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Correlation/prediction results for subject measure 10 (SSAGA_Educ)

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=-0.05     Deconfounded space: r=0.24 CoD=0.01
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 = 0.0434)
Number of significantly correlated edges at p<0.05 (two-tailed, uncorrected) = 1621 (995 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.