FIG. 1.

Brain state identification methods flowchart. Summary of the analysis pipeline for determining activation pattern states. For each subject's data (A), pairwise correlations were computed between all activation patterns (B), resulting in a temporal similarity matrix (C). Infomap community detection algorithm was applied to this temporal similarity matrix, clustering similar time points into the same unique state (D). State prototypes were calculated by averaging activations across all time points within the same community (E). Group level analyses were conducted by concatenating all individual subject state prototypes into one data matrix (F) and performing the same analysis steps (B–E) this group-level matrix, shown in (G) group-level state similarity matrix, (I) Infomap community detection algorithm solution at the group-level, and (H) group-level activation pattern states.