Genetic influences on individual differences in longitudinal changes in global and subcortical brain volumes: Results of the ENIGMA plasticity working group
Year: 2017
Type: review
Study design: Observational Study
Abstract: ) of changes in global and subcortical brain volumes in five longitudinal twin cohorts from across the world and in different stages of the lifespan (N = 861). Heritability estimates of brain changes were significant and ranged from 16% (caudate) to 42% (cerebellar gray matter) for all global and most subcortical volumes (with the exception of thalamus and pallidum). Heritability estimates of change rates were generally higher in adults than in children suggesting an increasing influence of genetic factors explaining individual differences in brain structural changes with age. In children, environmental influences in part explained individual differences in developmental changes in brain structure. Multivariate genetic modeling showed that genetic influences of change rates and baseline volume significantly overlapped for many structures. The genetic influences explaining individual differences in the change rate for cerebellum, cerebellar gray matter and lateral ventricles were independent of the genetic influences explaining differences in their baseline volumes. These results imply the existence of genetic variants that are specific for brain plasticity, rather than brain volume itself. Identifying these genes may increase our understanding of brain development and ageing and possibly have implications for diseases that are characterized by deviant developmental trajectories of brain structure. Hum Brain Mapp 38:4444-4458, 2017. © 2017 Wiley Periodicals, Inc.
Source: Human Brain Mapping
DOI: 10.1002/hbm.23672
Authors: Rachel M. Brouwer, Matthew S. Panizzon, David C. Glahn, Derrek P. Hibar, Xue Hua, Neda Jahanshad, Lucija Abramovic, Greig I. de Zubicaray, Carol E. Franz, Narelle K. Hansell, Ian B. Hickie, Marinka M.G. Koenis, Nicholas G. Martin, Karen A. Mather, Katie L. McMahon, Hugo G. Schnack, Lachlan T. Strike, Suzanne C. Swagerman, Anbupalam Thalamuthu, Wei Wen, John H. Gilmore, Nitin Gogtay, René S. Kahn, Perminder S. Sachdev, Margaret J. Wright, Dorret I. Boomsma, William S. Kremen, Paul M. Thompson, Hilleke E. Hulshoff Pol
Institutions: University Medical Center Utrecht, University of California San Diego, Yale University, University of Southern California, Queensland University of Technology, The University of Queensland, The University of Sydney, QIMR Berghofer Medical Research Institute, UNSW Sydney, Centre for Healthy Brain Ageing, Vrije Universiteit Amsterdam, University of North Carolina at Chapel Hill, National Institute of Mental Health
Language: English
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
Funders: U.S. Department of Veterans Affairs, Center of Excellence for Stress and Mental Health, Universiteit Utrecht, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Universiteit Stellenbosch, National Institutes of Health, Medical Research Council, National Health and Medical Research Council, National Institute on Aging, National Institute of Mental Health, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering, National Institute of Child Health and Human Development, Eunice Kennedy Shriver National Institute of Child Health and Human Development, H2020 European Research Council
Awards: G104586243, G1067601299, G1181325306, Neurocognitive disorders in the elderly, G126399678, Brain imaging study of twins, G1521692886, G1540112779, G1860789263, Genetic influences on the brain: A twin imaging study, G2651015397, G300706285, G3121891270, G3132569165, A healthy start to life, preventative healthcare, strengthening Australias social economic fabric, G3218804700, The VETSA Longitudinal Twin Study of Cortisol and Aging, G3392333875, G3506393344, G3544081313, G3548594859, G357049385, HARDI Mapping of Disease Effects on the Brain, Role of genes and environment in brain ageing, G4011797202, Australian Twin Registry, Alzheimer's disease risk analyzed using population imaging genomics, G471988321, G4805832265, G5109451877, G519183068, The VETSA Longitudinal MRI Twin Study of Aging, G5618267289, Alzheimer's Disease Neuroimaging Initiative, G5732418131, Genetics of brain structure and function, G5854418965, ENIGMA Center for Worldwide Medicine, Imaging & Genomics, G6144234142, G70080636, The Older Australian Twins Study (OATS), G7051567, The VETSA Longitudinal Twin Study of Cognition and Aging, G7972157037, Growth factors, neuroinflammation, exercise, and brain integrity, Neurocognitive disorders in the elderly, Laboratory of Neuro Imaging Resource (LONIR), G8304064054, The VETSA Longitudinal Twin Study of Cognition and Aging (VETSA 4), Predicting Brain Changes in HIV/AIDS, G9000014679, G9000019243, G9000039018, G9000086862, G9000122335, G9000156803, G9000210308, G9000217585, Alzheimer's Disease Neuroimaging Initiative (ADNI4), G976534054, Neurodevelopment and Imaging among HIV-infected Children from the PREDICT study
OpenAlex ID: W2623966175