816 subjects had a valid SCPT_SPEC measure.
Multivariate prediction (GLM-based, automatic feature selection, leave-one-family-out prediction)
Original data space: r=0.05 CoD=-1.30 Deconfounded space: r=-0.08 CoD=-0.00
Scatterplot shows predicted-SCPT_SPEC vs measured-SCPT_SPEC (in original and deconfounded data space).
Univariate regression (regressing each netmat element independently against SCPT_SPEC, 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) = 2 (minimum corrected p = 0.0004)
Number of significantly correlated edges at p<0.05 (two-tailed, uncorrected) = 16 (6 expected by chance)
Image shows edges (node-pairs) whose connection most strongly correlates with SCPT_SPEC (in decreasing order), with t-statistic listed at the top of each node-pair.
