819 subjects had a valid SSAGA_BMICat measure.
Multivariate prediction (GLM-based, automatic feature selection, leave-one-family-out prediction)
Original data space: r=0.62 CoD=0.38 Deconfounded space: r=0.07 CoD=-0.00
Scatterplot shows predicted-SSAGA_BMICat vs measured-SSAGA_BMICat (in original and deconfounded data space).
Univariate regression (regressing each netmat element independently against SSAGA_BMICat, 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) = 2 (minimum corrected p = 0.0280)
Number of significantly correlated edges at p<0.05 (two-tailed, uncorrected) = 8 (6 expected by chance)
Image shows edges (node-pairs) whose connection most strongly correlates with SSAGA_BMICat (in decreasing order), with t-statistic listed at the top of each node-pair.
