Functional-Gradient-in-vOT

This repository provides data and codes used in our paper ‘Functional Gradients of the Fusiform Cortex during Chinese Character Recognition’ published in eNeuro.

Dada

1. Participant’s response in experiment. a. ACC.mat b. RT.mat
2. Fuctional gradient in vot. a. 1_LexicalEffect.nii b. 2_WordFormEffect.nii c. 3_PW_RW.nii d. 4_FW_RW.nii e. 5_SC_RW.nii
3. Semantic and logo-grapheme representations in vot. a. RSA_w2v_RW_VOT.nii b. RSA_logo_RW_VOT.nii c. RSA_logo_PW_VOT.nii d. RSA_logo_FW_VOT.nii
4. Correlations between semantic and logo-grapheme representations in vot a. ROI_rsa_w2v_L_neg56.nii b. ROI_rsa_w2v_L_neg34.nii c. ROI_rsa_logo_R_neg52.nii d. ROI_rsa_logo_L_neg52.nii e. ROI_rsa_logo_L_neg30.nii
5. Mask used in our study a. gfMask.mat b. rgrayTPM_mask.nii c. rVOT_aal.nii

Code

1. Figure1. a. Rainplot:https://github.com/RainCloudPlots/RainCloudPlots
2. Figure2. a. Activation Analysis:https://www.fil.ion.ucl.ac.uk/spm/ b. Visualization:https://www.nitrc.org/projects/mricrogl/
3. Figure3. a. Word2vector:https://scikit-learn.org/stable/index.html b. Representational Similarity Analysis:neuralRDMgene.m,RSA_logo_real.m
4. Figure4. a. Correlation Analysis:corr_w2v_logo.m