816 subjects had a valid DDisc_AUC_200 measure.
Multivariate prediction (GLM-based, automatic feature selection, leave-one-family-out prediction)
Original data space: r=0.15 CoD=0.02 Deconfounded space: r=0.13 CoD=0.02
Scatterplot shows predicted-DDisc_AUC_200 vs measured-DDisc_AUC_200 (in original and deconfounded data space).
Univariate regression (regressing each netmat element independently against DDisc_AUC_200, correcting for multiple comparisons across elements, using PALM permutation testing, taking into account family structure).
Number of significantly correlated edges at p<0.05 (two-tailed, FWE corrected) = 1 (minimum corrected p = 0.0234)
Number of significantly correlated edges at p<0.05 (two-tailed, uncorrected) = 21 (6 expected by chance)
Image shows edges (node-pairs) whose connection most strongly correlates with DDisc_AUC_200 (in decreasing order), with t-statistic listed at the top of each node-pair.
