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Optimal representations of the genetic structure underlying complex neuroimaging phenotypes lie at the heart of our quest to discover the genetic code of the brain. Here, we suggest a strategy for achieving such a representation by decomposing the genetic covariance matrix of complex phenotypes into maximally heritable and genetically independent components. We show that such a representation can...
Specific genetic loci related to differences in brain anatomy have recently been discovered through efforts of the ENIGMA consortium and others. Yet different neuroanatomical traits may have different genetic determinants, and their discovery may offer a deeper understanding of genetic factors that shape the human brain. To investigate the degree of genetic contributions to variability in sulcal measures...
We present a multi-cohort shape heritability study, extending the fast spherical demons registration to subcortical shapes via medial modeling. A multi-channel demons registration based on vector spherical harmonics is applied to medial and curvature features, while controlling for metric distortion. We registered and compared seven subcortical structures of 1480 twins and siblings from the Queensland...
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