Patterns of brain-wide associations reflect socioeconomics

Previous brain-wide association studies (BWAS) cross-sectionally linked a specific behavioral trait, most commonly IQ or psychopathology, to variation in brain function or structure. Here, we expanded the focus of BWAS from effect sizes to interpretability and generalizability by mapping 649 variables to brain function and structure. We compared the resultant BWAS maps to other types of brain data to annotate the BWAS patterns. Socioeconomic status (SES) - not IQ or psychopathology - showed the strongest associations with both resting-state functional connectivity (RSFC) and cortical thickness in the Adolescent Brain Cognitive Development (ABCD) Study. A principal exposome brain pattern, anchored to sensory and motor cortex, captured 34% of the variance across all BWAS maps. This exposome pattern was strongly correlated with the SES and IQ BWAS maps and non-BWAS maps of sleep (EEG), norepinephrine (PET), and stimulants (drug trial), but not cognitive activation maps (task fMRI). Adjusting for SES, reduced brain-IQ associations by 40%. Brain with IQ associations did not generalize, as they could no longer be detected in subsamples drawn from only higher SES backgrounds, while brain with SES associations remained strong in higher-IQ-only subsamples. These findings reveal SES as the principal axis of population-level brain variation, possibly stemming from the sleep deprivation and heightened stress associated with lower SES, since socioeconomics can only indirectly affect the brain.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2025-12-13
DOI
https://doi.org/10.64898/2025.12.10.693206
Citations
1
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
1.43
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article

Patterns of brain-wide associations reflect socioeconomics

Andrew N. Van, Kristen M. Scheidter, Rebecca F. Schwarzlose, Timothy Hendrickson et al.
1 citations
bioRxiv (Cold Spring Harbor Laboratory)
Functional Brain Connectivity Studies
1.43
article

Patterns of brain-wide associations reflect socioeconomics

Andrew N. Van, Kristen M. Scheidter, Rebecca F. Schwarzlose, Timothy Hendrickson, Carlos Cardenas‐Iniguez, Nicole R. Karcher, Megan M. Herting, Benjamin P. Kay, Joan L. Luby, Ashley Meyer, Nico U.F. Dosenbach, Deanna M. Barch, Steven E. Petersen, Roselyne J. Chauvin, Stephen M. Malone, Damien A. Fair, Scott Marek, Brenden Tervo‐Clemmens, Sarah E. Paul, John Miller, Julia Monk, Meghan Rose Donohue, Evan M. Gordon, Caroline P. Hoyniak, Aaron J. Gorelik, Samuel R. Krimmel, Anxu Wang, Timothy O. Laumann, Athanasia Metoki, Vahdeta Suljic, Noah J. Baden, Nadeshka Ramirez-Perez, Anita Randolph, Forest Whiting, Michael Shanahan, Eric Turkheimer
article en
1 citations

Abstract

Previous brain-wide association studies (BWAS) cross-sectionally linked a specific behavioral trait, most commonly IQ or psychopathology, to variation in brain function or structure. Here, we expanded the focus of BWAS from effect sizes to interpretability and generalizability by mapping 649 variables to brain function and structure. We compared the resultant BWAS maps to other types of brain data to annotate the BWAS patterns. Socioeconomic status (SES) - not IQ or psychopathology - showed the strongest associations with both resting-state functional connectivity (RSFC) and cortical thickness in the Adolescent Brain Cognitive Development (ABCD) Study. A principal exposome brain pattern, anchored to sensory and motor cortex, captured 34% of the variance across all BWAS maps. This exposome pattern was strongly correlated with the SES and IQ BWAS maps and non-BWAS maps of sleep (EEG), norepinephrine (PET), and stimulants (drug trial), but not cognitive activation maps (task fMRI). Adjusting for SES, reduced brain-IQ associations by 40%. Brain with IQ associations did not generalize, as they could no longer be detected in subsamples drawn from only higher SES backgrounds, while brain with SES associations remained strong in higher-IQ-only subsamples. These findings reveal SES as the principal axis of population-level brain variation, possibly stemming from the sleep deprivation and heightened stress associated with lower SES, since socioeconomics can only indirectly affect the brain.

bioRxiv (Cold Spring Harbor Laboratory)
University of Southern California (US), University of Minnesota (US), University of Zurich (CH), Washington University in St. Louis (US), Mallinckrodt (United States) (US), University of Minnesota Medical Center (US), Neurological Surgery (US), University of Virginia (US)
Openalex Percentile: Top 13%
Functional Brain Connectivity Studies
1.43
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