Genetic network properties of the human cortex based on regional thickness and surface area measures.

摘要: We examined network properties of genetic covariance between average cortical thickness (CT) and surface area (SA) within genetically-identified parcellations that we previously derived from human maps using vertex-wise fuzzy clustering analysis with high spatial resolution. There were 24 hierarchical based on CT SA expansion/contraction; in both cases the 12 per hemisphere largely symmetrical. utilized three techniques—biometrical modeling, cluster analysis, graph theory—to examine relationships 48 parcellation measures. Biometrical modeling indicated significant shared size several parcellations. Cluster suggested small distinct groupings covariance; networks highlighted negative positive correlations bilateral Graph theoretical world, but not rich club, may characterize these regional These findings suggest exhibit short characteristic path lengths across a broad connections. This property be protective against failure. In contrast, previous research structural data has observed strong club tightly interconnected hub networks. Future studies might provide powerful phenotypes for normal pathological brain development, aging, function.