Titre
Large-scale georeferenced neuroimaging and psychometry data link the urban environmental exposome with brain health.
Type
article
Institution
UNIL/CHUV/Unisanté + institutions partenaires
Périodique
Auteur(s)
Ruas, M.V.
Auteure/Auteur
Vajana, E.
Auteure/Auteur
Kherif, F.
Auteure/Auteur
Lutti, A.
Auteure/Auteur
Preisig, M.
Auteure/Auteur
Strippoli, M.P.
Auteure/Auteur
Vollenweider, P.
Auteure/Auteur
Marques-Vidal, P.
Auteure/Auteur
von Gunten, A.
Auteure/Auteur
Joost, S.
Auteure/Auteur
Draganski, B.
Auteure/Auteur
ISSN
1096-0953
Statut éditorial
Publié
Date de publication
2025-02-15
Volume
267
Première page
120632
Peer-reviewed
Oui
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Publication Status: ppublish
Résumé
In face of cumulating evidence about the impact of human-induced environmental changes on mental health and behavior, our understanding of the main effects and interactions between environmental factors - i.e., the exposome and the brain - is still limited. We seek to fill this knowledge gap by leveraging georeferenced large-scale brain imaging and psychometry data from the adult community-dwelling population (n = 2672; mean age 63 ± 10 years). For monitoring brain anatomy, we extract morphometry features from a nested subset of the cohort (n = 944) with magnetic resonance imaging. Using an iterative analytical strategy testing the moderator role of geospatially encoded exposome factors on the association between brain anatomy and psychometry, we demonstrate that individuals' anxiety state and psychosocial functioning are among the mental health characteristics showing associations with the urban exposome. The clusters of higher anxiety state and lower current psychosocial functioning coincide spatially with a lower vegetation density and higher air pollution. The univariate multiscale geographically weighted regression identifies the spatial scale of associations between individuals' levels of anxiety state, psychosocial functioning, and overall cognition with vegetation density, air pollution and structures of the limbic network. Moreover, the multiscale geographically weighted regression interaction model reveals spatially confined exposome features with moderating effect on the brain-psychometry/cognitive performance relationships. Our original findings testing the role of exposome factors on brain and behavior at the individual level, underscore the role of environmental and spatial context in moderating brain-behavior dynamics across the adult lifespan.
PID Serval
serval:BIB_7E90DB72CEF3
PMID
Open Access
Oui
Date de création
2024-12-20T10:32:17.012Z
Date de création dans IRIS
2025-05-20T23:34:03Z
Fichier(s)![Vignette d'image]()
En cours de chargement...
Nom
39675451.pdf
Version du manuscrit
published
Licence
https://creativecommons.org/licenses/by/4.0
Taille
14.72 MB
Format
Adobe PDF
PID Serval
serval:BIB_7E90DB72CEF3.P001
URN
urn:nbn:ch:serval-BIB_7E90DB72CEF36
Somme de contrôle
(MD5):2906483a4ac078d155ee613518b75b66