Evidence map›Paper›PMID 40641318›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Genetic Evidence Supporting a Role for Brain Region Volume and Functional Network Alterations in Major Depression.

Ming-Min Xu, Nan Li, Yi-Wen Lv, Wen-Miao Yang, Zhi-Yun Yu, Yi-Min Zhang, Yu Guo, Xiao-Yin Chen

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. [Potential biological mechanisms underlying spaceflight-induced depression symptoms in astronauts].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025
    Review
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

8 authors.

Ming-Min XuSchool of Traditional Chinese Medicine, Jinan University, Guangzhou, 510632, China.
Nan LiSchool of Traditional Chinese Medicine, Jinan University, Guangzhou, 510632, China.
Yi-Wen LvSchool of Traditional Chinese Medicine, Jinan University, Guangzhou, 510632, China.
Wen-Miao YangSchool of Traditional Chinese Medicine, Jinan University, Guangzhou, 510632, China.
Zhi-Yun YuSchool of Traditional Chinese Medicine, Jinan University, Guangzhou, 510632, China.
Yi-Min ZhangSchool of Traditional Chinese Medicine, Jinan University, Guangzhou, 510632, China.
Yu GuoSchool of Traditional Chinese Medicine, Jinan University, Guangzhou, 510632, China.
Xiao-Yin ChenSchool of Traditional Chinese Medicine, Jinan University, Guangzhou, 510632, China.ORCID https://orcid.org/0000-0001-5109-4287

Funding

China Postdoctoral Science Foundation 2022M721358Guangdong Basic and Applied Basic Research Foundation 2020A1515110571Guangzhou Key Laboratory of Formula-Pattern of Traditional Chinese Medicine 202102010014National Natural Science Foundation of China 82104983National Natural Science Foundation of China 82174253National Natural Science Foundation of China 82205270National Natural Science Foundation of China 82374319National Natural Science Foundation of China 82474207National Natural Science Foundation of China 82474370Scientific Research Program by Traditional Chinese Medicine Bureau of Guangdong Province 20231088
6 · The paper itself

Abstract

Despite emerging evidence of altered brain region volumes and functional networks in major depression (MD), causal relationships remain unexplored. Here, using genetic variants related to human brain morphometry (n = 36778) and functional networks (n = 47276), bidirectional two-sample and multivariable Mendelian randomization (MR) is performed to systematically investigate causal relationships between 83 brain-wide volumes, 191 resting-state functional magnetic resonance imaging phenotypes, and MD to identify core brain region volumes and functional networks associated with MD onset. Unlike other severe psychiatric disorders, reductions in left and right ventral diencephalon and thalamus volumes, together with decreased functional connectivity between the precuneus, cuneus, or cingulate gyri and frontal regions within the triple network (default mode network, central executive network, and salience network) uniquely predict MD onset. Using the identified markers as mediators in two-step MR recommends quitting smoking, moderately increasing alcohol frequency without developing alcohol use disorder, engaging in walking for leisure, and participating in exercises (e.g., swimming, cycling, keep fit, bowling) to positively influence imaging phenotypes and reduce MD risk. These findings enhance the understanding of predictive outcomes in brain imaging and support proactive prevention of severe mental health disorders through behavioral modifications.

Indexed as

BrainMajor Depressive DisorderNerve NetAdultFemaleHumansMagnetic Resonance ImagingMaleMendelian Randomization AnalysisMiddle Agedbrain functional networkbrain region volumedaily behavioral preventionmajor depressionMendelian randomizationrisk prediction

Identifiers

PMID40641318
PMCPMC12499405

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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.