Fig 6. Subgraph expression stratifies inter-individual task performance.

(A-D; left) To examine the link between subgraph dynamics and behavior, we compare subgraph expression to task-specific performance cost across individuals. Specifically, we compute the Spearman’s ρ between relative subgraph expression, averaged across low demand or high demand task blocks of each participant, and reaction time cost—difference between reaction time on high demand blocks and low demand blocks (lower is better)—averaged across task blocks of each participant. Values of ρ greater than zero imply that greater negative subgraph expression is associated with lower reaction time cost and values of ρ less than zero imply that greater positive subgraph expression is associated with lower reaction time cost. (A-B; left) Distribution of Spearman’s ρ between relative subgraph expression and reaction time cost for each subgraph during the low cognitive demand condition and the high cognitive demand condition of the Stroop task. Subgraphs with significant correlations are colored red (p < 0.05; uncorrected for multiple comparisons). (C-D; left) Distribution of Spearman’s ρ between relative subgraph expression and reaction time cost for each subgraph during the low cognitive demand condition and the high cognitive demand condition of the Navon task. Subgraphs with significant correlations are colored red (p < 0.05; uncorrected for multiple comparisons). (A-D; right) To assess which brain regions are more influential in subgraphs whose expression is associated with lower reaction time cost, we compute a participation score for each brain region by computing its node strength in each subgraph and calculating the sum of each brain region’s node strength across subgraphs, weighted by the Spearman’s ρ value. Intuitively, a more positive participation score implies that a brain region is more involved in subgraphs with greater negative expression in individuals with lower reaction time cost, and a more negative participation score implies that a brain region is more involved in subgraphs with greater positive expression in individuals with lower reaction time cost. We compare participation scores to a null distribution that is generated by permuting edges in the subgraph adjacency matrix 10000 times and recomputing the participation score for each permutation (p < 0.05; Bonferroni corrected for multiple comparisons). Brain regions with significantly positive participation scores (associated with anticorrelated dynamics) are colored in red, and brain regions with significantly negative participation scores (associated with correlated dynamics) are colored in blue.