Multitask ISC data & code

Note Here we provide preprocessed data and analysis code used in "Cortical representational geometry of diverse tasks reveals subject-specific and subject-invariant cognitive structures". fMRI data were normalized into the standard space (MNI152NLin6Asym) and resampled to the surface template (fsaverage5). The analysis code requires Python version 3.8.8, Nilearn version 0.8.1, and Scikit-learn version 0.24.1. If you have any questions, please send an email to nakai.tomoya [at] neuro.mimoza.jp. Usage Encoding model training and testing VertexRidge_SaveWeight_Multi.pyVertexRidge_Prediction_Multi.pyVisualizeRSM_WholeCortex.py Identification analysis VertexRidge_SaveWeight_Multi_SplitHalf.pySubIdentify.py Inter-subject correlation analysis (task-type model) Vertex_Relation_ISC_RSM.pyVertex_WeightISC_Multi.pyVertex_WeightRSM_Multi.pyRidgelinePlot_RSM-WeightISC_Multi.py Multidimensional scaling CalcDissimilarity.pyCalcMDS.rShowMDS.py Principal component analysis WeightPCA.pyVisualizeRSM-Network.py Inter-subject correlation analysis (model-free) Vertex_ISC_Multi.pyScatterPlot_ISC-WeightISC-RSM.py Analysis using other latent features VertexRidge_SaveWeight_Lang.pyVertexRidge_SaveWeight_Visual.pyVertexRidge_Prediction_Lang.pyVertexRidge_Prediction_Visual.pyVertex_WeightISC_Lang.pyVertex_WeightISC_Visual.pyVertex_WeightRSM_Lang.pyVertex_WeightRSM_Visual.pyRidgelinePlot_RSM-WeightISC_Lang.pyRidgelinePlot_RSM-WeightISC_Visual.pyRidgelinePlot_RSM-WeightISC_DiffFeatures.py