Impact of Potential ConfoundsFirst, we re-calculated the functional inter-individual variabilitywithout removing the global signal in the preprocessing.Variability maps, estimated with (Figure 1) and without(Supplementary Figures 1, 2) GSR, demonstrated a highlysimilar pattern (Pearson correlation r = 0.92, p < 0.0001).The cerebellum retained the largest mean inter-individualvariability compared to that of cerebral regions (two-samplet-test, p < 0.0001). The network-level variability also consistentlydemonstrated significant statistical difference for the functionalvariability among the networks (p < 0.001), with graduallyincreased variability occurring in the subcortical network, thenthe primary networks (i.e., visual, sensorimotor, and auditorynetworks), to the association networks (i.e., default and frontoparietal networks), and to the cerebellar network (Supplementary