Evidence map›Paper›PMID 41992189›Full record

ArticleBMC psychiatry2026

Altered functional brain network in adolescents with non-suicidal self-injury: a resting-state EEG study.

Liqin Zheng, Na Du, Shusheng Bao, Yufeng Deng, Zedong Wang, Linqi Chen, Zhanjiang Sun, Chunya Li, Ya'nan Li, Yu Xiao and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Liqin ZhengSchool of Life Science and Technology, Sichuan Institute for Brain Science and Brain- Inspired Intelligence, University of Electronic Science and Technology of China, Chengdu, China.
Na DuDepartment of psychosomatic center, The Fourth People's Hospital of Chengdu, Chengdu, China.
Shusheng BaoSchool of Life Science and Technology, Sichuan Institute for Brain Science and Brain- Inspired Intelligence, University of Electronic Science and Technology of China, Chengdu, China.
Yufeng DengMental Health Education Center, School of Big Health Management, Xihua University, Chengdu, China.
Zedong WangSchool of Life Science and Technology, Sichuan Institute for Brain Science and Brain- Inspired Intelligence, University of Electronic Science and Technology of China, Chengdu, China.
Linqi ChenSchool of Life Science and Technology, Sichuan Institute for Brain Science and Brain- Inspired Intelligence, University of Electronic Science and Technology of China, Chengdu, China.
Zhanjiang SunSchool of Life Science and Technology, Sichuan Institute for Brain Science and Brain- Inspired Intelligence, University of Electronic Science and Technology of China, Chengdu, China.
Chunya LiDepartment of psychosomatic center, The Fourth People's Hospital of Chengdu, Chengdu, China.
Ya'nan LiDepartment of psychosomatic center, The Fourth People's Hospital of Chengdu, Chengdu, China.
Yu XiaoDepartment of psychosomatic center, The Fourth People's Hospital of Chengdu, Chengdu, China.
Jia ChenDepartment of psychosomatic center, The Fourth People's Hospital of Chengdu, Chengdu, China.
Yunge LiDepartment of psychosomatic center, The Fourth People's Hospital of Chengdu, Chengdu, China.
Kai ChenMental Health Education Center, School of Big Health Management, Xihua University, Chengdu, China.
Tao ZhangMental Health Education Center, School of Big Health Management, Xihua University, Chengdu, China. tao.zhang@uestc.edu.cn.
Hesong WangDepartment of Rehabilitation Medicine, Baiyun District People's Hospital of Guangzhou, Guangzhou, Guangdong, China. sunasa1030@qrhospital-by.cn.
Tao ZhangSchool of Life Science and Technology, Sichuan Institute for Brain Science and Brain- Inspired Intelligence, University of Electronic Science and Technology of China, Chengdu, China. zhangtao1698@xhu.edu.cn.

Funding

2024 Chengdu Philosophy and Social Sciences Research Center Consulting Service Capacity Building Special Key Project YJZX-2024-ZZZD-412025 Annual Research Project of Sichuan Mental Health Education Key Research Base at Southwest Jiaotong University Project XLJKJY2508ANational Natural Science Foundation of China 82401806Sichuan Provincial Science and Technology Support Program 2024NSFSC0611STI 2030-Major Projects under Grant 2022ZD0208506
6 · The paper itself

Abstract

Non-suicidal self-injury (NSSI) has a huge impact on the physical and mental health of adolescents, and the changes in the brain network functional connectivity pattern of NSSI are still unclear. Electroencephalogram (EEG) has been widely used in the study of brain function in mental disorders due to its high temporal resolution. Thus, it is of great significance to investigate the brain network functional connectivity (FC) and network characteristics changes in NSSI adolescents. Fifty NSSI adolescents with depressive episodes and 25 healthy controls (HCs) were assessed using eye-open resting state EEG signals and clinical scales. Phase locking value (PLV), weighted Phase Lag Index (wPLI), and graph theory analysis and machine learning analysis were combined to explore the brain functional connectivity and topological properties of adolescents with NSSI. Compared with HCs, adolescents with NSSI revealed significantly decreased connectivity in the alpha band based on the wPLI/PLV-derived network, and significantly increased connectivity and network efficiency in the theta bands in PLV-derived brain network. Reduced characteristic path length and enhanced clustering coefficient/global efficiency/local efficiency were found in the delta/theta band for PLV-derived network, which related to the clinical scale score (i.e. Toronto Alexithymia Scale). The best classification performance was achieved using comprehensive features (combined PLV- and wPLI-derived) and logistic regression classifier. Overall, these findings present novel evidence to understand NSSI neuropathological mechanisms and provide potential targets for NSSI treatment.

Indexed as

BrainNerve NetSelf-Injurious BehaviorAdolescentCase-Control StudiesElectroencephalographyFemaleHumansMaleBrain functional networkElectroencephalographyGraph theoryNon-suicidal self-injuryPhase locking value

Identifiers

PMID41992189
PMCPMC13244892

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.