Journal
SCIENCE
Volume 335, Issue 6076, Pages 1634-1636Publisher
AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/science.1215330
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Funding
- National Institute on Aging [AG022381, AG018386, AG018384, AG022982, AG031224]
- National Institute of Drug Abuse [DA029475]
- National Institute of Neurological Disorders and Stroke [NS056883]
- National Center for Research Resources [P41-RR14075, BIRN002, U24 RR021382]
- National Institute for Biomedical Imaging and Bioengineering [EB006758]
- National Center for Alternative Medicine [RC1 AT005728-01]
- National Institute for Neurological Disorders and Stroke [NS052585-01, 1R21NS072652-01, 1R01NS070963]
- National Institutes of Health [T32DC000041]
- Ellison Medical Foundation
- VA San Diego Center of Excellence for Stress and Mental Health
- Office of Research and Development, U.S. Department of Veterans Affairs
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Surface area of the cerebral cortex is a highly heritable trait, yet little is known about genetic influences on regional cortical differentiation in humans. Using a data-driven, fuzzy clustering technique with magnetic resonance imaging data from 406 twins, we parceled cortical surface area into genetic subdivisions, creating a human brain atlas based solely on genetically informative data. Boundaries of the genetic divisions corresponded largely to meaningful structural and functional regions; however, the divisions represented previously undescribed phenotypes different from conventional (non-genetically based) parcellation systems. The genetic organization of cortical area was hierarchical, modular, and predominantly bilaterally symmetric across hemispheres. We also found that the results were consistent with human-specific regions being subdivisions of previously described, genetically based lobar regionalization patterns.
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