title: Genetic Effects on Fine-Grained Human Cortical Regionalization.
abstract: Various brain structural and functional features such as cytoarchitecture, topographic mapping, gyral/sulcal anatomy, and anatomical and functional connectivity have been used in human brain parcellation. However, the fine-grained intrinsic genetic architecture of the cortex remains unknown. In the present study, we parcellated specific regions of the cortex into subregions based on genetic correlations (i.e., shared genetic influences) between the surface area of each pair of cortical locations within the seed region. The genetic correlations were estimated by comparing the correlations of the surface area between monozygotic and dizygotic twins using bivariate twin models. Our genetic subdivisions of diverse brain regions were reproducible across 2 independent datasets and corresponded closely to fine-grained functional specializations. Furthermore, subregional genetic correlation profiles were generally consistent with functional connectivity patterns. Our findings indicate that the magnitude of the genetic covariance in brain anatomy could be used to delineate the boundaries of functional subregions of the brain and may be of value in the next generation human brain atlas.
authors.affiliation: Brainnetome Center National Laboratory of Pattern Recognition.
authors.forename: Yue
authors.initials: Y
authors.lastname: Cui
authors.affiliation: Brainnetome Center National Laboratory of Pattern Recognition.
authors.forename: Bing
authors.initials: B
authors.lastname: Liu
authors.affiliation: Key Laboratory of Behavioral Science Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
authors.forename: Yuan
authors.initials: Y
authors.lastname: Zhou
authors.affiliation: Brainnetome Center National Laboratory of Pattern Recognition.
authors.forename: Lingzhong
authors.initials: L
authors.lastname: Fan
authors.affiliation: Brainnetome Center National Laboratory of Pattern Recognition.
authors.forename: Jin
authors.initials: J
authors.lastname: Li
authors.affiliation: Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.
authors.forename: Yun
authors.initials: Y
authors.lastname: Zhang
authors.affiliation: Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China Guangzhou Brain Hospital, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China.
authors.forename: Huawang
authors.initials: H
authors.lastname: Wu
authors.affiliation: Brainnetome Center National Laboratory of Pattern Recognition.
authors.forename: Bing
authors.initials: B
authors.lastname: Hou
authors.affiliation: Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.
authors.forename: Chao
authors.initials: C
authors.lastname: Wang
authors.affiliation: Brainnetome Center National Laboratory of Pattern Recognition.
authors.forename: Fanfan
authors.initials: F
authors.lastname: Zheng
authors.affiliation: Brainnetome Center National Laboratory of Pattern Recognition.
authors.forename: Chengxiang
authors.initials: C
authors.lastname: Qiu
authors.affiliation: Key Laboratory of Behavioral Science Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
authors.forename: Li-Lin
authors.initials: LL
authors.lastname: Rao
authors.affiliation: Guangzhou Brain Hospital, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China.
authors.forename: Yuping
authors.initials: Y
authors.lastname: Ning
authors.affiliation: Key Laboratory of Behavioral Science Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
authors.forename: Shu
authors.initials: S
authors.lastname: Li
authors.affiliation: Brainnetome Center National Laboratory of Pattern Recognition CAS Center for Excellence in Brain Science, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China Queensland Brain Institute, University of Queensland, Brisbane QLD 4072, Australia.
authors.forename: Tianzi
authors.initials: T
authors.lastname: Jiang
mesh_terms: D002540:Cerebral Cortex / Q000033:anatomy & histology* / Q000502:physiology*; D063132:Connectome / Q000379:methods; D005260:Female; D006801:Humans; D008297:Male; D009415:Nerve Net / Q000033:anatomy & histology* / Q000502:physiology*; D009434:Neural Pathways / Q000033:anatomy & histology / Q000502:physiology; D014427:Twins / Q000235:genetics*; D055815:Young Adult
keywords: cortical regionalization; genetic correlation; genetics; surface area; twins