Evidence map›Paper›PMID 42482506›Full record

ArticleCNS neuroscience & therapeutics2026

Abnormal Dynamic Functional Connectivity Within the Fronto-Limbic Network Mediates the Association Between Depressive Symptoms and Non-Suicidal Self-Injury in Adolescents.

Yongjie Zhou, Shengmiao Ni, Junrong Han, Binke Yuan, Xinni Luo, Haiyan Li, Nan Yan, Lan Wang, Wei Zhang, Lingyun Zeng and 2 more

Abstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 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

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

1 citing paper in PubMed.

  1. Review
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

12 authors.

Yongjie ZhouShenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen, China.
Shengmiao NiKey Laboratory of Brain, Cognition and Education Science, Ministry of Education; Institute for Brain Research and Rehabilitation, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China.
Junrong HanKey Laboratory of Brain, Cognition and Education Science, Ministry of Education; Institute for Brain Research and Rehabilitation, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China.
Binke YuanKey Laboratory of Brain, Cognition and Education Science, Ministry of Education; Institute for Brain Research and Rehabilitation, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China.ORCID https://orcid.org/0000-0002-9839-8453
Xinni LuoDepartment of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.ORCID https://orcid.org/0000-0001-9308-5530
Haiyan LiDepartment of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.ORCID https://orcid.org/0000-0001-5424-9125
Nan YanCAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.ORCID https://orcid.org/0000-0002-1613-9301
Lan WangCAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Wei ZhangShenzhen Kangning Hospital, Shenzhen, China.
Lingyun ZengShenzhen Kangning Hospital, Shenzhen, China.
Xuchu WengKey Laboratory of Brain, Cognition and Education Science, Ministry of Education; Institute for Brain Research and Rehabilitation, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China.
Lijuan HuoKey Laboratory of Brain, Cognition and Education Science, Ministry of Education; Institute for Brain Research and Rehabilitation, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China.

Funding

Grant from Research Center for Brain Cognition and Human Development, Guangdong, China 2024B0303390003National Natural Science Foundation of China 32400861National Natural Science Foundation of China 62271477National Natural Science Foundation of China 82102673National Natural Science Foundation of China U23B2018Natural Science Foundation of Guangdong Province 2023A1515011802Natural Science Foundation of Guangdong Province 2024A1515010527Natural Science Foundation of Guangdong Province 2025A1515012418Philosophy and Social Science Project of Guangdong Province GD22YXL03Striving for the First-Class, Improving Weak Links and Highlighting Features (SIH) Key Discipline for Psychology in South China Normal University
6 · The paper itself

Abstract

aimNon-suicidal self-injury (NSSI) is a prevalent behavior among adolescents with major depressive disorder (MDD), yet the precise neural mechanisms remain unclear. This study aimed to investigate the temporal dynamics of brain connectivity associated with NSSI in adolescents with MDD using dynamic functional connectivity (dFC) analysis.

methodsResting-state fMRI data from 204 adolescents (154 with NSSI, 50 without) were analyzed. dFC variability within the fronto-limbic network was assessed using a seed-based dynamic conditional correlation approach. Group differences in dFC variability were examined, and a machine-learning model was used to predict NSSI based on dFC features. Mediation analysis explored the dFC's role in the relationship between depressive symptoms and NSSI.

resultsAdolescents with NSSI exhibited reduced dFC variability, which mediated the relationship between depressive severity and NSSI behavior (a*b = 0.144; p = 0.001). Key connections-insula, anterior cingulate cortex, orbitofrontal cortex, and hippocampus-were critical in distinguishing NSSI from non-NSSI groups. Machine learning models based on these connections achieved robust and stable performance with mean AUC of 0.84 and PR-AUC of 0.94 in predicting NSSI.

conclusionsAltered dFC within the fronto-limbic network may underlie NSSI in adolescents with MDD, identifying preliminary neural features for targeted interventions and highlighting neurobiological heterogeneity associated with NSSI in adolescents with MDD.

Indexed as

DepressionFrontal LobeLimbic SystemMajor Depressive DisorderNerve NetSelf-Injurious BehaviorAdolescentFemaleHumansMachine LearningMagnetic Resonance ImagingMaleNeural Pathwaysadolescentsdepressiondynamic functional connectivitymachine learningnon‐suicidal self‐injurythe fronto‐limbic network

Identifiers

PMID42482506
PMCPMC13389438

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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.