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

VertexRidge_Prediction_Multi_BlockPerm.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

WeightPCA_NonRSM.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