Fig. 1: Schematic overview of the CAP analysis pipeline.

A–C Individual-level processing) Individual BOLD volumes are extracted and normalized via z-score transformation across time (A–B), producing a T × 402 matrix for each subject (C), where T is the number of time points and 402 corresponds to 400 ROIs from the Yeo atlas plus bilateral amygdala ROIs. D–F: Group-level processing) The BOLD signal matrices from all N subjects are concatenated across time (D) to form a group-level data matrix (E) used for K-means clustering. Temporal clustering yields discrete CAP state labels (F), identifying recurring brain states across the population.