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Correlation/prediction results for subject measure 203 (PMAT24_A_CR)

816 subjects had a valid PMAT24_A_CR measure.

Multivariate prediction (GLM-based, automatic feature selection, leave-one-family-out prediction)
Original data space: r=0.29 CoD=0.05     Deconfounded space: r=0.21 CoD=0.03
Scatterplot shows predicted-PMAT24_A_CR vs measured-PMAT24_A_CR (in original and deconfounded data space).

Univariate regression (regressing each netmat element independently against PMAT24_A_CR, 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 = 0.0508)
Number of significantly correlated edges at p<0.05 (two-tailed, uncorrected) = 160 (62 expected by chance)
Image shows edges (node-pairs) whose connection most strongly correlates with PMAT24_A_CR (in decreasing order), with t-statistic listed at the top of each node-pair.