Evidence map›Paper›PMID 41486739›Full record

ArticlePsychological medicine2026

Resting-state EEG markers associated with violence risk in patients with major depressive disorder.

Yingying Xie, Wenqian Lu, Jiaxun Chen, Shuna Tan, Tianyi Ma, Yan Gu, Yan Li, Gangqin Li

Abstract read
In one paragraph

Article in Psychological medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yingying XieDepartment of Forensic Psychiatry, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China.ORCID 0009-0009-6945-9841
Wenqian LuDepartment of Forensic Psychiatry, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China.
Jiaxun ChenWest China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China.
Shuna TanDepartment of Forensic Psychiatry, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China.
Tianyi MaDepartment of Forensic Psychiatry, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China.
Yan GuDepartment of Forensic Psychiatry, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China.
Yan LiDepartment of Forensic Psychiatry, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China.
Gangqin LiDepartment of Forensic Psychiatry, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China.ORCID 0000-0003-1675-1645

Funding

National Natural Science Foundation of China 81901928Sichuan Province Science and Technology Support Program 2023YFS0425
6 · The paper itself

Abstract

backgroundGrowing studies have reported an elevated risk of violence in patients with depression, yet the neurobiological underpinnings remain poorly understood. The present study explored the resting-state electroencephalogram (EEG) features in major depressive disorder (MDD) patients with violent offenses to identify potential neurological markers for violence prediction and intervention.

methodsTwenty-nine MDD patients who committed violent offenses (violent depression [VD] group), 27 MDD patients without violent behaviors (nonviolent depression [NVD] group), and 25 healthy controls (HCs) were included. Resting-state EEGs were recorded for at least 5 min. EEG microstates, functional connectivity (FC), and graph theory metrics were analyzed and compared between groups.

resultsFirst, the VD group had increased microstate A, more microstates A-B transition, but lower microstates B-D and C-D transition. Second, the VD group exhibited two enhanced functional brain networks compared to NVD and HCs, and three weakened functional brain networks compared to HCs, which were primarily distributed in the frontal and frontoparietal networks. Third, the VD group specifically exhibited reduced nodal efficiency (aNe) in the superior parietal lobe and increased aNe in the middle occipital gyrus.

conclusionsMDD patients with violent offenses exhibited alterations in EEG microstates, FCs in the frontal lobe and frontoparietal network, and disrupted aNe in specific parietal and occipital lobes. These alternations are closely associated with deficits in emotional regulation, executive function, and inhibitory control, which may subserve as potential neurobiomarkers for violence risk assessment in patients with depression.

Indexed as

BrainElectroencephalographyMajor Depressive DisorderNerve NetViolenceAdultCase-Control StudiesFemaleHumansMaleMiddle AgedYoung AdultEEGfunctional connectivitygraph theorymajor depressive disordermicrostatesviolence

Identifiers

PMID41486739
PMCPMC13058659

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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.