819 subjects had a valid PicSeq_Unadj measure.
Multivariate prediction (GLM-based, automatic feature selection, leave-one-family-out prediction)
Original data space: r=0.11 CoD=-0.10 Deconfounded space: r=0.05 CoD=0.00
Scatterplot shows predicted-PicSeq_Unadj vs measured-PicSeq_Unadj (in original and deconfounded data space).
Univariate regression (regressing each netmat element independently against PicSeq_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) = 0 (minimum corrected p = 0.0604)
Number of significantly correlated edges at p<0.05 (two-tailed, uncorrected) = 9 (6 expected by chance)
Image shows edges (node-pairs) whose connection most strongly correlates with PicSeq_Unadj (in decreasing order), with t-statistic listed at the top of each node-pair.
