819 subjects had a valid PicSeq_AgeAdj measure.
Multivariate prediction (GLM-based, automatic feature selection, leave-one-family-out prediction)
Original data space: r=0.18 CoD=-0.03 Deconfounded space: r=0.14 CoD=0.01
Scatterplot shows predicted-PicSeq_AgeAdj vs measured-PicSeq_AgeAdj (in original and deconfounded data space).
Univariate regression (regressing each netmat element independently against PicSeq_AgeAdj, 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) = 1 (minimum corrected p = 0.0430)
Number of significantly correlated edges at p<0.05 (two-tailed, uncorrected) = 36 (15 expected by chance)
Image shows edges (node-pairs) whose connection most strongly correlates with PicSeq_AgeAdj (in decreasing order), with t-statistic listed at the top of each node-pair.
