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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) \u2014 not IQ or psychopathology \u2014 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\u2013IQ 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.<\/jats:p>","DOI":"10.64898\/2025.12.10.693206","type":"posted-content","created":{"date-parts":[[2025,12,13]],"date-time":"2025-12-13T20:30:11Z","timestamp":1765657811000},"source":"Crossref","is-referenced-by-count":0,"title":["Patterns of brain-wide associations reflect socioeconomics"],"prefix":"10.64898","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0032-9052","authenticated-orcid":false,"given":"Scott","family":"Marek","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meghan 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