We conducted similar analyses, applying univariate correlations and multiple regressions against a similar set of covariates to ASPS (see Fig 8). The regressions used the n=4,891 subjects with complete data in all IDPs and covariates. In order to maximize the complementarity of information content between the univariate correlations and multiple regressions, no adjustments for factors such as age and sex were applied in correlations, whereas these factors were included as confound covariates in the multivariate regressions. We applied Bonferroni multiple comparisons correction across covariates and brain regions, resulting (for Pcorrected<0.05) in a -log10Puncorrected threshold of 3.6.
