Literature DB >> 31911159

Twin MRI studies on genetic and environmental determinants of brain morphology and function in the early lifespan.

Eleonora Maggioni1, Letizia Squarcina2, Nicola Dusi1, Vaibhav A Diwadkar3, Paolo Brambilla4.   

Abstract

Neurodevelopment represents a period of increased opportunity and vulnerability, during which a complex confluence of genetic and environmental factors influences brain growth trajectories, cognitive and mental health outcomes. Recently, magnetic resonance imaging (MRI) studies on twins have increased our knowledge of the extent to which genes, the environment and their interactions shape inter-individual brain variability. The present review draws from highly salient MRI studies in young twin samples to provide a robust assessment of the heritability of structural and functional brain changes during development. The available studies suggest that (as with many other traits), global brain morphology and network organization are highly heritable from early childhood to young adulthood. Conversely, genetic correlations among brain regions exhibit heterogeneous trajectories, and this heterogeneity reflects the progressive, experience-related increase in brain network complexity. Studies also support the key role of environment in mediating brain network differentiation via changes of genetic expression and hormonal levels. Thus, rest- and task-related functional brain circuits seem to result from a contextual and dynamic expression of heritability.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Keywords:  Diffusion tensor imaging; Functional magnetic resonance imaging; Gene-environment; Heritability; Imaging-genetics; Neurodevelopment; Structural magnetic resonance imaging; Twin modeling

Mesh:

Year:  2020        PMID: 31911159     DOI: 10.1016/j.neubiorev.2020.01.003

Source DB:  PubMed          Journal:  Neurosci Biobehav Rev        ISSN: 0149-7634            Impact factor:   8.989


  1 in total

1.  Reconfigured metabolism brain network in asymptomatic microtubule-associated protein tau mutation carriers: a graph theoretical analysis.

Authors:  Li Liu; Min Chu; Binbin Nie; Lin Liu; Kexin Xie; Yue Cui; Yu Kong; Zhongyun Chen; Haitian Nan; Kewei Chen; Pedro Rosa-Neto; Liyong Wu
Journal:  Alzheimers Res Ther       Date:  2022-04-11       Impact factor: 8.823

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.