452 subjects had a valid Menstrual_RegCycles measure.
Multivariate prediction (GLM-based, automatic feature selection, leave-one-family-out prediction)
Original data space: r=-0.02 CoD=-1701.71 Deconfounded space: r=-0.10 CoD=-0.00
Scatterplot shows predicted-Menstrual_RegCycles vs measured-Menstrual_RegCycles (in original and deconfounded data space).
Univariate regression (regressing each netmat element independently against Menstrual_RegCycles, 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 = 0.9644)
Number of significantly correlated edges at p<0.05 (two-tailed, uncorrected) = 52 (62 expected by chance)
Image shows edges (node-pairs) whose connection most strongly correlates with Menstrual_RegCycles (in decreasing order), with t-statistic listed at the top of each node-pair.
