Before generating graph-based representations of brain network topology, we thresholded each individual’s {78 × 78} absolute functional connectivity matrix to remove spurious edges. Because this threshold is arbitrary, we computed topological measures for networks thresholded between 5% and 45% of all possible edges. At each threshold, network topology was represented as a binary, undirected graph from which five commonly studied topological measures were computed: normalized path length (λ), normalized clustering (γ), small-worldness (σ), global communication efficiency (EG), and local communication effiiency (EL). The measures were averaged across thresholds before statistical analysis (41). (Further details provided in Sections S.2 and S.3 in Supplement 1.)
