Patterns of brain-wide associations reflect socioeconomics

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Authors: Scott A. Marek, Meghan Rose Donohue, Nicole R. Karcher, Caroline P. Hoyniak, Roselyne J. M. Chauvin, Ashley Meyer, John M. Miller, Andrew N. Van, Anxu Wang, Noah J. Baden, Vahdeta Suljic, Kristen M. Scheidter
+24 more Julia Monk, Forest Whiting, Nadeshka J. Ramirez-Perez, Samuel R. Krimmel, Athanasia Metoki, Sarah E. Paul, Aaron J. Gorelik, Timothy Hendrickson, Stephen M. Malone, Rebecca F. Schwarzlose, Carlos Cardenas‐Iniguez, Megan M. Herting, Steven E. Petersen, Joan L. Luby, Anita Randolph, Michael Shanahan, Eric N. Turkheimer, Benjamin P. Kay, Evan M. Gordon, Timothy O. Laumann, Deanna M. Barch, Damien A. Fair, Brenden Tervo‐Clemmens, Nico U.F. Dosenbach
Cited by: 1
References: 108

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.

Fields of Study & Subjects

Functional Brain Connectivity Studies Health Environment Cognitive Aging Mental Health Research Topics

Publication details

Journal / source
Science
Publisher
American Association for the Advancement of Science (AAAS)
Volume
392
Issue
6803
Pages
eaee6213–eaee6213
Publication date
11 June 2026
Language
EN