Fig. 1.

(A) Regions-of-interest (ROIs) used of the basal ganglia overlaid on an average structural image of participants in the study. (B) An example of a single participant’s connectivity matrix, which generates 120 unique connectivity pairs (8 regions and 2 hemispheres, 16 × 16 total connections but half used since connectivity is bidirectional and not including diagonal since values equal one). Values represent the Pearson correlation coefficient between any pair of eigenvariate timeseries; negative values often represent low correlation rather than anticorrelation since they may be a product of covariate signal regression rather than a true anticorrelation.