Cited by 217Genetic Associations and EpidemiologyCognitive Abilities and TestingAdvanced Neuroimaging Techniques and Applications

Genetic topography of brain morphology

Open access
Chen, Chi-Hua, Fiecas, Mark, Gutiérrez, E. D., Panizzon, Matthew S., Eyler, Lisa T., Vuoksimaa, Eero, Thompson, Wesley K., Fennema-Notestine, Christine +9 more·2013·Proceedings of the National Academy of Sciences

Abstract

Significance: How diverse functional cortical regions develop is an important neuroscience question. Animal experiments show that regional differentiation is controlled by genes that express in a graded and regionalized pattern; however, such investigation in humans is scarce. Using noninvasive imaging techniques to acquire brain structure data of genetically related subjects (i.e., twins), we estimated the spatial pattern of genetic influences on cortical structure. We developed a genetic parcellation of cortical thickness to delineate the boundaries of cortical divisions that are—within each division—maximally under control of shared genetic influences. We also found differences in genetic influences on cortical surface area and thickness along two orthogonal axes. The concept of gradations is crucial for understanding the organization of the human brain.

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Crossref · 10.1073/pnas.1308091110

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  • Twin studies in adults and older children find high genetic contribution to variance of global brain-tissue volumes, with heritability estimates typically greater than 80% for global grey and white matter.

    “Twin studies in adults and older children find that the genetic contribution to variance of global brain-tissue volumes is high, with heritability [G] estimates typically greater than 80% for global grey and white matter142, 143.”

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Research works printed but not linked: 2

  1. [5]Bishop KM, Rubenstein JL, O ' Leary DD (2002) Distinct actions of Emx1, Emx2, and Pax6 in regulating the speci fi cation of areas in the developing neocortex. J Neurosci 22(17): 7627 -7638.
  2. [28]Rimol LM, et al. (2010) Cortical thickness is in fl uenced by regionally speci fi c genetic factors. Biol Psychiatry 67(5):493 -499.

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Authors
Chen, C.-H., Fiecas, M., Gutiérrez, E. D., Panizzon, M. S., Eyler, L. T., Vuoksimaa, E., Thompson, W. K., Fennema-Notestine, C., Hagler, D. J., Jernigan, T. L., Neale, M. C., Franz, C. E., Lyons, M. J., Fischl, B., Tsuang, M. T., Dale, A. M., & Kremen, W. S.
Affiliations
  • University of California San Diego (US)
  • Departments of aPsychiatry,
  • Cognitive Science,
  • VA San Diego Healthcare System (US)
  • University of Helsinki (FI)
  • Radiology, and
  • Virginia Commonwealth University (US)
  • Boston University (US)
  • Harvard University (US)
  • Center of Excellence for Stress and Mental Health (US)
Venue
Proceedings of the National Academy of Sciences
Published
2013-09-30
Volume
110
Issue
42
Pages
17089-17094
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1984714101
Cited by
217
References
53
Citations by year
2026: 9 · 2025: 8 · 2024: 12 · 2023: 15 · 2022: 17 · 2021: 23 · 2020: 23 · 2019: 16 · 2018: 18 · 2017: 19 · 2016: 22 · 2015: 23 · 2014: 12
FWCI
12.57
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
  • Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
  • DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
Funders
  • U.S. Department of Veterans Affairs
  • National Institute on Aging (R01AG031224, AG031224, AG 022982, R01AG022982, AG022381, R01AG022381, AG 018384, R01AG018384, R01AG018386, AG018386)
  • National Institute on Drug Abuse (RC2DA029475, DA029475)
  • National Institute of Neurological Disorders and Stroke (U54NS056883, NS056883)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Keywords
brain structure, cortical thickness, cortical surface area, cortical development, dorsal-ventral axis, anterior-posterior axis, genetic correlation, brain development
MeSH terms
Brain, Cerebral Cortex, Genetics, Medical, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Radiography, Twins, Dizygotic, Twins, Monozygotic, Cohort Studies

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