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Population variability in social brain morphology: links to socioeconomic status and health disparity

Nathania Suryoputri, Hannah Kiesow, Danilo Bzdok
doi: https://doi.org/10.1101/2020.09.24.312017
Nathania Suryoputri
aDepartment of Medical Engineering and Technomathematics, FH Aachen University of Applied Sciences, Jülich, Germany
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Hannah Kiesow
bDepartment of Psychiatry, Psychotherapy, and Psychosomatics, RWTH Aachen, Germany
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  • For correspondence: hkiesow@ukaachen.de
Danilo Bzdok
cDepartment of Biomedical Engineering, Faculty of Medicine, McGill University, Montréal, QC H3A2B4, Canada
dMila - Quebec Artificial Intelligence Institute, Canada
eMcConnell Brain Imaging Centre (BIC), Montreal Neurological Institute (MNI), McGill University, Montréal, QC H3A2B4, Canada
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Abstract

Health disparity across layers of society involves reasons beyond the healthcare system. Socioeconomic status (SES) shapes people’s daily interaction with their social environment, and is known to impact various health outcomes. Using generative probabilistic modeling, we investigated health satisfaction and complementary indicators of socioeconomic lifestyle in the human social brain. In a population cohort of ~10,000 UK Biobank participants, our first analysis probed the relationship between health status and subjective social standing (i.e., financial satisfaction). We identified volume effects in participants unhappy with their health in regions of the higher associative cortex, especially the dorsomedial prefrontal cortex (dmPFC) and bilateral temporo-parietal junction (TPJ). Specifically, participants in poor subjective health showed deviations in dmPFC and TPJ volume as a function of financial satisfaction. The second analysis on health status and objective social standing (i.e., household income) revealed volume deviations in regions of the limbic system for individuals feeling unhealthy. In particular, low-SES participants dissatisfied with their health showed deviations in volume distributions in the amygdala and hippocampus bilaterally. Thus, our population-level evidence speaks to the possibility that health status and socioeconomic position have characteristic imprints in social brain differentiation.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted September 25, 2020.
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Population variability in social brain morphology: links to socioeconomic status and health disparity
Nathania Suryoputri, Hannah Kiesow, Danilo Bzdok
bioRxiv 2020.09.24.312017; doi: https://doi.org/10.1101/2020.09.24.312017
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Population variability in social brain morphology: links to socioeconomic status and health disparity
Nathania Suryoputri, Hannah Kiesow, Danilo Bzdok
bioRxiv 2020.09.24.312017; doi: https://doi.org/10.1101/2020.09.24.312017

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