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大规模地理参考神经影像和心理测量数据将城市环境暴露组与大脑健康联系起来。

Large-scale georeferenced neuroimaging and psychometry data link the urban environmental exposome with brain health.

作者信息

Ruas Marco Vieira, Vajana Elia, Kherif Ferath, Lutti Antoine, Preisig Martin, Strippoli Marie-Pierre, Vollenweider Peter, Marques-Vidal Pedro, von Gunten Armin, Joost Stéphane, Draganski Bogdan

机构信息

Geospatial Molecular Epidemiology Group (GEOME), Laboratory for Biological Geochemistry (LGB), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

Institute of Biosciences and Bioresources (IBBR-FI), National Research Council (CNR), Sesto Fiorentino, Italy.

出版信息

Environ Res. 2025 Feb 15;267:120632. doi: 10.1016/j.envres.2024.120632. Epub 2024 Dec 13.

DOI:10.1016/j.envres.2024.120632
PMID:39675451
Abstract

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.

摘要

面对越来越多关于人为环境变化对心理健康和行为影响的证据,我们对环境因素(即暴露组和大脑)之间的主要影响和相互作用的理解仍然有限。我们试图通过利用来自成年社区居住人群(n = 2672;平均年龄63±10岁)的地理参考大规模脑成像和心理测量数据来填补这一知识空白。为了监测脑解剖结构,我们使用磁共振成像从队列的一个嵌套子集中(n = 944)提取形态测量特征。通过一种迭代分析策略,测试地理空间编码的暴露组因素对脑解剖结构与心理测量之间关联的调节作用,我们证明个体的焦虑状态和心理社会功能是与城市暴露组显示出关联的心理健康特征之一。较高焦虑状态和较低当前心理社会功能的集群在空间上与较低的植被密度和较高的空气污染相吻合。单变量多尺度地理加权回归确定了个体焦虑状态、心理社会功能和整体认知水平与植被密度、空气污染和边缘网络结构之间关联的空间尺度。此外,多尺度地理加权回归交互模型揭示了对脑 - 心理测量/认知表现关系具有调节作用的空间受限暴露组特征。我们在个体水平上测试暴露组因素对大脑和行为作用的原始发现,强调了环境和空间背景在调节整个成年期脑 - 行为动态中的作用。

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