Evidence map›Paper›PMID 41257642›Full record

ArticleBMC psychiatry2025

Regional and interregional brain functional abnormalities in major depressive disorder with childhood maltreatment.

Qianyi Luo, Qing Xu, Jiyun Liao, Liwen Zhu, Xiaoyu Liang, Xiaohui Lin, Jinrou Xia, Hongjun Peng

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

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5 · Who and what money

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8 authors.

Qianyi LuoDepartment of Clinical Psychology, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, 510370, China.
Qing XuDepartment of Clinical Psychology, The Third Hospital of Longyan, Longyan, 364000, China.
Jiyun LiaoDepartment of Clinical Psychology, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, 510370, China.
Liwen ZhuDepartment of Clinical Psychology, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, 510370, China.
Xiaoyu LiangDepartment of Clinical Psychology, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, 510370, China.
Xiaohui LinDepartment of Clinical Psychology, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, 510370, China.
Jinrou XiaDepartment of Clinical Psychology, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, 510370, China.
Hongjun PengDepartment of Clinical Psychology, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, 510370, China. pengdoctor2@163.com.

Funding

Guangdong Natural Science Foundation 2015A030313800Guangzhou Health Science and Technology General Guidance Project 20241A011053Guangzhou Medical University Research Capacity Enhancement Program 2024SRP203
6 · The paper itself

Abstract

backgroundChildhood maltreatment (CM) significantly enhances the vulnerability to major depressive disorder (MDD), but the relationship with brain dysfunction remains uncertain.

methodsWe recruited 84 MDD patients (52 with CM, 32 without CM) and 54 healthy controls. Regional brain activity was assessed using amplitude of low-frequency fluctuation (ALFF), fractional ALFF (fALFF), degree centrality, and regional homogeneity. The identified abnormal regions were used as seeds for functional connectivity (FC) analysis. We employed partial correlation and moderated mediation to explore the relationships between CM, brain dysfunction, MDD severity, and dysfunctional attitudes.

resultsMDD patients with CM had reduced ALFF in the right posterior orbitofrontal cortex (pOFC) and right middle frontal gyrus (MFG) compared to those without CM. In MDD with CM, FC between the right pOFC and core regions within the default mode network (DMN), including the superior medial frontal gyrus (SMFG), angular gyrus, and superior frontal gyrus, was reduced. Meanwhile, the FC between the right MFG and the right superior temporal gyrus, both regions related to Theory of Mind, increased. Additionally, both intra- and inter-regional brain activities were significantly associated with CM and dysfunctional attitudes. In the moderated mediation model, ALFF in the right MFG mediated the relationship between emotional neglect and MDD severity, while dysfunctional attitudes moderated this mediation effect.

conclusionsOur findings provide evidence for the relationship between MDD and CM, offering insights into the local and interregional brain dysfunction associated with both MDD and CM. CLINICAL TRIAL NUMBER: ChiCTR2300078193, registered in the Chinese Clinical Trial Registry on November 30, 2023.

Indexed as

Adult Survivors of Child AbuseBrainMajor Depressive DisorderPrefrontal CortexAdultCase-Control StudiesConnectomeDefault Mode NetworkFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedYoung AdultChildhood maltreatmentFractional amplitude of low-frequency fluctuationFunctional connectivityLow social supportMajor depressive disorder

Identifiers

PMID41257642
PMCPMC12729193

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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.