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Genetic control over the resting brain
Open accessAbstract
The default-mode network, a coherent resting-state brain network, is thought to characterize basal neural activity. Aberrant default-mode connectivity has been reported in a host of neurological and psychiatric illnesses and in persons at genetic risk for such illnesses. Whereas the neurophysiologic mechanisms that regulate default-mode connectivity are unclear, there is growing evidence that genetic factors play a role. In this report, we estimate the importance of genetic effects on the default-mode network by examining covariation patterns in functional connectivity among 333 individuals from 29 randomly selected extended pedigrees. Heritability for default-mode functional connectivity was 0.424 ± 0.17 ( P = 0.0046). Although neuroanatomic variation in this network was also heritable, the genetic factors that influence default-mode functional connectivity and gray-matter density seem to be distinct, suggesting that unique genes influence the structure and function of the network. In contrast, significant genetic correlations between regions within the network provide evidence that the same genetic factors contribute to variation in functional connectivity throughout the default mode. Specifically, the left parahippocampal region was genetically correlated with all other network regions. In addition, the posterior cingulate/precuneus region, medial prefrontal cortex, and right cerebellum seem to form a subnetwork. Default-mode functional connectivity is influenced by genetic factors that cannot be attributed to anatomic variation or a single region within the network. By establishing the heritability of default-mode functional connectivity, this experiment provides the obligatory evidence required before these measures can be considered as endophenotypes for psychiatric or neurological illnesses or to identify genes influencing intrinsic brain function.
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“the heritability of tract-based FA in neonates149, 150 and in 9- and 12-year-olds151 is relatively low”
From Imaging structural and functional brain development in early childhood (2018) · cites this paper as [150]
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Metadata
- Authors
- Glahn, D. C., Winkler, A. M., Kochunov, P., Almasy, L., Duggirala, R., Carless, M. A., Curran, J. C., Olvera, R. L., Laird, A. R., Smith, S. M., Beckmann, C. F., Fox, P. T., & Blangero, J.
- Affiliations
- Hartford Hospital (US)
- The University of Texas at San Antonio Health Science Center (US)
- Texas Biomedical Research Institute (US)
- Department of Genetics, Southwest Foundation for Biomedical Research, San Antonio, TX 78245;
- University of Oxford (GB)
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2010-01-19
- Volume
- 107
- Issue
- 3
- Pages
- 1223-1228
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC2824276
- OpenAlex
- W2158611196
- Cited by
- 450
- References
- 52
- Citations by year
- 2026: 7 · 2025: 18 · 2024: 15 · 2023: 18 · 2022: 27 · 2021: 35 · 2020: 27 · 2019: 36 · 2018: 34 · 2017: 33 · 2016: 39 · 2015: 28 · 2014: 29 · 2013: 35 · 2012: 39
- FWCI
- 19.88
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Open Repository and Bibliography (University of Liège) (submittedVersion, other-oa)
- ScholarWorks @ UTRGV (The University of Texas Rio Grande Valley) (submittedVersion)
- 57th Annual Meeting (October 26-31, 2010)
- Funders
- National Institute of Mental Health (R01MH078111, R37MH059490, R01MH074457, MH0708143, -MH078111, R01MH083824, MH083824, MH59490, R01MH059490)
- National Institute of Biomedical Imaging and Bioengineering (EB006395, K01EB006395)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- default mode network, resting-state functional connectivity, heritability, genetic correlation, extended pedigrees, gray matter density, parahippocampal region, posterior cingulate cortex, precuneus, medial prefrontal cortex, cerebellum, endophenotypes
- MeSH terms
- Brain, Humans, Magnetic Resonance Imaging, Genome, Human
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