{"version":1,"components":[{"id":"bafybeibtmkgimn37pv7fvbpxhi7hiig6yw7ykumfsollmtgipwwolq5jgy","name":"Research Report","type":"pdf","payload":{"url":"https://ipfs.desci.com/ipfs/bafybeibtmkgimn37pv7fvbpxhi7hiig6yw7ykumfsollmtgipwwolq5jgy","annotations":[],"keywords":[" socio-economic status","grey matter volume","brain anatomy","voxel-based morphometry"],"description":"Recent studies report that socioeconomic status (SES) correlates with brain structure. Yet, such findings are variable and little is known about underlying causes. We present a well-powered voxel-based analysis of grey matter volume (GMV) across levels of SES, finding many small SES effects widely distributed across the brain, including cortical, subcortical and cerebellar regions. We also construct a polygenic index of SES to control for the additive effects of common genetic variation related to SES, which attenuates observed SES-GMV relations, to different degrees in different areas. Remaining variance, which may be attributable to environmental factors, is substantially accounted for by body mass index, a marker for lifestyle related to SES. In sum, SES affects multiple brain regions through measurable genetic and environmental effects.","licenseType":"CC BY"}}],"contributors":[],"dpid":{"prefix":"beta","id":"3"}}