819 subjects had a valid ProcSpeed_Unadj measure.
Multivariate prediction (GLM-based, automatic feature selection, leave-one-family-out prediction)
Original data space: r=0.08 CoD=-0.10 Deconfounded space: r=-0.06 CoD=-0.01
Scatterplot shows predicted-ProcSpeed_Unadj vs measured-ProcSpeed_Unadj (in original and deconfounded data space).
Univariate regression (regressing each netmat element independently against ProcSpeed_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 = 0.5272)
Number of significantly correlated edges at p<0.05 (two-tailed, uncorrected) = 2556 (2243 expected by chance)
Image shows edges (node-pairs) whose connection most strongly correlates with ProcSpeed_Unadj (in decreasing order), with t-statistic listed at the top of each node-pair.
