Detecting functional connectivity differences between pre- and post-intervention time periods

We applied ANOVA between the four groups global mean strength of sFCN to assess potential baseline differences. We also applied ANOVA between baseline and follow-up global mean strength of sFCN for the four groups. We adopted a similar approach between every pair of scans for the test–retest NYU dataset. The Kolmogorov–Smirnov test was used to check for normality of the data.To reveal functional connectivity differences due to intervention, we applied a Wilcoxon Rank-Sum Test between pre- and post-intervention-related sFCN independently for every group and for every pair of ROIs. Finally, we corrected for multiple comparisons with a false discovery rate (FDR) with a significance level of To reveal functional connectivity differences in the baseline at ROI level between each intervention group and the control group (AE vs control; CCT vs control; COMB vs control), we adopted a Wilcoxon rank-sum test. Results were corrected for multiple comparisons using FDR, with a significant level of 