Evidence map›Paper›PMID 40328096›Full record

ArticleNeuroImage. Clinical2025

Abnormal structural covariance network in major depressive disorder: Evidence from the REST-meta-MDD project.

Changmin Chen, Yuhan Liu, Yu Sun, Wenhao Jiang, Yonggui Yuan, Zhao Qing, DIRECT Consortium

Abstract read
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Article in NeuroImage. Clinical, 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

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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.

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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

7 authors.

Changmin ChenSchool of Biological Science and Medical Engineering, Southeast University, Nanjing 211189, China.
Yuhan LiuSchool of Biological Science and Medical Engineering, Southeast University, Nanjing 211189, China.
Yu SunSchool of Biological Science and Medical Engineering, Southeast University, Nanjing 211189, China; Joint Research Center for Biomedical Engineering, Southeast University-University of Birmingham, Nanjing 210096, China.
Wenhao JiangDepartment of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Jiangsu Provincial Key Laboratory of Brain Science and Medicine, Southeast University, Nanjing 210009, China.
Yonggui YuanDepartment of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Jiangsu Provincial Key Laboratory of Brain Science and Medicine, Southeast University, Nanjing 210009, China.
Zhao QingSchool of Biological Science and Medical Engineering, Southeast University, Nanjing 211189, China; Shing-Tung Yau Center, Southeast University, Nanjing 210096, China; Joint Research Center for Biomedical Engineering, Southeast University-University of Birmingham, Nanjing 210096, China. Electronic address: qingzhao@seu.edu.cn.
DIRECT Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMajor depressive disorder (MDD) is a common mental illness associated with brain morphological abnormalities. Although extensive studies have examined gray matter volume (GMV) changes in MDD, inconsistencies persist in reported findings. In the current study, we employed source-based morphometry (SBM) and structural covariance network (SCN) analyses to a large multi-center sample from the REST-meta-MDD database, aiming to characterize robust results of structural abnormalities in MDD.

methodsWe analyzed 798 MDD patients and 974 healthy controls (HCs) from the REST-meta-MDD consortium. Voxel-based morphometry was applied to generate GMV maps. SBM was used to adaptively parcellate brain into different components, and SCN was constructed based on SBM components. Volume scores in each component and SCNs between the components were both compared between MDD and HC groups, as well as between first-episode drug-naive (FEDN) and recurrent MDD subgroups.

resultsSBM identified 20 stable components. Three components encompassing the middle temporal gyrus, middle orbitofrontal gyrus and superior frontal gyrus exhibited volumetric differences between the MDD and HC groups. Volume differences were observed in the cingulate cortex and medial frontal gyrus between the FEDN and recurrent groups. SCN analysis revealed 9 aberrant pairs in MDD vs. HCs, and 7 pairs in FEDN vs. recurrent groups. All aberrant component pairs in the SCN implicated the prefrontal cortex.

conclusionsThese findings demonstrated brain structural deficits in MDD, and highlighted the prefrontal cortex as a central hub of SCN alterations. Our findings advance the understanding of MDD's neural mechanisms and suggest directions for diagnostic research.

Indexed as

BrainGray MatterMajor Depressive DisorderNerve NetAdultFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedYoung AdultGray matter volumeIndependent component analysisMajor depressive disorderStructural covariance network

Identifiers

PMID40328096
PMCPMC12127866

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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.