4.8 Article

Heritability of individualized cortical network topography

出版社

NATL ACAD SCIENCES
DOI: 10.1073/pnas.2016271118

关键词

heritability; individualized parcellation; resting-state; function brain networks; functional connectome

资金

  1. NIH [RO1M H120080, K99/R00AG054573, R01LM012719, R01AG053949]
  2. NSF [DGE-1122492, CAREER 1748377, NeuroNex 1707312]
  3. Singapore National Research Foundation Fellowship
  4. National University of Singapore Yong Loo Lin School of Medicine [NUHSR0/2020/124TTMR/LOA]
  5. 16 NIH institutes and centers [1U54MH091657]
  6. McDonnell Center for Systems Neuroscience at Washington University [1U54MH091657]

向作者/读者索取更多资源

This study reveals genetic factors influence individual variability in the size and topographic organization of cortical networks. Heteromodal association networks show increased variability and reduced heritability compared to unimodal sensory/motor cortex. Genetic influence on brain organization varies regionally, with the greatest heritability observed in prefrontal, precuneus, and posterior parietal cortex.
Human cortex is patterned by a complex and interdigitated web of large-scale functional networks. Recent methodological breakthroughs reveal variation in the size, shape, and spatial topography of cortical networks across individuals. While spatial network organization emerges across development, is stable over time, and is predictive of behavior, it is not yet clear to what extent genetic factors underlie interindividual differences in network topography. Here, leveraging a nonlinear multidimensional estimation of heritability, we provide evidence that individual variability in the size and topographic organization of cortical networks are under genetic control. Using twin and family data from the Human Connectome Project (n = 1,023), we find increased variability and reduced heritability in the size of heteromodal association networks (h(2): M = 0.34, SD = 0.070), relative to unimodal sensory/motor cortex (h(2): M = 0.40, SD = 0.097). We then demonstrate that the spatial layout of cortical networks is influenced by genetics, using our multidimensional estimation of heritability (h(2) -multi; M = 0.14, SD = 0.015). However, topographic heritability did not differ between heteromodal and unimodal networks. Genetic factors had a regionally variable influence on brain organization, such that the heritability of network topography was greatest in prefrontal, precuneus, and posterior parietal cortex. Taken together, these data are consistent with relaxed genetic control of association cortices relative to primary sensory/motor regions and have implications for understanding population -level variability in brain functioning, guiding both individualized prediction and the interpretation of analyses that integrate genetics and neuroimaging.

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