strength of FC or amount of relative GMV) associated with each group. Statistical significance of the LVs was assessed using permutation testing. In this procedure, each subject's data was randomly reassigned (without replacement) to different experimental groups, and a null distribution was derived from multiple permuted solutions. In the current experiment, we used 500 permutations and considered LVs as significant if p < 0.05. Further, we assessed the reliability of each brain data entry that contributed to a specific LV's pattern using a bootstrap estimation of the standard error (i.e., bootstrap ratio, BSR). In this scenario, subjects were sampled randomly (100 times in total) with replacement and a new analysis was performed. In Table S1, we report BSRs greater than 2.00 for the FC-PLS and BSRs greater than 3.00 for the GMV-PLS. Additional information derived from PLS analyses are brain scores (i.e., similar to factor scores) for each individual that indicate the extent to which an individual expresses the pattern represented by the LV. This analysis results in a single map containing a BSR value for each ROI (GMV-EM-PLS). This BSR value then indicates whether GMV of that ROI differs significantly between healthy controls and a single patient group (e.g.,
