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v0.4.12 - Update Brain Parcellation Projects and Pre-push Hook
Why: Yeo2011_fcMRI_clustering 1. Add project-specific prefix Yeo2011 for two scripts of Yeo2011_fcMRI_clustering: 1000subjects_reference/Yeo_JNeurophysiol11_SplitLabels/scripts/CBIG_DownsampleMNI1mmParcellationTo2mm.csh and 1000subjects_reference/Yeo_JNeurophysiol11_SplitLabels/scripts/CBIG_ProjectSplitLabels2MNI1mm.m, which were missing in release v0.4.10. 2. Move example subjects from $CBIG_CODE_DIR/data/example_data/${subj_ID} to $CBIG_CODE_DIR/data/example_data/Corr_HNU/${subj_ID} 3. The example subjects are re-processed by a newer version of our preprocessing pipeline (v0.4.9). Hence results in ./examples are updated. 4. Update some README.md files. Scaefer2018_LocalGlobal 1. Move example subjects from $CBIG_CODE_DIR/data/example_data/${subj_ID} to $CBIG_CODE_DIR/data/example_data/Corr_HNU/${subj_ID}. 2. The example subjects are re-processed by a newer version of our preprocessing pipeline (v0.4.9). Hence results in ./Code/examples are updated. 3. Update some README.md files. Pre-push hook: 1. Add checking for unit_tests folder in each stable project. 2. Remove exclusion for Scaefer2018_LocalGlobal, Yeo2011_fcMRI_clustering, Liegeois2017_Surrogates projects. This change addresses the need by: * All users
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Li Jingwei
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Apr 9, 2018
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This folder contains subjects from the preprocessed CoRR_HNU dataset. We use these subjects as example data so that people can run our example code and make sure the outputs are correct. | ||
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---- | ||
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CoRR_HNU dataset | ||
================ | ||
The CoRR_HNU dataset is an open source science resource created by CoRR (Consortium for Reliability and Reproducibility). We get permission from Professor Xi-Nian Zuo to re-release a few preprocessed CoRR_HNU subjects here as example data. | ||
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You may refer to this paper for more information about the CoRR_HNU dataset: [An open science resource for establishing reliability and reproducibility in functional connectomics](https://www.nature.com/articles/sdata201449.pdf). | ||
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---- | ||
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CBIG preprocessing pipeline | ||
=========================== | ||
Example data from the CoRR_HNU dataset have been preprocessed with our CBIG pipeline (version number v0.4.9). | ||
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The order of preprocessing steps are listed below: | ||
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* CBIG_preproc_skip -skip 4 | ||
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* CBIG_preproc_fslslicetimer -slice_order ${CBIG_CODE_DIR}/stable_projects/preprocessing/CBIG_fMRI_Preproc2016/example_slice_order.txt | ||
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* CBIG_preproc_fslmcflirt_outliers -FD_th 0.2 -DV_th 50 -discard-run 50 -rm-seg 5 -spline_final | ||
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* CBIG_preproc_bbregister -intrasub_best | ||
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* CBIG_preproc_regress -whole_brain -wm -csf -motion12_itamar -detrend_method detrend -per_run -censor -polynomial_fit 1 | ||
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* CBIG_preproc_censor -max_mem NONE | ||
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* CBIG_preproc_bandpass -low_f 0.009 -high_f 0.08 -detrend | ||
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* CBIG_preproc_QC_greyplot -FD_th 0.2 -DV_th 50 | ||
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* CBIG_preproc_native2fsaverage -proj fsaverage6 -sm 6 -down fsaverage5 | ||
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21 changes: 11 additions & 10 deletions
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...2018_LocalGlobal/Code/examples/example_input/CBIG_gwMRF_create_example_input_fullpaths.sh
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#!/bin/bash | ||
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# This simple script creates a list that contains the full paths to example subjects's surf data. Each line is one subject with different runs. | ||
# Assume that the folder structure of CBIG_private respository is preserved and not changed. | ||
# This simple script creates a list that contains the full paths to example subjects' surf data. Each line represents one subject with different runs. | ||
# Assume the folder structure of CBIG respository is preserved | ||
# Written by CBIG under MIT license: https://github.com/ThomasYeoLab/CBIG/blob/master/LICENSE.md | ||
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# set paths | ||
data_dir=${CBIG_CODE_DIR}/data/example_data | ||
# Set paths | ||
data_dir=${CBIG_CODE_DIR}/data/example_data/CoRR_HNU | ||
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output_dir=${1} | ||
mkdir -p ${output_dir} | ||
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# create a file to store example full paths | ||
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# Create a file to store example full paths | ||
output_file="${output_dir}/example_input_fullpaths.csv" | ||
touch ${output_file} | ||
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# write the full paths to example subjects's surf data. Each line is one subject with different runs. | ||
echo -n "${data_dir}/subj01/subj01_sess1/surf/lh.subj01_sess1_bld002_rest_skip4_stc_mc_resid_cen_FDRMS0.2_DVARS50_bp_0.009_0.08_fs6_sm6.nii.gz " > ${output_file} | ||
echo -e "${data_dir}/subj01/subj01_sess2/surf/lh.subj01_sess2_bld002_rest_skip4_stc_mc_resid_cen_FDRMS0.2_DVARS50_bp_0.009_0.08_fs6_sm6.nii.gz" >> ${output_file} | ||
# Write full paths to example subjects' surf data, each line represents one subject with different runs | ||
echo -n "${data_dir}/subj01/subj01_sess1/surf/lh.subj01_sess1_bld002_rest_skip4_stc_mc_residc_interp_FDRMS0.2_DVARS50_bp_0.009_0.08_fs6_sm6.nii.gz " > ${output_file} | ||
echo -e "${data_dir}/subj01/subj01_sess2/surf/lh.subj01_sess2_bld002_rest_skip4_stc_mc_residc_interp_FDRMS0.2_DVARS50_bp_0.009_0.08_fs6_sm6.nii.gz" >> ${output_file} | ||
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echo -n "${data_dir}/subj02/subj02_sess1/surf/lh.subj02_sess1_bld002_rest_skip4_stc_mc_resid_cen_FDRMS0.2_DVARS50_bp_0.009_0.08_fs6_sm6.nii.gz " >> ${output_file} | ||
echo -e "${data_dir}/subj02/subj02_sess2/surf/lh.subj02_sess2_bld002_rest_skip4_stc_mc_resid_cen_FDRMS0.2_DVARS50_bp_0.009_0.08_fs6_sm6.nii.gz" >> ${output_file} | ||
echo -n "${data_dir}/subj02/subj02_sess1/surf/lh.subj02_sess1_bld002_rest_skip4_stc_mc_residc_interp_FDRMS0.2_DVARS50_bp_0.009_0.08_fs6_sm6.nii.gz " >> ${output_file} | ||
echo -e "${data_dir}/subj02/subj02_sess2/surf/lh.subj02_sess2_bld002_rest_skip4_stc_mc_residc_interp_FDRMS0.2_DVARS50_bp_0.009_0.08_fs6_sm6.nii.gz" >> ${output_file} | ||
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