4362501  1.6282893 11.99499  ]\n",
      "l_OFC : 6.143373\n",
      "vlPFC for Each Validation Subject: [ 2.3500187  2.141668   7.528879   2.0213163 28.706343   0.988936\n",
      "  1.315519   1.6456457  3.931676   1.856358 ]\n",
      "vlPFC : 5.248636\n",
      "dmPFC for Each Validation Subject: [11.208699   5.261997  17.410385   5.865005   1.7897046  7.814894\n",
      "  2.3717144  6.4359965  2.5183768  1.398054 ]\n",
      "dmPFC : 6.2074823\n",
      "VC for Each Validation Subject: [1.2298317 1.8808459 1.1849194 3.6742465 2.5733032 2.8269196 2.4043415\n",
      " 2.683097  1.7929988 1.3231472]\n",
      "VC : 2.157365\n",
      "mPFC for Each Validation Subject: [48.563683   6.0321355 23.1867     3.8863156 14.854922  30.242723\n",
      "  4.9913354 24.699852   3.183841  18.58364  ]\n",
      "mPFC : 17.822514\n",
      "pSTS for Each Validation Subject: [ 6.5156584  7.0196414 17.640656   1.5760268 12.653429   3.1958816\n",
      "  3.5432274  8.195493  15.9580345  9.4605465]\n",
      "pSTS : 8.57586\n",
      "TP for Each Validation Subject: [ 5.470814  38.662212  33.350418   5.71789    6.641735  20.417168\n",
      "  8.987387   5.3730383  7.740316  10.12679  ]\n",
      "TP : 14.248776\n",
      "IPL for Each Validation Subject: [6.9749007  9.855224   1.6880462  3.1575704  2.1706402  2.2556841\n",
      " 1.4798225  0.91284233 1.6636391  0.940111  ]\n",
      "IPL : 3.1098478\n",
      "Nac for Each Validation Subject: [20.968819   4.090623  36.972652   4.398656  16.250896   4.121761\n",
      "  4.0506263 13.557018  36.60092   78.82874  ]\n",
      "Nac : 21.98407\n",
      "ACC for Each Validation Subject: [ 6.155653   2.5474296 23.564646   1.9652649  2.0202236  1.0691894\n",
      "  2.9708455  1.0279776  3.8038073  1.5024511]\n",
      "ACC : 4.6627493\n",
      "PreCG for Each Validation Subject: [ 3.9471998   1.5687026   2.8167162   2.4169433   1.5650703   3.43704\n",
      " 11.190124    0.82006425  1.4769154   1.9013184 ]\n",
      "PreCG : 3.1140094\n",
      "AMY for Each Validation Subject: [ 7.605214   5.9151382 89.43575    4.058734  27.62295    8.622052\n",
      "  7.3553295 14.864612   6.065969  14.324298 ]\n",
      "AMY : 18.587004\n",
      "Put for Each Validation Subject: [ 3.259499   59.546688    5.091363    0.93455976  1.3987447   1.2004104\n",
      "  1.5742792   5.974564    1.3820369   2.59317   ]\n",
      "Put : 8.29553\n",
      "dlPFC for Each Validation Subject: [13.97945     2.03895     3.2430718   1.5541801   5.37018     1.6559963\n",
      "  2.492086    2.021677    1.3256694   0.87234163]\n",
      "dlPFC : 3.45536\n",
      "***Model's Final MSE(Validation) Loss between 5 ahead predicted and actual avg voxel BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "INS for Each Validation Subject: [17.50175    2.827485  14.448656   1.9543359  8.504828   1.6452637\n",
      "  2.305858   3.496742   6.83541    5.1964602]\n",
      "INS : 6.4716787\n",
      "PCC for Each Validation Subject: [5.7585154 1.7512845 6.908956  4.678882  1.8201412 2.5534668 1.8219565\n",
      " 1.0192238 4.708093  1.0730518]\n",
      "PCC : 3.209357\n",
      "Cau for Each Validation Subject: [28.4318     4.171614  37.58249    5.5757923 22.624268   5.1704164\n",
      "  4.1749    23.525604  61.052864  76.01321  ]\n",
      "Cau : 26.832296\n",
      "mCC for Each Validation Subject: [ 7.1623807  1.6812768  6.3891644 15.221977  34.88818    1.9320005\n",
      "  2.6626492  3.8808386  9.031875   3.5621676]\n",
      "mCC : 8.641251\n",
      "mOFC for Each Validation Subject: [9.042644  3.2643094 4.456675  2.33421   3.0993314 7.667636  2.1154468\n",
      " 2.1344829 2.5676627 4.1348786]\n",
      "mOFC : 4.081728\n",
      "l_OFC for Each Validation Subject: [14.923019   4.4024153 12.545124   2.8029532  5.534675   2.9022496\n",
      "  2.7847435  1.4179745  1.6559557 12.608364 ]\n",
      "l_OFC : 6.1577477\n",
      "vlPFC for Each Validation Subject: [ 3.4515276  3.0028543 10.686273   1.9503492 37.35617    1.3336443\n",
      "  1.82287    2.2537198  6.0944757  2.884952 ]\n",
      "vlPFC : 7.083683\n",
      "dmPFC for Each Validation Subject: [11.152381   5.280854  16.894663   6.0055223  1.7398456  7.607243\n",
      "  2.200614   6.3167887  2.552251   1.2790409]\n",
      "dmPFC : 6.10292\n",
      "VC for Each Validation Subject: [1.1335654 1.9720353 1.1659266 3.8018415 2.3640635 2.8808599 2.3204396\n",
      " 2.4946892 1.7141802 1.2093662]\n",
      "VC : 2.105697\n",
      "mPFC for Each Validation Subject: [50.1057     6.0186257 23.166668   3.8101888 14.450259  31.089987\n",
      "  4.477501  25.129759   3.3034937 18.882051 ]\n",
      "mPFC : 18.043423\n",
      "pSTS for Each Validation Subject: [ 6.6715565  7.130265  17.586987   1.7727038 12.919911   3.37003\n",
      "  3.1328437  8.269352  16.316702   9.822219 ]\n",
      "pSTS : 8.699257\n",
      "TP for Each Validation Subject: [ 5.1320014 41.485497  33.453247   6.204059   6.5514994 22.085081\n",
      "  8.65804    5.25493    7.393076  11.085205 ]\n",
      "TP : 14.730265\n",
      "IPL for Each Validation Subject: [ 7.8153934 11.125624   1.822274   3.1784427  2.072207   2.0773501\n",
      "  1.4862196  0.9413492  1.5932087  1.029437 ]\n",
      "IPL : 3.3141506\n",
      "Nac for Each Validation Subject: [22.671892   4.057919  42.495102   5.409124  16.982716   3.954521\n",
      "  3.8437142 13.874617  41.04657   92.1409   ]\n",
      "Nac : 24.647707\n",
      "ACC for Each Validation Subject: [ 7.2130084  2.9572117 26.157135   2.3170142  2.2126489  1.1146784\n",
      "  3.0459416  0.9909748  4.186737   1.5989168]\n",
      "ACC : 5.1794267\n",
      "PreCG for Each Validation Subject: [3.417013  1.5299228 2.919213  2.2637916 1.5751956 3.0536008 9.826779\n",
      " 0.835904  1.4863895 1.9942867]\n",
      "PreCG : 2.8902097\n",
      "AMY for Each Validation Subject: [ 8.077046  6.256875 86.49851   4.152851 28.039137  8.448278  7.566618\n",
      " 15.079093  6.371712 14.524677]\n",
      "AMY : 18.50148\n",
      "Put for Each Validation Subject: [ 3.820997   60.047714    6.2760754   0.97045684  1.5080557   1.1625897\n",
      "  1.7015648   7.0161943   1.4442626   3.1531336 ]\n",
      "Put : 8.710104\n",
      "dlPFC for Each Validation Subject: [12.09237     2.125373    2.881179    1.4773418   4.996731    1.4825594\n",
      "  2.2109792   1.736175    1.4267925   0.95016116]\n",
      "dlPFC : 3.1379662\n",
      "***Model's Final MSE(Validation) Loss between 6 ahead predicted and actual avg voxel BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "INS for Each Validation Subject: [18.911951   3.1560996 15.692408   1.9160743  9.190697   1.6287758\n",
      "  2.3530066  4.019928   7.7108946  5.891032 ]\n",
      "INS : 7.0470862\n",
      "PCC for Each Validation Subject: [6.922135  1.8562541 8.412458  5.240532  1.8576319 2.3976924 1.9509463\n",
      " 1.1184268 5.356855  1.1103172]\n",
      "PCC : 3.6223247\n",
      "Cau for Each Validation Subject: [23.422173   3.6582217 30.858637   4.809878  18.763208   4.949231\n",
      "  4.0648813 19.716557  49.314693  60.028763 ]\n",
      "Cau : 21.958624\n",
      "mCC for Each Validation Subject: [ 8.211544   1.7213161  7.466132  16.240036  39.86251    1.7906064\n",
      "  2.4844425  4.7499385 10.008267   4.320545 ]\n",
      "mCC : 9.6855345\n",
      "mOFC for Each Validation Subject: [9.551482  3.2815092 5.0053744 2.7499666 3.4343858 8.255056  2.3765266\n",
      " 2.1629696 2.8299117 4.246689 ]\n",
      "mOFC : 4.389387\n",
      "l_OFC for Each Validation Subject: [15.068142   4.3029804 12.909206   2.977932   5.8995285  3.030406\n",
      "  3.1408803  1.4564942  1.7210968 12.603329 ]\n",
      "l_OFC : 6.311\n",
      "vlPFC for Each Validation Subject: [ 2.8072762  2.782196   8.687172   1.9392203 29.78622    1.0634303\n",
      "  1.6287675  1.9540645  4.7452483  2.3505898]\n",
      "vlPFC : 5.7744184\n",
      "dmPFC for Each Validation Subject: [10.135215   4.867711  16.01736    5.664155   1.7594961  6.686273\n",
      "  2.1181343  5.7229104  2.5589871  1.4283305]\n",
      "dmPFC : 5.695857\n",
      "VC for Each Validation Subject: [1.1484764 2.056806  1.2883838 3.87064   2.299883  2.996712  2.3254523\n",
      " 2.484014  1.6875036 1.1465702]\n",
      "VC : 2.130444\n",
      "mPFC for Each Validation Subject: [50.262123   6.0208893 23.217628   3.7923863 14.590856  31.600159\n",
      "  4.520289  24.95455    2.966574  18.538763 ]\n",
      "mPFC : 18.046421\n",
      "pSTS for Each Validation Subject: [ 6.6113625  7.1980157 18.028925   2.0287645 13.066615   3.2606988\n",
      "  3.0262337  8.217884  16.545311   9.945419 ]\n",
      "pSTS : 8.792923\n",
      "TP for Each Validation Subject: [ 5.6617136 45.133255  36.056896   6.596925   6.7456613 23.938513\n",
      "  9.889188   4.9592066  7.449629  12.071304 ]\n",
      "TP : 15.850229\n",
      "IPL for Each Validation Subject: [ 7.107285  10.47893    1.9839871  3.2285056  2.2441761  2.4223728\n",
      "  1.6644647  1.0810555  1.8099241  1.0883898]\n",
      "IPL : 3.3109093\n",
      "Nac for Each Validation Subject: [18.871502   4.0206423 35.016487   4.436437  14.034471   3.7079563\n",
      "  3.6739335 11.482562  34.22596   72.67575  ]\n",
      "Nac : 20.21457\n",
      "ACC for Each Validation Subject: [ 7.7181664  3.0978713 25.46187    2.4461312  2.2750723  1.1079156\n",
      "  2.893071   1.087644   4.7197356  1.714186 ]\n",
      "ACC : 5.252166\n",
      "PreCG for Each Validation Subject: [ 4.3366857  1.7144839  3.0538473  2.8705044  1.6328558  3.8975375\n",
      " 10.640939   1.0896537  1.5674955  1.9355808]\n",
      "PreCG : 3.2739582\n",
      "AMY for Each Validation Subject: [ 9.531868   6.697823  93.80554    4.2016735 31.615202  10.007462\n",
      "  7.354188  17.383615   7.548524  17.073612 ]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AMY : 20.521952\n",
      "Put for Each Validation Subject: [ 4.0082088 60.94116    6.05125    1.0396683  1.3295014  1.1524792\n",
      "  1.6638703  6.7213206  1.3451788  3.2643726]\n",
      "Put : 8.7517\n",
      "dlPFC for Each Validation Subject: [11.731856   2.1334124  3.1794338  1.5550493  4.7767987  1.5791719\n",
      "  2.210734   1.8423617  1.38389    0.7880352]\n",
      "dlPFC : 3.1180744\n",
      "***Model's Final MSE(Validation) Loss between 7 ahead predicted and actual avg voxel BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "INS for Each Validation Subject: [8.347607  1.5130423 7.7228856 1.2899765 4.0554266 1.186251  1.3836524\n",
      " 1.6006513 3.1265028 2.3621287]\n",
      "INS : 3.2588127\n",
      "PCC for Each Validation Subject: [6.348126  1.8438493 7.6958694 5.0562124 1.7593445 2.4435823 1.8312124\n",
      " 1.0842824 4.771288  1.1205461]\n",
      "PCC : 3.395431\n",
      "Cau for Each Validation Subject: [25.946913   4.177254  34.390415   5.4727583 19.826134   4.7753835\n",
      "  4.0593643 21.867031  55.900906  69.33641  ]\n",
      "Cau : 24.575258\n",
      "mCC for Each Validation Subject: [ 6.9443836  1.7584128  6.0360336 15.208964  34.675426   1.7990822\n",
      "  2.4058542  3.6659184  8.769152   3.3805878]\n",
      "mCC : 8.464381\n",
      "mOFC for Each Validation Subject: [8.990602  3.2755282 4.8740044 2.799869  3.165675  8.308444  2.2119904\n",
      " 2.062995  2.978833  4.2425933]\n",
      "mOFC : 4.291053\n",
      "l_OFC for Each Validation Subject: [16.212177   4.510514  13.707869   2.9866219  6.2029033  3.0004394\n",
      "  3.249094   1.4824041  1.5938661 13.731315 ]\n",
      "l_OFC : 6.66772\n",
      "vlPFC for Each Validation Subject: [ 3.0760093  2.924617   9.927274   1.8960904 36.37072    1.2830881\n",
      "  1.719097   2.0179243  5.192546   2.6465392]\n",
      "vlPFC : 6.70539\n",
      "dmPFC for Each Validation Subject: [11.185649   5.163158  16.49864    6.0209317  1.9153862  7.3594284\n",
      "  2.19363    6.3193088  2.7147534  1.5273324]\n",
      "dmPFC : 6.089822\n",
      "VC for Each Validation Subject: [1.0507702 1.9986329 1.299927  3.5248194 2.086814  2.6523838 2.0311327\n",
      " 2.2187629 1.5321074 1.0952027]\n",
      "VC : 1.9490554\n",
      "mPFC for Each Validation Subject: [49.231388   5.0856853 22.483469   3.8467083 12.908711  30.806803\n",
      "  3.6622798 24.5161     2.8839688 17.579947 ]\n",
      "mPFC : 17.300505\n",
      "pSTS for Each Validation Subject: [ 5.7309413  6.5717707 14.508601   2.0732834 10.872352   3.4178894\n",
      "  2.8436162  7.1559496 13.529927   8.174751 ]\n",
      "pSTS : 7.4879084\n",
      "TP for Each Validation Subject: [ 5.156158  41.284588  35.210773   5.822962   6.053841  21.37324\n",
      "  8.649429   5.0623746  7.1317997 10.175447 ]\n",
      "TP : 14.592062\n",
      "IPL for Each Validation Subject: [ 6.8257146 10.019873   1.9843295  3.3457386  2.2186186  2.4767365\n",
      "  1.5684208  1.0619491  1.8137697  1.0677564]\n",
      "IPL : 3.2382908\n",
      "Nac for Each Validation Subject: [21.753311   4.336201  40.62991    5.5410924 15.88804    3.6135805\n",
      "  3.7203605 13.863075  40.27878   89.28917  ]\n",
      "Nac : 23.891352\n",
      "ACC for Each Validation Subject: [ 7.4408164  3.118728  25.542467   2.5890336  2.254309   1.0296172\n",
      "  2.859589   1.0589843  4.4391184  1.7445128]\n",
      "ACC : 5.2077174\n",
      "PreCG for Each Validation Subject: [ 3.9559474  1.750885   2.843782   2.646326   1.6184204  3.520072\n",
      " 10.038137   0.9443884  1.486776   1.8851997]\n",
      "PreCG : 3.0689936\n",
      "AMY for Each Validation Subject: [ 9.761581  6.742071 83.64043   4.702626 30.342033  9.918629  7.812432\n",
      " 16.839075  7.013853 16.366268]\n",
      "AMY : 19.3139\n",
      "Put for Each Validation Subject: [ 3.6192088 60.861816   5.6821275  1.0309545  1.3522347  1.1599368\n",
      "  1.7125573  6.4777017  1.3218415  2.8708868]\n",
      "Put : 8.608927\n",
      "dlPFC for Each Validation Subject: [9.424579   1.8754352  2.3678231  1.605239   3.8269982  1.0591861\n",
      " 1.4471188  1.2805322  1.3729045  0.69490993]\n",
      "dlPFC : 2.4954724\n",
      "***Model's Final MSE(Validation) Loss between 8 ahead predicted and actual avg voxel BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "INS for Each Validation Subject: [9.856861  1.7785175 8.7858715 1.3231363 4.658144  1.2402599 1.6820234\n",
      " 1.9779068 3.8724346 2.9280434]\n",
      "INS : 3.81032\n",
      "PCC for Each Validation Subject: [7.571916  2.0497673 8.8315    5.8410807 1.9993459 2.5465405 1.9435028\n",
      " 1.1581999 5.646853  1.2830782]\n",
      "PCC : 3.8871784\n",
      "Cau for Each Validation Subject: [21.092783   3.7217681 28.285858   4.1871753 15.820366   4.4982243\n",
      "  3.7935927 17.251764  44.692486  56.361774 ]\n",
      "Cau : 19.970577\n",
      "mCC for Each Validation Subject: [ 7.8228536  1.7540112  6.8373475 16.510464  39.23901    2.0441134\n",
      "  2.6010811  4.1367087  9.512202   4.1231055]\n",
      "mCC : 9.45809\n",
      "mOFC for Each Validation Subject: [7.592314  3.5860543 5.1503863 2.8833876 3.0819066 7.1154017 2.3149664\n",
      " 2.1810482 3.090575  3.7864854]\n",
      "mOFC : 4.0782523\n",
      "l_OFC for Each Validation Subject: [13.240688   4.9482455 11.277883   2.699699   4.9347405  2.88293\n",
      "  2.8471842  1.6870434  1.5207267 11.163815 ]\n",
      "l_OFC : 5.7202954\n",
      "vlPFC for Each Validation Subject: [ 2.6041398  2.8831236  8.994969   1.8418329 31.703196   1.1793532\n",
      "  1.6105573  1.7481245  4.7165837  2.2505949]\n",
      "vlPFC : 5.9532475\n",
      "dmPFC for Each Validation Subject: [ 8.36259    3.955234  12.970098   4.794103   1.8568001  5.4276767\n",
      "  1.6599884  4.6825204  2.6057565  1.3839589]\n",
      "dmPFC : 4.769872\n",
      "VC for Each Validation Subject: [1.4116646 2.2461314 1.4096545 4.0821657 2.6321435 3.264006  2.5562284\n",
      " 2.777178  1.9539431 1.5352551]\n",
      "VC : 2.3868372\n",
      "mPFC for Each Validation Subject: [44.60416    4.354178  20.253506   3.9481285 11.94284   28.183077\n",
      "  3.2509565 22.239075   2.5102189 15.811749 ]\n",
      "mPFC : 15.70979\n",
      "pSTS for Each Validation Subject: [ 6.070572   6.8995547 16.143505   2.2719321 11.420049   3.5305142\n",
      "  2.7228234  7.5524864 15.160297   8.8983   ]\n",
      "pSTS : 8.067003\n",
      "TP for Each Validation Subject: [ 5.6869025 42.18079   34.828697   7.3267345  6.7588453 21.923513\n",
      " 10.040734   5.233872   7.422456  11.988531 ]\n",
      "TP : 15.339107\n",
      "IPL for Each Validation Subject: [ 7.2401342  10.366027    2.1801789   2.7534306   1.7800823   2.0868676\n",
      "  1.3054758   0.92761666  1.4262359   1.0989432 ]\n",
      "IPL : 3.1164992\n",
      "Nac for Each Validation Subject: [17.445278   4.232731  33.839386   4.3281617 12.274495   3.3013692\n",
      "  3.820273  10.18943   32.886265  73.690765 ]\n",
      "Nac : 19.600815\n",
      "ACC for Each Validation Subject: [ 6.198998   2.426698  22.993147   2.0865812  1.777149   1.163582\n",
      "  2.9269075  1.1863066  3.475837   1.3175132]\n",
      "ACC : 4.5552716\n",
      "PreCG for Each Validation Subject: [3.838336   1.8774694  3.0096848  2.532254   1.673743   3.4797263\n",
      " 9.976416   0.99926305 1.5084796  1.9006233 ]\n",
      "PreCG : 3.0795994\n",
      "AMY for Each Validation Subject: [ 8.865492   7.144913  67.03651    4.652687  27.307041   8.215152\n",
      "  8.2658205 13.91761    5.986072  13.558458 ]\n",
      "AMY : 16.494976\n",
      "Put for Each Validation Subject: [ 3.784641  63.353786   5.961214   0.9243045  1.321991   1.0459454\n",
      "  1.5156534  6.8798556  1.2837439  3.0393229]\n",
      "Put : 8.911046\n",
      "dlPFC for Each Validation Subject: [11.132123   1.7493268  2.3598258  1.6253592  3.9249525  1.0572505\n",
      "  1.4327505  1.218737   1.4419558  0.6967287]\n",
      "dlPFC : 2.6639009\n",
      "***Model's Final MSE(Validation) Loss between 9 ahead predicted and actual avg voxel BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "INS for Each Validation Subject: [13.470698   2.5244315 11.216265   1.6033502  6.5057354  1.4049935\n",
      "  2.1218283  3.0727649  5.5711174  4.2527137]\n",
      "INS : 5.17439\n",
      "PCC for Each Validation Subject: [6.890064  2.1411877 7.996318  5.6884894 2.1368778 2.4538915 1.9857639\n",
      " 1.2846757 5.091313  1.3794388]\n",
      "PCC : 3.704802\n",
      "Cau for Each Validation Subject: [23.483215   3.999604  31.915321   5.380669  17.877346   4.3018365\n",
      "  4.0298705 19.805502  49.438606  59.848255 ]\n",
      "Cau : 22.008022\n",
      "mCC for Each Validation Subject: [ 7.688001   1.8756955  6.2292523 15.379921  34.532223   1.9981039\n",
      "  2.816155   4.0209413  9.1009865  3.9004958]\n",
      "mCC : 8.754178\n",
      "mOFC for Each Validation Subject: [8.674394  3.4477167 5.1322713 3.0698254 3.7187018 8.629466  2.0414548\n",
      " 2.104076  3.2560048 4.6382737]\n",
      "mOFC : 4.4712186\n",
      "l_OFC for Each Validation Subject: [13.581191   4.993425  11.739509   2.9818895  5.0890145  2.7613354\n",
      "  3.179826   1.5267477  1.5044656 11.794067 ]\n",
      "l_OFC : 5.915147\n",
      "vlPFC for Each Validation Subject: [ 2.3790214   2.7402172   8.020897    1.7806765  29.450893    0.97289795\n",
      "  1.4704068   1.5436368   4.17908     1.9729645 ]\n",
      "vlPFC : 5.45107\n",
      "dmPFC for Each Validation Subject: [ 7.427009   3.8445754 11.459386   4.730053   1.8603777  5.2356567\n",
      "  1.6932344  4.5336766  2.6602151  1.3150021]\n",
      "dmPFC : 4.4759183\n",
      "VC for Each Validation Subject: [1.4727795 2.2296565 1.361034  3.6152818 2.588789  2.9472816 2.2745988\n",
      " 2.6197233 1.8773409 1.5881245]\n",
      "VC : 2.257461\n",
      "mPFC for Each Validation Subject: [46.722084   5.7354302 22.6166     3.9862225 13.916157  29.273363\n",
      "  4.259324  23.350239   2.43791   17.56629  ]\n",
      "mPFC : 16.986362\n",
      "pSTS for Each Validation Subject: [ 5.609248   6.4009824 14.298568   2.3892708 10.355863   3.4498544\n",
      "  2.5691128  6.934037  13.857041   7.933715 ]\n",
      "pSTS : 7.37977\n",
      "TP for Each Validation Subject: [ 6.159085  44.396088  36.79689    7.664275   7.3312902 22.56912\n",
      "  9.824658   5.0056934  7.909065  11.0165615]\n",
      "TP : 15.867271\n",
      "IPL for Each Validation Subject: [6.979905  9.878335  2.2197104 3.343676  2.179207  2.545595  1.5506628\n",
      " 1.1335253 1.7799146 1.1318177]\n",
      "IPL : 3.2742348\n",
      "Nac for Each Validation Subject: [18.881836   4.478593  35.264225   5.1112285 13.920975   3.0414686\n",
      "  3.811203  11.776541  34.472073  73.92539  ]\n",
      "Nac : 20.468353\n",
      "ACC for Each Validation Subject: [ 6.162671   2.454683  22.046663   2.2490973  1.8489946  1.1231397\n",
      "  2.9077244  1.2309453  3.5667796  1.3551759]\n",
      "ACC : 4.494588\n",
      "PreCG for Each Validation Subject: [3.96679   1.9406166 3.0659907 2.6490352 1.6568832 3.6410916 9.470002\n",
      " 1.0815586 1.5168264 1.8667926]\n",
      "PreCG : 3.0855587\n",
      "AMY for Each Validation Subject: [10.635398   7.753071  76.83186    5.2946773 27.353956   9.812285\n",
      "  8.397674  15.310954   7.5410237 15.163747 ]\n",
      "AMY : 18.409466\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Put for Each Validation Subject: [ 3.5814352 60.72505    5.4864435  1.0107753  1.2990245  1.1554474\n",
      "  1.6569158  6.419221   1.417799   2.9222867]\n",
      "Put : 8.567441\n",
      "dlPFC for Each Validation Subject: [16.771624   2.3499298  3.8981411  1.5802131  6.281318   2.1093705\n",
      "  2.8681476  2.4378607  1.4975742  0.8411357]\n",
      "dlPFC : 4.0635314\n",
      "***Model's Final MSE(Validation) Loss between 10 ahead predicted and actual avg voxel BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "INS for Each Validation Subject: [10.35905    1.7963552  8.819451   1.3784285  4.863301   1.2271101\n",
      "  1.6699584  2.1173716  3.9357371  2.8820016]\n",
      "INS : 3.9048762\n",
      "PCC for Each Validation Subject: [6.8717422 2.1442783 7.8255434 5.7562356 2.1058376 2.4771807 1.8577372\n",
      " 1.2670587 5.3948803 1.2890964]\n",
      "PCC : 3.6989589\n",
      "Cau for Each Validation Subject: [22.88773    3.8541675 31.40586    4.6234517 17.527739   4.558461\n",
      "  4.1003194 18.871792  49.878414  60.73816  ]\n",
      "Cau : 21.844608\n",
      "mCC for Each Validation Subject: [ 6.784838   1.6546874  5.655498  15.513452  36.783096   1.8268108\n",
      "  2.6197777  3.5292058  8.417772   3.13319  ]\n",
      "mCC : 8.591833\n",
      "mOFC for Each Validation Subject: [8.179528  3.963698  5.4182453 3.290083  3.7038617 8.140659  2.1980884\n",
      " 2.2015634 3.4832368 4.286213 ]\n",
      "mOFC : 4.486518\n",
      "l_OFC for Each Validation Subject: [12.3552885  5.262501  10.19544    2.8897755  4.755649   2.6793401\n",
      "  3.0554144  1.6138991  1.4870794 10.52834  ]\n",
      "l_OFC : 5.4822726\n",
      "vlPFC for Each Validation Subject: [ 2.6513739  2.7582347  9.059192   1.8457757 33.742023   1.0872359\n",
      "  1.5170345  1.7159834  4.747153   2.2210724]\n",
      "vlPFC : 6.1345077\n",
      "dmPFC for Each Validation Subject: [ 8.939375   4.2667885 13.924706   5.469873   2.0833502  5.968725\n",
      "  1.8064731  5.3713574  2.9978101  1.5840665]\n",
      "dmPFC : 5.241253\n",
      "VC for Each Validation Subject: [1.2153182 1.9156518 1.3832511 3.6755915 2.3262768 2.8517032 2.1424565\n",
      " 2.5175443 1.6467777 1.3139913]\n",
      "VC : 2.0988564\n",
      "mPFC for Each Validation Subject: [42.58156    5.1224484 21.241432   4.4350543 13.383444  27.481392\n",
      "  3.7152092 22.198275   2.8210409 16.101784 ]\n",
      "mPFC : 15.908163\n",
      "pSTS for Each Validation Subject: [ 5.8043437  6.211375  15.695976   2.2337315 10.904325   3.8130324\n",
      "  2.730783   7.1209755 15.3144865  8.275384 ]\n",
      "pSTS : 7.810441\n",
      "TP for Each Validation Subject: [ 5.7970862 35.665813  31.276955   7.2302136  6.847319  18.33041\n",
      " 10.208722   5.05573    7.3773346  9.153838 ]\n",
      "TP : 13.694342\n",
      "IPL for Each Validation Subject: [6.830052  9.072393  2.3032305 3.0336075 1.9949418 1.8877246 1.3895241\n",
      " 1.016059  1.4934692 1.1853995]\n",
      "IPL : 3.0206401\n",
      "Nac for Each Validation Subject: [18.71394    4.36134   35.567146   4.7771707 14.020313   3.2744746\n",
      "  3.949996  11.130003  34.88055   77.37226  ]\n",
      "Nac : 20.804722\n",
      "ACC for Each Validation Subject: [ 6.5018206  2.370665  24.851862   2.2982237  1.7946029  1.1467297\n",
      "  3.0620756  1.2174324  3.5394335  1.262029 ]\n",
      "ACC : 4.804487\n",
      "PreCG for Each Validation Subject: [3.6606762 1.8810691 3.1829908 2.518546  1.7056277 2.9232502 9.029909\n",
      " 0.9983574 1.5406286 1.9620275]\n",
      "PreCG : 2.9403083\n",
      "AMY for Each Validation Subject: [10.079745   8.390852  66.900215   6.3671885 25.254465   8.213166\n",
      "  9.534833  14.215841   6.681272  13.535088 ]\n",
      "AMY : 16.917267\n",
      "Put for Each Validation Subject: [ 3.6854138 62.99368    5.72999    0.9346934  1.2529483  1.119414\n",
      "  1.5944711  6.445757   1.3280582  3.028219 ]\n",
      "Put : 8.811264\n",
      "dlPFC for Each Validation Subject: [15.994531   1.8388166  3.265362   1.611148   5.576707   1.372858\n",
      "  2.2051256  1.8741531  1.3945717  0.6789252]\n",
      "dlPFC : 3.58122\n",
      "***Model's Final MSE(Validation) Loss between 11 ahead predicted and actual avg voxel BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "INS for Each Validation Subject: [13.652521   2.3934216 11.195646   1.607353   6.4240365  1.392309\n",
      "  2.1082754  3.0774996  5.5203743  4.285533 ]\n",
      "INS : 5.165697\n",
      "PCC for Each Validation Subject: [6.946215  2.231168  8.059339  5.522624  2.1016312 2.5170536 1.8916539\n",
      " 1.435489  5.413164  1.3310909]\n",
      "PCC : 3.7449431\n",
      "Cau for Each Validation Subject: [22.817213   4.113076  30.13856    4.8301687 17.753845   5.028114\n",
      "  4.1233397 18.755676  50.341053  63.211365 ]\n",
      "Cau : 22.11124\n",
      "mCC for Each Validation Subject: [ 6.619699   1.8375573  5.4988356 13.873996  31.605927   1.9893892\n",
      "  2.8144877  3.4408543  8.224655   3.2802505]\n",
      "mCC : 7.918565\n",
      "mOFC for Each Validation Subject: [8.541684  3.7485478 5.6227136 3.3732862 3.4315076 8.287684  2.3496203\n",
      " 2.1579294 3.5617845 4.162267 ]\n",
      "mOFC : 4.523702\n",
      "l_OFC for Each Validation Subject: [11.823444   5.0970917 10.265245   2.86097    4.8599243  2.6729858\n",
      "  2.8444893  1.8748529  1.607601  10.638305 ]\n",
      "l_OFC : 5.454491\n",
      "vlPFC for Each Validation Subject: [ 2.824792   2.87858    8.702822   1.8727652 28.31994    1.2276478\n",
      "  1.8885971  1.8720577  4.762609   2.392949 ]\n",
      "vlPFC : 5.674276\n",
      "dmPFC for Each Validation Subject: [ 8.749147   3.9106536 13.3174925  5.6456122  1.9912264  5.7687235\n",
      "  1.9104022  5.334782   2.867247   1.6278467]\n",
      "dmPFC : 5.1123133\n",
      "VC for Each Validation Subject: [1.1323702 1.6825954 1.4585031 3.3183641 2.0411446 2.4423618 1.9018589\n",
      " 2.1996317 1.5451751 1.1580466]\n",
      "VC : 1.8880053\n",
      "mPFC for Each Validation Subject: [39.330082   4.8823643 20.138218   5.284754  12.74241   25.614765\n",
      "  3.4392455 20.514034   2.8334513 14.995246 ]\n",
      "mPFC : 14.977457\n",
      "pSTS for Each Validation Subject: [ 5.332724   5.574393  13.540793   2.5235178  9.607092   3.588688\n",
      "  2.7670045  6.6245522 12.962033   7.195896 ]\n",
      "pSTS : 6.971669\n",
      "TP for Each Validation Subject: [ 6.8538957 36.827076  31.223227   8.721904   6.9399867 18.622602\n",
      " 10.399644   4.7377005  7.062544   9.032246 ]\n",
      "TP : 14.042082\n",
      "IPL for Each Validation Subject: [5.5154557 7.332588  2.5170813 3.093774  2.257136  2.0525553 1.5255721\n",
      " 1.1495818 1.6905041 1.3226274]\n",
      "IPL : 2.8456876\n",
      "Nac for Each Validation Subject: [19.360178   4.433528  35.198906   5.079964  14.867665   3.7599473\n",
      "  3.8757987 11.376602  36.08779   81.780495 ]\n",
      "Nac : 21.582087\n",
      "ACC for Each Validation Subject: [ 5.6846576  2.3145664 21.127352   2.5992656  1.6958042  1.2745631\n",
      "  3.2031329  1.358918   3.341588   1.2574395]\n",
      "ACC : 4.3857284\n",
      "PreCG for Each Validation Subject: [3.5722907 1.9984151 3.306239  2.573197  1.8579601 2.9505374 8.428783\n",
      " 1.0218675 1.6688668 2.012414 ]\n",
      "PreCG : 2.939057\n",
      "AMY for Each Validation Subject: [10.35267    8.659051  50.78847    7.132712  22.68543    8.599269\n",
      " 10.164406  13.474696   7.1098633 13.081481 ]\n",
      "AMY : 15.204805\n",
      "Put for Each Validation Subject: [ 3.50966   61.849243   5.5941377  1.0176396  1.3884898  1.293639\n",
      "  1.5894713  6.259719   1.3921837  3.1023004]\n",
      "Put : 8.699648\n",
      "dlPFC for Each Validation Subject: [14.634355   1.8952558  3.5076473  1.6410224  5.5137105  1.474308\n",
      "  2.400718   2.1000657  1.4732971  0.8132763]\n",
      "dlPFC : 3.5453658\n",
      "***Model's Final MSE(Validation) Loss between 12 ahead predicted and actual avg voxel BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "INS for Each Validation Subject: [14.304727   2.2041566 11.9712     1.7067509  6.7582803  1.459763\n",
      "  2.0969434  3.1255577  5.7436705  4.3704457]\n",
      "INS : 5.3741493\n",
      "PCC for Each Validation Subject: [6.665893  2.2008054 7.786419  4.251199  1.9707797 2.4541805 1.9200053\n",
      " 1.4196616 5.0456038 1.1788194]\n",
      "PCC : 3.4893365\n",
      "Cau for Each Validation Subject: [24.95707    4.1278863 34.31885    5.500276  19.133287   4.868796\n",
      "  4.1939316 21.194052  56.527096  67.60948  ]\n",
      "Cau : 24.243073\n",
      "mCC for Each Validation Subject: [ 6.615205   1.7813059  5.646035  13.223475  34.527447   1.9500268\n",
      "  2.8728614  3.4664385  8.632416   3.2570052]\n",
      "mCC : 8.197222\n",
      "mOFC for Each Validation Subject: [9.350675  3.7921522 5.3802567 3.2228177 4.026483  9.281549  2.1593206\n",
      " 2.238738  3.7783473 4.5896697]\n",
      "mOFC : 4.782001\n",
      "l_OFC for Each Validation Subject: [11.937334   5.0463586 10.164836   3.1295195  5.0656285  3.0738423\n",
      "  3.0892148  1.6545388  1.7343723 10.603308 ]\n",
      "l_OFC : 5.549895\n",
      "vlPFC for Each Validation Subject: [ 2.407202    2.383959    8.815553    2.1792479  36.174603    0.94597286\n",
      "  1.5404686   1.5133315   4.416221    2.0211012 ]\n",
      "vlPFC : 6.239766\n",
      "dmPFC for Each Validation Subject: [10.398162   4.367353  15.460091   4.7256026  2.0420065  7.0600076\n",
      "  2.307394   6.3052597  2.867441   1.2597895]\n",
      "dmPFC : 5.679311\n",
      "VC for Each Validation Subject: [1.2734909 1.5614562 1.4803858 3.6220973 2.3741224 2.855437  2.221135\n",
      " 2.6261172 1.784284  1.3279107]\n",
      "VC : 2.1126437\n",
      "mPFC for Each Validation Subject: [47.47844    6.2327724 23.136778   4.217845  16.176832  29.897905\n",
      "  4.688537  23.800999   2.7858927 18.123522 ]\n",
      "mPFC : 17.65395\n",
      "pSTS for Each Validation Subject: [ 6.6353574  6.791944  15.701326   2.2378068 11.479815   3.5777395\n",
      "  3.13438    8.27338   14.737602   8.91568  ]\n",
      "pSTS : 8.148503\n",
      "TP for Each Validation Subject: [ 7.0002704 44.922718  37.72041    8.981844   7.778925  24.068\n",
      " 10.260887   5.342305   7.8174076 11.830161 ]\n",
      "TP : 16.572292\n",
      "IPL for Each Validation Subject: [6.26549   7.8105087 2.3186529 2.9481492 2.2852206 2.082403  1.5355388\n",
      " 1.1418041 1.7136438 1.213297 ]\n",
      "IPL : 2.9314706\n",
      "Nac for Each Validation Subject: [19.922241   4.6294785 37.812332   5.538613  15.365816   3.7413185\n",
      "  3.821087  12.661191  38.806473  83.622856 ]\n",
      "Nac : 22.592142\n",
      "ACC for Each Validation Subject: [ 7.2088437  2.8490455 24.979343   2.17071    2.3471792  1.1196183\n",
      "  3.2337756  1.1948562  4.8320856  1.7520745]\n",
      "ACC : 5.168753\n",
      "PreCG for Each Validation Subject: [ 4.4925065  1.8056661  3.110748   2.643474   1.6976914  3.747622\n",
      " 10.505012   1.2523671  1.5093852  1.9532957]\n",
      "PreCG : 3.271777\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AMY for Each Validation Subject: [10.267006   8.598151  48.5623     7.147792  21.944149   8.073567\n",
      " 10.135893  13.3016615  7.291447  12.817578 ]\n",
      "AMY : 14.813954\n",
      "Put for Each Validation Subject: [ 3.4267824  65.719765    5.7680798   0.84456533  1.2946253   1.194726\n",
      "  1.5028849   6.052867    1.338667    2.7849917 ]\n",
      "Put : 8.992796\n",
      "dlPFC for Each Validation Subject: [14.464469    1.9311525   3.6607943   1.8380327   5.74091     1.6261526\n",
      "  2.4557042   2.2697368   1.5343349   0.78758246]\n",
      "dlPFC : 3.6308873\n",
      "***Model's Final MSE(Validation) Loss between 13 ahead predicted and actual avg voxel BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "INS for Each Validation Subject: [14.646917   2.3559961 11.989004   1.861372   6.9267044  1.4361336\n",
      "  2.2714493  3.3617249  5.9680595  4.524016 ]\n",
      "INS : 5.534138\n",
      "PCC for Each Validation Subject: [7.8136153 2.0623002 8.845497  5.036454  2.363464  2.2537007 2.269857\n",
      " 1.3657393 6.132386  1.4971251]\n",
      "PCC : 3.9640136\n",
      "Cau for Each Validation Subject: [26.72274    4.0600886 35.585823   4.7502546 19.279404   4.616852\n",
      "  4.0468516 21.990183  58.83186   72.76509  ]\n",
      "Cau : 25.264915\n",
      "mCC for Each Validation Subject: [ 7.5682535  1.937895   6.6070585 14.529326  40.539284   1.8040167\n",
      "  2.778064   4.137892   9.8231735  4.0145073]\n",
      "mCC : 9.373947\n",
      "mOFC for Each Validation Subject: [10.132873   3.965594   5.8308845  3.5772636  4.927385  10.735105\n",
      "  2.3382344  2.2208443  4.2894163  5.4187455]\n",
      "mOFC : 5.3436346\n",
      "l_OFC for Each Validation Subject: [11.859546   5.41745   10.362722   3.1072676  4.93023    2.7030642\n",
      "  3.0163734  1.7073143  1.550898  10.898837 ]\n",
      "l_OFC : 5.5553703\n",
      "vlPFC for Each Validation Subject: [ 2.1449683  2.1748319  8.211883   2.2699807 33.250652   0.9477366\n",
      "  1.477178   1.3768401  4.0466423  1.8148619]\n",
      "vlPFC : 5.7715573\n",
      "dmPFC for Each Validation Subject: [11.173927   4.808704  16.108221   5.0666122  2.2388318  7.9001784\n",
      "  2.326615   6.812997   3.0653076  1.3873107]\n",
      "dmPFC : 6.08887\n",
      "VC for Each Validation Subject: [1.1974646 1.3123811 1.5261462 3.2883239 2.2496614 2.6752818 2.0496507\n",
      " 2.4350224 1.6814516 1.1993343]\n",
      "VC : 1.9614719\n",
      "mPFC for Each Validation Subject: [47.290646   5.2763486 23.694376   3.948938  15.14674   31.472338\n",
      "  3.9858718 24.803894   2.6386912 18.184404 ]\n",
      "mPFC : 17.644224\n",
      "pSTS for Each Validation Subject: [ 7.1066923  7.0422363 16.837719   2.2922914 12.305748   3.543335\n",
      "  3.393862   8.701002  16.33349    9.860519 ]\n",
      "pSTS : 8.74169\n",
      "TP for Each Validation Subject: [ 6.8651547 42.205452  36.430893   8.730507   7.1349864 21.522924\n",
      " 11.031192   5.4405093  7.727816  10.691536 ]\n",
      "TP : 15.778097\n",
      "IPL for Each Validation Subject: [5.7249746 7.4777784 2.3423347 2.3524852 1.990288  1.8903152 1.4233185\n",
      " 1.1395016 1.4602557 1.0589203]\n",
      "IPL : 2.6860173\n",
      "Nac for Each Validation Subject: [23.419115   4.6678123 43.435913   5.3683524 16.209513   3.4742224\n",
      "  3.8576515 13.705772  43.171455  96.27011  ]\n",
      "Nac : 25.357992\n",
      "ACC for Each Validation Subject: [ 7.665397   2.877465  26.80931    2.131577   2.3485284  1.0229894\n",
      "  3.2136884  1.1225201  4.7777405  1.736159 ]\n",
      "ACC : 5.3705378\n",
      "PreCG for Each Validation Subject: [ 4.496184   1.8771942  3.075697   2.4314291  1.7409513  3.7659032\n",
      " 11.488253   1.205389   1.5563511  1.9119399]\n",
      "PreCG : 3.3549294\n",
      "AMY for Each Validation Subject: [ 9.728764   8.694664  50.04735    7.4146676 23.721426   7.4203973\n",
      " 10.182178  13.537865   6.6235147 12.474902 ]\n",
      "AMY : 14.984573\n",
      "Put for Each Validation Subject: [ 3.722142  64.10592    6.0842195  0.8702445  1.2583643  1.1475654\n",
      "  1.5229888  7.4285965  1.3076487  3.0862997]\n",
      "Put : 9.053399\n",
      "dlPFC for Each Validation Subject: [13.106463    1.6123012   3.3999388   1.9868969   5.2760673   1.5126361\n",
      "  2.2874608   1.9585136   1.5317054   0.81628484]\n",
      "dlPFC : 3.3488266\n",
      "***Model's Final MSE(Validation) Loss between 14 ahead predicted and actual avg voxel BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "INS for Each Validation Subject: [11.639306   2.0488966 10.097022   1.6655383  5.512971   1.3493447\n",
      "  2.2507353  2.9027998  4.887049   3.7641497]\n",
      "INS : 4.611781\n",
      "PCC for Each Validation Subject: [7.475473  2.0180802 8.686561  4.5029764 2.0777884 2.4479885 1.9543854\n",
      " 1.2490256 5.6535664 1.3318822]\n",
      "PCC : 3.7397723\n",
      "Cau for Each Validation Subject: [26.162971   3.861589  34.70163    4.977248  19.769367   4.9665837\n",
      "  4.007691  21.406414  56.73631   70.80261  ]\n",
      "Cau : 24.73924\n",
      "mCC for Each Validation Subject: [ 6.8264174  1.5559138  6.1301856 14.922539  36.899162   1.8998308\n",
      "  2.8928661  3.238025   9.474217   3.422622 ]\n",
      "mCC : 8.726178\n",
      "mOFC for Each Validation Subject: [8.406894  3.9690065 5.5929637 3.2842476 3.829175  8.647821  2.0961764\n",
      " 2.2239676 4.338002  4.239735 ]\n",
      "mOFC : 4.662799\n",
      "l_OFC for Each Validation Subject: [10.565701   5.3042808  9.1030445  2.8672175  4.2620068  2.5745275\n",
      "  2.7615366  1.8322593  1.5664995  9.317654 ]\n",
      "l_OFC : 5.015473\n",
      "vlPFC for Each Validation Subject: [ 1.6965925  1.9870486  6.7505393  2.2916977 23.8015     0.9614008\n",
      "  1.3775162  1.2124361  3.2234597  1.4127997]\n",
      "vlPFC : 4.4714994\n",
      "dmPFC for Each Validation Subject: [10.345585   4.412028  15.423479   4.4877143  2.2969482  7.548195\n",
      "  2.3256748  6.407881   3.1470888  1.6386402]\n",
      "dmPFC : 5.8033233\n",
      "VC for Each Validation Subject: [1.0690879  1.0098317  1.435936   2.9939742  2.016478   2.4366868\n",
      " 1.8482336  2.1584482  1.4647052  0.97189367]\n",
      "VC : 1.7405274\n",
      "mPFC for Each Validation Subject: [39.37786    4.935871  20.36317    3.673148  13.677129  26.978165\n",
      "  3.6441064 20.379818   2.7673457 15.299706 ]\n",
      "mPFC : 15.1096325\n",
      "pSTS for Each Validation Subject: [ 6.3589745  6.323706  16.789337   2.4130595 12.091254   3.4676704\n",
      "  2.8039365  8.29989   15.682377   9.537415 ]\n",
      "pSTS : 8.376762\n",
      "TP for Each Validation Subject: [ 6.6043186 38.596954  32.14397    8.365002   6.8272305 19.896116\n",
      "  9.430632   4.6915016  7.17148    9.259243 ]\n",
      "TP : 14.298645\n",
      "IPL for Each Validation Subject: [6.9394727 8.56962   2.1959622 2.6699467 2.019615  2.118355  1.4746271\n",
      " 1.1536195 1.5342801 1.0963058]\n",
      "IPL : 2.9771802\n",
      "Nac for Each Validation Subject: [20.146303   4.6367826 37.170677   5.0901146 15.1336155  3.8391583\n",
      "  3.613332  11.884304  37.001167  85.18408  ]\n",
      "Nac : 22.369953\n",
      "ACC for Each Validation Subject: [ 6.980382   2.6809013 24.618967   2.0700426  2.183611   1.2299998\n",
      "  3.2170208  1.2167568  4.4229712  1.5592843]\n",
      "ACC : 5.017994\n",
      "PreCG for Each Validation Subject: [ 4.245044   1.7978159  2.9526305  2.3113003  1.7607753  3.6086826\n",
      " 10.411536   1.1761856  1.5330156  1.9056808]\n",
      "PreCG : 3.1702669\n",
      "AMY for Each Validation Subject: [ 9.369292   9.046273  46.066383   7.97239   20.106722   7.3093944\n",
      " 10.634185  11.660091   6.7815275 11.208816 ]\n",
      "AMY : 14.015508\n",
      "Put for Each Validation Subject: [ 3.7760215  65.24088     6.1287093   0.82671124  1.3139962   1.2756472\n",
      "  1.4378046   7.03983     1.3662035   3.1607606 ]\n",
      "Put : 9.156656\n",
      "dlPFC for Each Validation Subject: [13.608231   1.6499608  3.4845912  1.9085196  5.0736036  1.5500203\n",
      "  2.3037794  2.0145986  1.4873503  0.871139 ]\n",
      "dlPFC : 3.3951793\n",
      "***Model's Final MSE(Validation) Loss between 15 ahead predicted and actual avg voxel BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "INS for Each Validation Subject: [11.408852   2.1795127  9.867659   1.6744518  5.658404   1.5364355\n",
      "  2.2788005  3.2174625  5.0177526  3.8056092]\n",
      "INS : 4.6644945\n",
      "PCC for Each Validation Subject: [7.7257824 1.9374207 8.996402  4.9912877 1.9878811 2.575485  2.1938393\n",
      " 1.1112043 6.171555  1.2513175]\n",
      "PCC : 3.8942177\n",
      "Cau for Each Validation Subject: [26.104824   3.3930545 35.274895   5.176722  18.59069    4.881199\n",
      "  4.079959  21.050476  54.303127  68.72139  ]\n",
      "Cau : 24.157635\n",
      "mCC for Each Validation Subject: [ 6.007026   1.462219   5.3471804 12.841943  33.787148   1.8556106\n",
      "  2.599747   3.0194657  8.39155    3.0730946]\n",
      "mCC : 7.838498\n",
      "mOFC for Each Validation Subject: [ 9.535657   4.454022   5.95961    3.5908372  5.184911  10.919895\n",
      "  2.4957917  2.3315334  4.755493   5.511353 ]\n",
      "mOFC : 5.4739103\n",
      "l_OFC for Each Validation Subject: [12.530601   5.418453  10.878422   3.217937   5.3773184  3.0421226\n",
      "  3.243141   1.6123161  1.4518542 12.21395  ]\n",
      "l_OFC : 5.898612\n",
      "vlPFC for Each Validation Subject: [ 1.3922635   1.8150694   5.468278    2.484092   19.716415    0.85084516\n",
      "  1.2752286   1.0819967   2.7847536   1.1920044 ]\n",
      "vlPFC : 3.8060946\n",
      "dmPFC for Each Validation Subject: [ 9.699953   3.4520926 15.112992   4.3593383  2.2298539  6.1646\n",
      "  1.9619982  5.5277696  3.2556076  1.600293 ]\n",
      "dmPFC : 5.3364496\n",
      "VC for Each Validation Subject: [1.3691586 1.1797918 1.4036973 3.4099166 2.344977  2.981977  2.32866\n",
      " 2.6333103 1.7609025 1.212822 ]\n",
      "VC : 2.0625215\n",
      "mPFC for Each Validation Subject: [37.766956   4.3860345 18.46133    3.555307  12.606707  24.537626\n",
      "  3.27925   18.734016   2.5078228 13.666688 ]\n",
      "mPFC : 13.950174\n",
      "pSTS for Each Validation Subject: [ 6.769561   6.404413  16.083485   2.356697  11.525798   3.6876824\n",
      "  3.1566372  8.568662  15.077422   9.461772 ]\n",
      "pSTS : 8.309213\n",
      "TP for Each Validation Subject: [ 6.9819145 42.375244  37.106995   9.099897   7.555667  23.327127\n",
      " 11.464863   4.8888106  8.232274  11.173655 ]\n",
      "TP : 16.220646\n",
      "IPL for Each Validation Subject: [6.619542  7.6510773 2.2708628 3.027276  2.1466513 2.3360884 1.6078702\n",
      " 1.155997  1.7277839 1.1122532]\n",
      "IPL : 2.9655402\n",
      "Nac for Each Validation Subject: [23.079344   4.220517  42.293026   5.562412  16.533115   3.847631\n",
      "  3.8236642 13.952603  40.393856  97.31204  ]\n",
      "Nac : 25.101822\n",
      "ACC for Each Validation Subject: [ 8.278714   2.7626069 26.181065   2.318847   2.3568895  1.1655527\n",
      "  3.1332927  1.1931226  5.0520015  1.7539757]\n",
      "ACC : 5.4196067\n",
      "PreCG for Each Validation Subject: [ 4.0762057   1.6549827   3.1435077   2.2105298   1.6549501   3.2779086\n",
      " 10.456423    0.96894926  1.4622333   1.8899946 ]\n",
      "PreCG : 3.0795684\n",
      "AMY for Each Validation Subject: [ 8.320194   8.565941  51.79279    8.061498  19.154263   6.1537743\n",
      " 10.542546  10.296021   6.323638   9.608277 ]\n",
      "AMY : 13.881894\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Put for Each Validation Subject: [ 4.3518763 61.40857    7.01322    0.7847627  1.2409806  1.1203058\n",
      "  1.4448936  7.306994   1.2243688  3.463689 ]\n",
      "Put : 8.935966\n",
      "dlPFC for Each Validation Subject: [12.630871    1.4685432   3.3771167   1.9305369   4.963772    1.3806545\n",
      "  2.279473    1.9429173   1.4166102   0.68681943]\n",
      "dlPFC : 3.2077312\n"
     ]
    }
   ],
   "source": [
    "MSE_subs, AVG_MSE_subs = list(), list()\n",
    "for LOOK_AHEAD in LOOK_AHEADS:\n",
    "    print(f\"***Model's Final MSE(Validation) Loss between {LOOK_AHEAD} ahead predicted and actual avg voxel BOLD values for ROIs for the Test Subjects***\")\n",
    "    print()\n",
    "    ROI_MSE_subs, ROI_AVG_MSE_subs = list(), list()\n",
    "    for i in range(len(ROI_names)):\n",
    "        actual_test_data_output = np.squeeze(test_data_unscaled[i][:,LOOK_AHEAD:,:])\n",
    "        pred_test_data_output = scalers[i].inverse_transform(np.hstack([preds[LOOK_AHEAD-1][i][:,:,0], preds[LOOK_AHEAD-1][i][:,:LOOK_AHEAD,0]]))[:,:-LOOK_AHEAD]\n",
    "        ROI_MSE_subs.append(tf.keras.losses.mean_squared_error(actual_test_data_output, pred_test_data_output).numpy())\n",
    "        print(ROI_names[i]+\" for Each Validation Subject:\", ROI_MSE_subs[i])\n",
    "        ROI_AVG_MSE_subs.append(np.mean(tf.keras.metrics.mean_squared_error(actual_test_data_output, pred_test_data_output), axis=-1))\n",
    "        print(ROI_names[i]+\" :\", ROI_AVG_MSE_subs[i])\n",
    "    MSE_subs.append(ROI_MSE_subs)\n",
    "    AVG_MSE_subs.append(ROI_AVG_MSE_subs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(19, 15, 10) (19, 15)\n"
     ]
    }
   ],
   "source": [
    "MSE_subs = np.transpose(np.array(MSE_subs), (1, 0, 2))\n",
    "AVG_MSE_subs = np.array(AVG_MSE_subs).T\n",
    "print(MSE_subs.shape, AVG_MSE_subs.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(len(ROI_names)):\n",
    "    plt.figure(figsize=(24, 18))\n",
    "\n",
    "    for j in range(NUM_TEST_SUBS-1):\n",
    "\n",
    "        ax = plt.subplot(3, 3, j + 1)\n",
    "        plt.plot(MSE_subs[i, :, j])\n",
    "        plt.xticks(np.arange(1, 16))\n",
    "        plt.ylabel(\"MSE Loss\")\n",
    "        plt.xlabel(\"Ahead TRs\")\n",
    "        plt.title(f\"Avg BOLD MSE Losses of {LSTM_LAYERS}L-{HIDDEN_UNITS}H-{DENSE_LAYERS}D-{int(DROPOUT_PROB*10)}Drop for {j+1}th Test Sub's {ROI_names[i]}\")\n",
    "    plt.savefig(f\"./Plots/OLD/LSTM/AVG-BOLD-TEST-ENLARGED/{ROI_names[i]}/{LSTM_LAYERS}L-{HIDDEN_UNITS}H-{DENSE_LAYERS}D-{int(DROPOUT_PROB*10)}Drop-Upto-15Ahead-Losses.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(len(ROI_names)):\n",
    "    plt.figure(figsize=(10, 10))\n",
    "    plt.plot(AVG_MSE_subs[i])\n",
    "    plt.xticks(np.arange(1, 16))\n",
    "    plt.ylabel(\"MSE Loss\")\n",
    "    plt.xlabel(\"Ahead TRs\")\n",
    "    plt.title(f\"Avg BOLD MSE Losses of {LSTM_LAYERS}L-{HIDDEN_UNITS}H-{DENSE_LAYERS}D-{int(DROPOUT_PROB*10)}Drop Across Test Subs\")\n",
    "    plt.savefig(f\"./Plots/OLD/LSTM/AVG-BOLD-TEST-ENLARGED/{ROI_names[i]}/{LSTM_LAYERS}L-{HIDDEN_UNITS}H-{DENSE_LAYERS}D-{int(DROPOUT_PROB*10)}Drop-Upto-15Ahead-Losses-Avg-Across-Subs.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "authorship_tag": "ABX9TyO379dB7oIxYoBIQaqTB5jX",
   "collapsed_sections": [],
   "name": "Neural-Prediction-Uncertainty-Young-All-TestSet-Enlarged-LSTM-Layers-Increased-Hidden-Units-Increased-Dense-Layers-Increased.ipynb",
   "provenance": []
  },
  "gpuClass": "standard",
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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