Luo Na, Yang Zhengyi, Song Ming, Di Shiqi, Chu Congying, Shi Weiyang, Zhang Yuyanan, Yue Weihua, Sui Jing, Calhoun Vince, Jiang Tianzi
Institute of automation, Chinese academy of sciences.
University of Chinese Academy of Sciences.
Res Sq. 2025 Aug 6:rs.3.rs-7155816. doi: 10.21203/rs.3.rs-7155816/v1.
Urbanicity has been revealed to carry a higher risk of experiencing mental health issues. However, the factors in urban environments that pose risks or protective impacts on mental health remain unclear.
Based on eight literature-based datasets and one validation dataset, this study introduced a new technique termed exposure network mapping (ENM) to explore the impacts of urbanicity on brain networks, identify the potential risk urban environmental factors, and examine whether healthy lifestyle habits may provide protective effects on mental health.
Using ENM, this study consolidated existing heterogenous coordinates of urbanicity into a common, significant and replicable network, which primarily located in middle frontal gyrus, orbital gyrus and anterior cingulate gyrus. When conducting ENM analysis using coordinates of five representative factors (i.e., air pollution, noise pollution, income, stress, and green space), only seeds derived from stress significantly converged to a common network, highlighting orbital gyrus, caudate, anterior and middle cingulate gyrus, hippocampus and middle frontal gyrus. The ENM-stress map further exhibited the highest correlation with both the ENM-urbanicity map( = 0.77) and a transdiagnostic map( = 0.72). Finally, ENM analysis using coordinates of sleep also enriched in a distinct common network, featuring middle cingulate gyrus, orbital gyrus, caudate and putamen, which concurrently demonstrated strong correlations with urbanicity( = 0.75), stress( = 0.80), and the transdiagnostic map( = 0.55).
This study highlights the potential risks of urbanicity and stress on brain networks, as well as the protective role of healthy habitats-particularly sleep-in safeguarding mental health, which may offer new insights for preventing mental health issues in urban environments.
研究表明,城市化会带来更高的心理健康问题风险。然而,城市环境中对心理健康构成风险或具有保护作用的因素仍不明确。
基于八个基于文献的数据集和一个验证数据集,本研究引入了一种名为暴露网络映射(ENM)的新技术,以探索城市化对脑网络的影响,识别潜在的城市环境风险因素,并检验健康的生活方式习惯是否可能对心理健康起到保护作用。
利用ENM,本研究将现有的异质性城市化坐标整合为一个共同的、显著且可重复的网络,该网络主要位于额中回、眶回和前扣带回。当使用五个代表性因素(即空气污染、噪音污染、收入、压力和绿地)的坐标进行ENM分析时,只有来自压力的种子显著汇聚到一个共同网络,突出显示了眶回、尾状核、前扣带回和中扣带回、海马体和额中回。ENM-压力图与ENM-城市化图(r = 0.77)和跨诊断图(r = 0.72)的相关性最高。最后,使用睡眠坐标进行的ENM分析也富集在一个独特的共同网络中,其特征为中扣带回、眶回、尾状核和壳核,该网络同时与城市化(r = 0.75)、压力(r = 0.80)和跨诊断图(r = 0.55)显示出强相关性。
本研究强调了城市化和压力对脑网络的潜在风险,以及健康的生活环境——尤其是睡眠——在维护心理健康方面的保护作用,这可能为预防城市环境中的心理健康问题提供新的见解。