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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)

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Combining meta- and mega- analytic approaches for multi-site diffusion imaging based genetic studies: From the ENIGMA-DTI working group., , , , , , , , , and 27 other author(s). ISBI, page 1234-1238. IEEE, (2014)Heritability estimates on resting state fMRI data using the ENIGMA analysis pipeline., , , , , , , , , and 4 other author(s). PSB, page 307-318. (2018)Cortical thickness or grey matter volume? The importance of selecting the phenotype for imaging genetics studies., , , , , , , and . NeuroImage, 53 (3): 1135-1146 (2010)On the genetic architecture of cortical folding and brain volume in primates., , , , , , , , , and . NeuroImage, 53 (3): 1103-1108 (2010)Riemannian frameworks for the harmonization of resting-state functional MRI scans., , , , , , and . Medical Image Anal., (January 2024)On study design in neuroimaging heritability analyses., , , , , , , , , and . Medical Imaging: Image Processing, volume 9034 of SPIE Proceedings, page 90342P. SPIE, (2014)Population sequencing data reveal a compendium of mutational processes in the human germ line, , , , , , , , , and 34 other author(s). Science, (2021)The functional connectivity of the human caudate: An application of meta-analytic connectivity modeling with behavioral filtering., , , , , , , , , and 3 other author(s). NeuroImage, 60 (1): 117-129 (2012)Power Estimates for Voxel-Based Genetic Association Studies Using Diffusion Imaging., , , , , , , , , and 4 other author(s). CDMRI/MMBC@MICCAI, page 229-238. Springer, (2013)