brainspace.datasets.load_group_fc

brainspace.datasets.load_group_fc(parcellation, scale=400, group='main')[source]

Load group level connectivity matrix for a given parcellation.

Connectivity is derived from a subset of HCP data.

Parameters:
  • parcellation ({'schaefer', 'vosdewael'}) – Parcellation name, either ‘schaefer’ for Schaefer (functional) parcellations or ‘vosdewael’ for a subparcellation of aparc.
  • scale ({100, 200, 300, 400}, optional) – Number of parcels. Default is 400.
  • group ({'main', 'holdout'}) – Group of subjects used to derive the connectivity matrix. Default is ‘main’.
Returns:

conn (2D ndarray, shape = (scale, scale)) – Connectivity matrix.