818 subjects had a valid PercStress_Unadj measure.
Multivariate prediction (GLM-based, automatic feature selection, leave-one-family-out prediction)
Original data space: r=0.14 CoD=-0.03 Deconfounded space: r=0.17 CoD=0.03
Scatterplot shows predicted-PercStress_Unadj vs measured-PercStress_Unadj (in original and deconfounded data space).
Univariate regression (regressing each netmat element independently against PercStress_Unadj, 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) = 2 (minimum corrected p = 0.0210)
Number of significantly correlated edges at p<0.05 (two-tailed, uncorrected) = 37 (15 expected by chance)
Image shows edges (node-pairs) whose connection most strongly correlates with PercStress_Unadj (in decreasing order), with t-statistic listed at the top of each node-pair.
