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Correlation/prediction results for subject measure 468 (NEOFAC_N)

817 subjects had a valid NEOFAC_N measure.

Multivariate prediction (GLM-based, automatic feature selection, leave-one-family-out prediction)
Original data space: r=0.03 CoD=-0.18     Deconfounded space: r=-0.03 CoD=-0.17
Scatterplot shows predicted-NEOFAC_N vs measured-NEOFAC_N (in original and deconfounded data space).

Univariate regression (regressing each netmat element independently against NEOFAC_N, 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 = 0.4426)
Number of significantly correlated edges at p<0.05 (two-tailed, uncorrected) = 298 (248 expected by chance)
Image shows edges (node-pairs) whose connection most strongly correlates with NEOFAC_N (in decreasing order), with t-statistic listed at the top of each node-pair.