816 subjects had a valid DDisc_SV_1mo_200 measure.
Multivariate prediction (GLM-based, automatic feature selection, leave-one-family-out prediction)
Original data space: r=0.09 CoD=-0.09 Deconfounded space: r=0.08 CoD=-0.06
Scatterplot shows predicted-DDisc_SV_1mo_200 vs measured-DDisc_SV_1mo_200 (in original and deconfounded data space).
Univariate regression (regressing each netmat element independently against DDisc_SV_1mo_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) = 0 (minimum corrected p = 0.7804)
Number of significantly correlated edges at p<0.05 (two-tailed, uncorrected) = 77 (62 expected by chance)
Image shows edges (node-pairs) whose connection most strongly correlates with DDisc_SV_1mo_200 (in decreasing order), with t-statistic listed at the top of each node-pair.
