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Correlation/prediction results for subject measure 469 (NEOFAC_E)

817 subjects had a valid NEOFAC_E measure.

Multivariate prediction (GLM-based, automatic feature selection, leave-one-family-out prediction)
Original data space: r=-0.01 CoD=-0.12     Deconfounded space: r=-0.01 CoD=-0.05
Scatterplot shows predicted-NEOFAC_E vs measured-NEOFAC_E (in original and deconfounded data space).

Univariate regression (regressing each netmat element independently against NEOFAC_E, 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 = 0.5836)
Number of significantly correlated edges at p<0.05 (two-tailed, uncorrected) = 2574 (2243 expected by chance)
Image shows edges (node-pairs) whose connection most strongly correlates with NEOFAC_E (in decreasing order), with t-statistic listed at the top of each node-pair.