819 subjects had a valid SSAGA_Educ measure.
Multivariate prediction (GLM-based, automatic feature selection, leave-one-family-out prediction)
Original data space: r=0.28 CoD=-0.01 Deconfounded space: r=0.24 CoD=0.05
Scatterplot shows predicted-SSAGA_Educ vs measured-SSAGA_Educ (in original and deconfounded data space).
Univariate regression (regressing each netmat element independently against SSAGA_Educ, 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 = 0.0400)
Number of significantly correlated edges at p<0.05 (two-tailed, uncorrected) = 148 (62 expected by chance)
Image shows edges (node-pairs) whose connection most strongly correlates with SSAGA_Educ (in decreasing order), with t-statistic listed at the top of each node-pair.
