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 the discovery (main) and validation (holdout) datasets of (Vos de Wael et al., 2018, PNAS).
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.