Human brain anatomy reflects separable genetic and environmental components of socioeconomic status

Author:

Kweon Hyeokmoon1ORCID,Aydogan Gökhan2ORCID,Dagher Alain3ORCID,Bzdok Danilo3456ORCID,Ruff Christian C.2ORCID,Nave Gideon7,Farah Martha J.8ORCID,Koellinger Philipp D.19ORCID

Affiliation:

1. Department of Economics, School of Business and Economics, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, Netherlands.

2. Zürich Center for Neuroeconomics (ZNE), Department of Economics, University of Zurich, 8006 Zürich, Switzerland.

3. McConnell Brain Imaging Centre, Montreal Neurological Institute (MNI), McGill University, Montreal, QC H3A 2B4, Canada.

4. Department of Biomedical Engineering, Faculty of Medicine, McGill University, Montreal, QC H3A 2B4, Canada.

5. School of Computer Science, McGill University, Montreal, QC H3A 2A7, Canada.

6. Mila-Quebec Artificial Intelligence Institute, Montreal, QC H2S 3H1, Canada.

7. Marketing Department, the Wharton School, University of Pennsylvania, Philadelphia, PA 19104, USA.

8. Center for Neuroscience & Society, University of Pennsylvania, Philadelphia, PA 19104, USA.

9. La Follette School of Public Affairs, University of Wisconsin-Madison, Madison, WI 53706, USA.

Abstract

Socioeconomic status (SES) correlates with brain structure, a relation of interest given the long-observed relations of SES to cognitive abilities and health. Yet, major questions remain open, in particular, the pattern of causality that underlies this relation. In an unprecedently large study, here, we assess genetic and environmental contributions to SES differences in neuroanatomy. We first establish robust SES–gray matter relations across a number of brain regions, cortical and subcortical. These regional correlates are parsed into predominantly genetic factors and those potentially due to the environment. We show that genetic effects are stronger in some areas (prefrontal cortex, insula) than others. In areas showing less genetic effect (cerebellum, lateral temporal), environmental factors are likely to be influential. Our results imply a complex interplay of genetic and environmental factors that influence the SES-brain relation and may eventually provide insights relevant to policy.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3