Brain-wide connectome inferences using functional connectivity MultiVariate Pattern Analyses (fc-MVPA)
Fig 4
Percentage of total covariance associated with each fc-MVPA eigenpattern.
Top: histogram of ξk(x)|1≤i≤100 values, percentage of the total covariance explained by each of the first 100 eigenpatterns. Histograms are further broken down by the most likely tissue class (gray matter in black, CSF areas in grey, and white matter in white) at each individual voxel as defined by SPM’s tissue probability map templates. Bottom: spatial map ξ1(x) showing the proportion of the total intersubject covariance explained by each voxel’s first eigenpattern (a measure of the overall intersubject homogeneity in functional connectivity patterns at each voxel; see text for details).