Genetic and Environmental Contributions to Functional Connectivity Architecture of the Human Brain
Year: 2016
Type: article
Study design: Observational Study
Abstract: One of the grand challenges faced by neuroscience is to delineate the determinants of interindividual variation in the comprehensive structural and functional connection matrices that comprise the human connectome. At present, this endeavor appears most tractable at the macroanatomic scale, where intrinsic brain activity exhibits robust patterns of synchrony that recapitulate core functional circuits at the individual level. Here, we use a classical twin study design to examine the heritability of intrinsic functional network properties in 101 twin pairs, including network activity (i.e., variance of a network's specific temporal fluctuations) and internetwork coherence (i.e., correlation between networks' specific temporal fluctuations). Five of 7 networks exhibited significantly heritable (23.3-65.2%) network activity, 6 of the 21 internetwork coherences were significantly heritable (25.6-42.0%), and 11 of the 21 internetwork coherences were significantly influenced by common environmental factors (18.0-47.1%). These results suggest that the source of interindividual variation in functional connectome has a modular architecture: individual modules represented by intrinsic connectivity networks are genetic controlled, while environmental factors influence the interplays between the modules. This work further provides network-specific hypotheses for discovery of the specific genetic and environmental factors influencing functional specialization and integration of the human brain.
Source: Cerebral Cortex
Institutions: National Institutes of Health, Chinese Academy of Sciences, Institute of Psychology, Chinese Academy of Sciences, National Institute of Mental Health, The University of Queensland, Nathan Kline Institute for Psychiatric Research, Child Mind Institute, NYU Langone Health, New York University, The University of Sydney, QIMR Berghofer Medical Research Institute
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $5,038
Funders: National Natural Science Foundation of China, Chinese Academy of Sciences, National Institutes of Health, Beijing Nova Program, Institute of Psychology, Chinese Academy of Sciences, National Institute of Mental Health, Eunice Kennedy Shriver National Institute of Child Health and Human Development
Awards: G17088783, G1995321133, G2313320557, Genetic influences on the brain: A twin imaging study, G3567377639, Discovery Science of Human Brain Function Across the Lifespan, G4631646045, G4801651940, G4820593141, G5237870922, Functional and Structural Connectivity in Adult Attention Deficit Hyperactivity D, 精神障碍的神经影像标志的特异性研究, Longitudinal Discovery of Brain Developmental Trajectories, G7175428875, G8038669859, 精神分裂症特异微小RNA的筛选、鉴定及其靶向调控功能研究, G8579418045, G8678213031
OpenAlex ID: W2287766422
