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Cortical thickness or grey matter volume? The importance of selecting the phenotype for imaging genetics studies., , , , , , , and . NeuroImage, 53 (3): 1135-1146 (2010)Anatomical Global Spatial Normalization., , , , , , , , , and . Neuroinformatics, 8 (3): 171-182 (2010)Heritability estimates on resting state fMRI data using the ENIGMA analysis pipeline., , , , , , , , , and 4 other author(s). PSB, page 307-318. (2018)ENIGMA-Viewer: interactive visualization strategies for conveying effect sizes in meta-analysis., , , , , , , and . BMC Bioinform., 18 (6): 17-29 (2017)Behavioral, Anatomical and Heritable Convergence of Affect and Cognition in Superior Frontal Cortex., , , , , , and . NeuroImage, (2021)Genetics of microstructure of cerebral white matter using diffusion tensor imaging., , , , , , , , , and . NeuroImage, 53 (3): 1109-1116 (2010)Personality and local brain structure: Their shared genetic basis and reproducibility., , , , , and . NeuroImage, (2020)Medial demons registration localizes the degree of genetic influence over subcortical shape variability: An N= 1480 meta-analysis., , , , , , and . ISBI, page 1402-1406. IEEE, (2015)An Optimized Individual Target Brain in the Talairach Coordinate System., , , , , , and . NeuroImage, 17 (2): 922-927 (2002)On the genetic architecture of cortical folding and brain volume in primates., , , , , , , , , and . NeuroImage, 53 (3): 1103-1108 (2010)