816 subjects had a valid ASR_TAO_Sum measure.
Multivariate prediction (GLM-based, automatic feature selection, leave-one-family-out prediction)
Original data space: r=0.17 CoD=0.01 Deconfounded space: r=0.11 CoD=0.00
Scatterplot shows predicted-ASR_TAO_Sum vs measured-ASR_TAO_Sum (in original and deconfounded data space).
Univariate regression (regressing each netmat element independently against ASR_TAO_Sum, 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 = 0.0696)
Number of significantly correlated edges at p<0.05 (two-tailed, uncorrected) = 34 (15 expected by chance)
Image shows edges (node-pairs) whose connection most strongly correlates with ASR_TAO_Sum (in decreasing order), with t-statistic listed at the top of each node-pair.
