202 subjects had a valid SSAGA_TB_DSM_Withdrawal measure.
Multivariate prediction (GLM-based, automatic feature selection, leave-one-family-out prediction)
Original data space: r=-0.01 CoD=-0.22 Deconfounded space: r=-0.07 CoD=-0.15
Scatterplot shows predicted-SSAGA_TB_DSM_Withdrawal vs measured-SSAGA_TB_DSM_Withdrawal (in original and deconfounded data space).
Univariate regression (regressing each netmat element independently against SSAGA_TB_DSM_Withdrawal, 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 = 0.3160)
Number of significantly correlated edges at p<0.05 (two-tailed, uncorrected) = 67 (62 expected by chance)
Image shows edges (node-pairs) whose connection most strongly correlates with SSAGA_TB_DSM_Withdrawal (in decreasing order), with t-statistic listed at the top of each node-pair.
