46 Figure S2: Comparison of raw Pearson correlation coefficients with Fisher-transformed coeffi- cients. (A) Because the Fisher transformation is monotonic (preserves rank) it does not change percentiles in any appreciable way. The correlation of the Fisher-transformed percentile ma- trix with the percentile matrix obtained from raw Pearson correlation coefficients is r ≈ 1. (B) We also calculated the correlation of Fisher-transformed static functional connectivity with the mean Fisher-transformed dynamic functional connectivity. Figure S1: We show the effects of Fisher transforming correlation coefficients on the range of dynamic fluctuations in Fisher-transformed coefficients. (A) Given four levels of static func- tional connectivity, we show the expected range of distribution Fisher-transformed dynamic functional connections. Note that despite the wide range of static connectivity magnitudes, the variances of distributions are similar. Contrast this with Figure 2 in the main text, where static connectivity magnitude played a massive role in shaping the range of dynamic fluctuations. (B) The relationship of the temporal mean and standard deviation for the Fisher-transformed functional connectivity matrix. Note that there is no systematic relationship. Contrast this panel with panel C in Figure 1 from the main text.