819 subjects had a valid SSAGA_Rlshp measure.
Multivariate prediction (GLM-based, automatic feature selection, leave-one-family-out prediction)
Original data space: r=0.32 CoD=0.10 Deconfounded space: r=0.09 CoD=-0.06
Scatterplot shows predicted-SSAGA_Rlshp vs measured-SSAGA_Rlshp (in original and deconfounded data space).
Univariate regression (regressing each netmat element independently against SSAGA_Rlshp, 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 = 0.1384)
Number of significantly correlated edges at p<0.05 (two-tailed, uncorrected) = 2578 (2243 expected by chance)
Image shows edges (node-pairs) whose connection most strongly correlates with SSAGA_Rlshp (in decreasing order), with t-statistic listed at the top of each node-pair.
