Evidence map›Paper›PMID 40467567›Full record

ArticleTranslational psychiatry2025

Family history, inflammation, and cerebellum in major depression: a combined VBM and dynamic functional connectivity study.

Jianyue Pang, Jiaying Xu, Long Chen, Huimin Teng, Chenxiao Su, Zhiyuan Zhang, Lingyun Gao, Rui Zhang, Gang Liu, Yuan Chen and 3 more

Abstract read
In one paragraph

Article in Translational psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Cerebellar astrocytic alterations in depression.Translational psychiatry · 2026
    Article
  2. Article
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

13 authors.

Jianyue PangDepartment of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jiaying XuHenan Key Laboratory of Brain Science and Brain-Computer Interface Technology, School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China.
Long ChenDepartment of Neurosurgery, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, China.
Huimin TengDepartment of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Chenxiao SuDepartment of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zhiyuan ZhangHenan Key Laboratory of Brain Science and Brain-Computer Interface Technology, School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China.
Lingyun GaoHenan Key Laboratory of Brain Science and Brain-Computer Interface Technology, School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China.
Rui ZhangHenan Key Laboratory of Brain Science and Brain-Computer Interface Technology, School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China.
Gang LiuHenan Key Laboratory of Brain Science and Brain-Computer Interface Technology, School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China.
Yuan ChenDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jin HeDepartment of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yajing PangHenan Key Laboratory of Brain Science and Brain-Computer Interface Technology, School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China. yajingpang@zzu.edu.cn.ORCID http://orcid.org/0000-0003-4070-6748
Hengfen LiDepartment of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China. fcclihf2@zzu.edu.cn.ORCID http://orcid.org/0000-0002-0360-231X

Funding

National Natural Science Foundation of China (National Science Foundation of China) 62103377Science and Technology Department of Henan Province (Henan Provincial Department of Science and Technology) 222102310205
6 · The paper itself

Abstract

A family history (FH) of depression significantly influences the progress of major depressive disorder (MDD). However, the underlying neural mechanism of FH remains unclear. This study examined the association between brain structural and connectivity alterations, inflammation, and FH in MDD. A total of 134 MDD patients with (FH group, n = 43) and without (NFH group, n = 91) first-degree FH and 96 demographic-matched healthy controls (HCs) were recruited. Voxel-based morphometry (VBM) and sliding-window dynamic functional connectivity (dFC) analyses were performed, and inflammatory biomarkers (C-reactive protein (CRP) and interleukin-6 (IL-6)) were detected. Compared with HCs, FH and NFH groups showed decreased gray matter volume (GMV) in the left cerebellum posterior lobe and increased dFC between this region and the left inferior parietal lobule. The FH group showed increased dFC between the cerebellum region and medial prefrontal cortex (mPFC) compared to NFH and HCs. The combination of these brain measurements further differentiated between FH and NFH. Moreover, the GMV of the cerebellum was positively correlated with CRP in the NFH group, while the dFC between the cerebellum and mPFC was positively correlated with IL-6 in the FH group. The present findings indicate that cerebellar structure and dynamic function vary according to FH of MDD and are related to inflammatory factors, potentially offering novel insights into the underlying pathogenic mechanisms of MDD.

Indexed as

CerebellumInflammationMajor Depressive DisorderAdultCase-Control StudiesC-Reactive ProteinFemaleGray MatterHumansInterleukin-6Magnetic Resonance ImagingMaleMiddle AgedPrefrontal CortexYoung AdultC-Reactive ProteinIL6 protein, humanInterleukin-6

Identifiers

PMID40467567
PMCPMC12137595

What OpenQuestion holds

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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.