Evidence map›Paper›PMID 40799739›Full record

ArticleResearch square2025

Exploring risk and protective urban environmental factors on mental health through exposure network mapping.

Na Luo, Zhengyi Yang, Ming Song, Shiqi Di, Congying Chu, Weiyang Shi, Yuyanan Zhang, Weihua Yue, Jing Sui, Vince Calhoun and 1 more

Abstract readPreprint
In one paragraph

Article in Research square, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Na LuoInstitute of automation, Chinese academy of sciences.
Zhengyi YangInstitute of automation, Chinese academy of sciences.
Ming SongInstitute of automation, Chinese academy of sciences.
Shiqi DiUniversity of Chinese Academy of Sciences.
Congying ChuInstitute of automation, Chinese academy of sciences.
Weiyang ShiInstitute of automation, Chinese academy of sciences.
Yuyanan ZhangPeking University Sixth Hospital, Peking University Institute of Mental Health.
Weihua YuePeking University Sixth Hospital, Peking University Institute of Mental Health.
Jing SuiBeijing Normal University.
Vince CalhounGeorgia State University, Georgia Institute of Technology, Emory University.
Tianzi JiangInstitute of automation, Chinese academy of sciences.

Funding

Male/Female differences in psychosis and mood disorders:Dynamic imaging-genomic models for characterizing and predicting psychosis and mood dR01MH118695 · NIMH · GEORGIA STATE UNIVERSITY · PI ADALI, TULAY, CALHOUN, VINCE D · 2019 to 2023
$3.8M
A decentralized macro and micro gene-by-environment interaction analysis of substance use behavior and its brain biomarkers R01DA049238 · NIDA · GEORGIA STATE UNIVERSITY · PI CALHOUN, VINCE D, LIU, JINGYU · 2019 to 2023
$2.9M
NIDA NIH HHS R01 DA049238NIMH NIH HHS R01 MH118695
6 · The paper itself

Abstract

backgroundUrbanicity 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.

methodsBased 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.

resultsUsing 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(

conclusionThis 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.

Indexed as

exposomehuman brain networkspsychiatrysleepstressurbanicity

Identifiers

PMID40799739
PMCPMC12340902

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.