Fig. 6: Estimating heritability, h2, of five regional MRI metrics and structural similarity network phenotypes derived from them.
From: Robust estimation of cortical similarity networks from brain MRI
a, Twin-based heritability (\({h}_{twin}^{2}\)) of regional MRI metrics (SA, CT, Vol, MC and SD) and of weighted nodal degree for MIND networks and MSNs; each point represents one of 318 cortical areas. b, SNP-based heritability (\({h}_{SNP}^{2}\)) for weighted degree of MIND networks and MSNs (n = 318 regions). Box plots in a and b indicate data quartiles, and whiskers indicate the full data range, excluding outliers. c, Scatter plot of twin-based versus SNP-based h2 estimates for weighted degree of MIND networks and MSNs; each point represents a regional node in the cortical network. P values (uncorrected) were based on two-sided spin tests. Shading represents 95% confidence interval (CI) of best-fit lines. d, Cortical map of the regional \({h}_{twin}^{2}\) for MIND network degree. e,f, The strongest (e) and weakest (f) 1% of MIND edges and their corresponding \({h}_{twin}^{2}\) estimates. g, Scatter plot of \({h}_{twin}^{2}\) versus MIND network edge weights, with fitted line indicating significant negative correlation; each point is an edge in the network. The indicated P value was based on a two-sided spin test.
