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Correlation/prediction results for subject measure 255 (MeanPurp_Unadj)

818 subjects had a valid MeanPurp_Unadj measure.

Multivariate prediction (GLM-based, automatic feature selection, leave-one-family-out prediction)
Original data space: r=0.10 CoD=-0.10     Deconfounded space: r=0.07 CoD=-0.03
Scatterplot shows predicted-MeanPurp_Unadj vs measured-MeanPurp_Unadj (in original and deconfounded data space).

Univariate regression (regressing each netmat element independently against MeanPurp_Unadj, 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 = 0.0376)
Number of significantly correlated edges at p<0.05 (two-tailed, uncorrected) = 113 (62 expected by chance)
Image shows edges (node-pairs) whose connection most strongly correlates with MeanPurp_Unadj (in decreasing order), with t-statistic listed at the top of each node-pair.