Code and Data used in our paper entitled "Intersecting distributed networks support convergent linguistic functioning across different languages in bilinguals" published in Communications Biology.
Citing our paper would be greatly appreciated if you use these codes or data.
STEPS :
Step1: Participant’s behavioral responses in experiment.
Step2: Brain activations for CW, EW and CP.
Step3: Behavioral RDMs of Logo-grapheme, Phonology and Semantics for CW, EW and CP.
Step4: Neural RDMs generation.
Step5: Representational Similarity Analysis.
Step6: Visualization of Brain Loads :
BrainNet Viewer(Xia et al., 2013, http://www.nitrc.org/projects/bnv/)
MRIcroGL(https://github.com/rordenlab/MRIcroGL)
Step7: Support Vector Regression
Step8: Associations between Brain loads and reaction time
Step9: Validations
Abbreviations:
CW-Chinese word;EW-English word;CP-Chinese pinyin
Logo-Logo-grapheme;Pho-Phonology;Sem-Semantics
S1_1_ACC.mat S1_2_RT.mat
S2_1_CW_2level_fmask_fdr005c10.nii S2_2_EW_2level_fmask_fdr005c10.nii S2_3_CP_2level_fmask_fdr005c10.nii
S3_1_LogoRDM_CW.mat
S3_1_LogoRDM_EW.mat
S3_1_LogoRDM_CP.mat
S3_2_PhoRDM_CW.mat
S3_2_PhoRDM_EW.mat
S3_2_PhoRDM_CP.mat
S3_3_SemRDM_CW.mat
S3_3_SemRDM_EW.mat
S3_3_SemRDM_CP.mat
S5_1_BrainLoad_Logo.nii
S5_1_BrainLoad_Pho.nii
S5_1_BrainLoad_Sem.nii
S5_2_BrainLoad_CW.nii
S5_2_BrainLoad_EW.nii
S5_2_BrainLoad_CP.nii
S5_3_rsaZ_CW.nii
S5_3_rsaZ_EW.nii
S5_3_rsaZ_CP.nii
S5_4_BrainLoad_ROI.xlsx
S7_1_y_pred.mat
S7_1_y_pred_logo.mat
S7_1_y_pred_pho.mat
S7_1_y_pred_sem.mat
S7_2_bestK_rbf.mat
S7_2_rmse_all_rbf.mat
S7_2_rmse_Nminus1_rbf.mat
S9_1_CW_perm.mat
S9_1_EW_perm.mat
S9_1_CP_perm.mat
S4_NeuralRDM_gene.m
S5_RSA_gene.m
S5_RSA_mining.m
S7_1_brainload_svr.py
S7_2_brainload_svrREF.py
S8_LMEmodel.m
figure1b.m
figure3b.m
figure4a.m
figure4b.m
figure6b.m
figure6cd.m
figure7.m
figure8b.m
figureS3.m
figureS3perm_gene.m