Multivariate environmental exposures are reflected in whole-brain functional connectivity and cognition in youth

AI Summary

Multidimensional exposome variation is reflected in whole brain functional connectivity patterns in early adolescents.
Cross-validated connectome-based predictive models across task and rest identified consistent exposome-associated connections (rs 0.34 to 0.44, p < .001).
Exposome-related connectivity patterns related to cognitive performance across general cognition, executive function and learning and memory; findings were robust across sites.

AI Summary

Recent work has identified a general exposome factor associated with socio-economic inequality that is strongly related to cognition and individual differences in the spatial organization of functional brain networks in youth.

We apply a data-driven, cross-validated, whole-brain machine learning approach, connectome-based statistical inference, to identify patterns of functional connectivity associated with exposome scores among early adolescents enrolled in the Adolescent Brain Cognitive Development (ABCD) Study using data collected during three cognitive tasks and during rest.

Additionally, we investigate whether the identified patterns of functional connectivity relate to individual differences in cognitive performance across three domains: General Cognition, Executive Functioning, and Learning/Memory.

Basic summary

Dev Cogn Neurosci. 2026 Jul 22;81:101788. doi: 10.1016/j.dcn.2026.101788. Online ahead of print.

ABSTRACT

Each individual’s complex, multidimensional environment, known as their “exposome”, plays an essential role in shaping cognitive neurodevelopment. Understanding the mechanisms whereby children’s exposome influences their development is crucial to facilitate the design of interventions to foster positive developmental trajectories for all youth. Recent work has identified a general exposome factor associated with socio-economic inequality that is strongly related to cognition and individual differences in the spatial organization of functional brain networks in youth. Building on these findings, the current study explores whether alterations in functional connectivity may represent a potential mechanism linking variation in the exposome to cognitive performance. We apply a data-driven, cross-validated, whole-brain machine learning approach, connectome-based statistical inference, to identify patterns of functional connectivity associated with exposome scores among early adolescents enrolled in the Adolescent Brain Cognitive Development (ABCD) Study using data collected during three cognitive tasks and during rest. Additionally, we investigate whether the identified patterns of functional connectivity relate to individual differences in cognitive performance across three domains: General Cognition, Executive Functioning, and Learning/Memory. Models incorporating 10-fold cross-validation over 100 iterations identified consistent functional connections associated with the exposome across task and rest conditions (model performance: ns = 6137 – 8391, rs = 0.34-0.44, ps < .001). Results were robust across data collection sites and functional connections common across all significant models were associated with cognitive performance across domains (ps < 0.0009). Collectively, these findings reveal that multidimensional environmental exposures are reflected in patterns of functional connectivity and relate to cognitive functioning among youth.

PMID:42501730 | DOI:10.1016/j.dcn.2026.101788

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