Figure 6. Modeling variability of single functional network edges.
(A) Variance in single edges was modeled with factors of individual, task state, session, and their interactions, shown in a region-by-region correlation matrix (left). This simple model explained most of the variance in edges, with particularly high rates of variance explained within and among control and default systems (Supp. Fig. 4A). Variance explained per parcel, averaged over edges (right). (B) Variance explained (ω2) for each (top, averaged over edges for a parcel, bottom- variance explained for each edge in the functional network matrix); individual identity explains the majority of the variance. Remaining variance is primarily explained by task and task * individual (particularly in higher-level processing and control regions). Session related variance was minor, but slightly higher in the analysis conducted on 10 separated sessions rather than split-half (Supp. Fig. 5A–B)