Module connectome.preprocessing

several utilities and helper functions to process the raw brain connectivity data in the form of matlab (*.mat) files

Sub-modules

connectome.preprocessing.colnames_to_yeo7

simple helper functions to create mappings for the column names of different brain atlases and regions

connectome.preprocessing.data_loader

several preprocessing and data transformation helpers

connectome.preprocessing.data_preparation

helper function to transform the processed data into the right format

connectome.preprocessing.graph_metrics

functions to compute graph metrics for a given brain connectivity dataset based on the bct(py) package

connectome.preprocessing.network_aggregation

aggregates connectivity matrices on the basis of the yeo7 network

connectome.preprocessing.preprocessing_matlab_files

this module is used as a framework to prepare raw connectivity matrices for analysis Important: In your excel sheet with subject information, name …

connectome.preprocessing.reorder_matrices_regions

reorders connectivity matrices on the basis of the yeo7 network