818 subjects had a valid PainInterf_Tscore measure.
Multivariate prediction (GLM-based, automatic feature selection, leave-one-family-out prediction)
Original data space: r=-0.01 CoD=-0.26 Deconfounded space: r=-0.12 CoD=-0.15
Scatterplot shows predicted-PainInterf_Tscore vs measured-PainInterf_Tscore (in original and deconfounded data space).
Univariate regression (regressing each netmat element independently against PainInterf_Tscore, 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 = 0.1156)
Number of significantly correlated edges at p<0.05 (two-tailed, uncorrected) = 284 (248 expected by chance)
Image shows edges (node-pairs) whose connection most strongly correlates with PainInterf_Tscore (in decreasing order), with t-statistic listed at the top of each node-pair.
