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The heritability of the functional connectome is robust to common nonlinear registration methods.

, , , , , , , , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97841R. SPIE, (2016)

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A genetic analysis of cortical thickness in 372 twins., , , , , , , , , and . ISBI, page 101-104. IEEE, (2010)Development of the "rich club" in brain connectivity networks from 438 adolescents & adults aged 12 to 30., , , , , , , and . ISBI, page 624-627. IEEE, (2013)Reducing Structural Variation to Determine the Genetics of White Matter Integrity Across Hemispheres - A DTI Study of 100 Twins., , , , , , , , , and 3 other author(s). ISBI, page 819-822. IEEE, (2009)Discovery of genes that affect human brain connectivity: A genome-wide analysis of the connectome., , , , , , , , , and 1 other author(s). ISBI, page 542-545. IEEE, (2012)Genetic analysis of cortical sulci in 1, 009 adults., , , , , , , , , and . ISBI, page 833-837. IEEE, (2016)Mapping age effects along fiber tracts in young adults., , , , , , , , , and 1 other author(s). ISBI, page 101-104. IEEE, (2017)Identifying candidate gene effects by restricting search space in a multivariate genetic analysis of white matter microstructure., , , , , , , , , and 2 other author(s). ISBI, page 353-356. IEEE, (2014)Region-specific sex differences in the hippocampus., , , , , , , , and . NeuroImage, (2020)BDNF gene effects on brain circuitry replicated in 455 twins., , , , , , , , , and 1 other author(s). NeuroImage, 55 (2): 448-454 (2011)The heritability of the functional connectome is robust to common nonlinear registration methods., , , , , , , , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97841R. SPIE, (2016)