819 subjects had a valid MMSE_Score measure.
Multivariate prediction (GLM-based, automatic feature selection, leave-one-family-out prediction)
Original data space: r=0.00 CoD=-1.65 Deconfounded space: r=-0.13 CoD=0.00
Scatterplot shows predicted-MMSE_Score vs measured-MMSE_Score (in original and deconfounded data space).
Univariate regression (regressing each netmat element independently against MMSE_Score, 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 = 0.6104)
Number of significantly correlated edges at p<0.05 (two-tailed, uncorrected) = 4 (6 expected by chance)
Image shows edges (node-pairs) whose connection most strongly correlates with MMSE_Score (in decreasing order), with t-statistic listed at the top of each node-pair.
