Evidence map›Paper›PMID 40895072›Full record

ArticlePeerJ2025

Exploration of gray matter alterations and cognitive function impairment in adolescents with first-episode non-suicidal self-injury and the associations with self-injury characteristics.

Rui Yu, Kaike Liao, Yuwei Chen, Xinyue Chen, Shiji Peng, Xianfu Li, Nian Liu

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Article in PeerJ, 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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7 authors.

Rui Yu *Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong City, Sichuan Province, China.
Kaike Liao *Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong City, Sichuan Province, China.
Yuwei ChenDepartment of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong City, Sichuan Province, China.
Xinyue ChenDepartment of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong City, Sichuan Province, China.
Shiji PengDepartment of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong City, Sichuan Province, China.
Xianfu LiDepartment of Radiation Oncology, Affiliated Hospital of North Sichuan Medical College, Nanchong City, Sichuan Province, China.
Nian LiuDepartment of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong City, Sichuan Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: It remains unclear if there are potentially associated abnormalities in gray matter (GM) and cognitive function in adolescents with non-suicidal self-injury (NSSI), and if there are associations with self-injury characteristics. Therefore, exploring the alterations in GM and cognitive functions and their associations with self-injury characteristics in adolescents with first-episode NSSI can provide imaging and clinical evidence for understanding the pathogenesis of NSSI. Methods: In this cross-sectional study, we prospectively collected 29 adolescents (NSSI group) with first-episode NSSI and 28 healthy controls (HC group). Participants were scanned using a 3.0T MRI scanner. GM measures were extracted and compared between the NSSI group and the HC group using covariance analysis with total intracranial volume, age, sex, and years of education as covariates. Evaluate the cognitive functions of two groups and perform covariance analysis with years of education, age, and sex as covariates. The assessment of self-injury function was conducted using the Beck Scale for Suicide Ideation and the Ottawa Self-Injury Inventory. With years of education as the control variable, partial correlation analysis is carried out between GM volume (GMV) and cognitive functions. A mediation effect analysis was conducted on GMV, cognitive function, and NSSI to explore the relationships among them. Results: The cognitive functions of the NSSI group are poorer than those of the HC group. Compared with the HC group, the NSSI group had decreased GMV in the left putamen and left nucleus accumbens and an increased GMV in the left rostral anterior cingulate cortex. In the NSSI group, the self-injury characteristics and poorer cognitive function are associated with abnormal alternations in GMV, and the poorer cognitive functions are also associated with the self-injury characteristics. The mediation analysis showed that the volume of the left rostral anterior cingulate cortex played a partial mediating role in the relationship between NSSI behavior and cognitive decline.

Indexed as

Cognitive DysfunctionGray MatterSelf-Injurious BehaviorAdolescentCase-Control StudiesCognitionCross-Sectional StudiesFemaleHumansMagnetic Resonance ImagingMaleProspective StudiesCognitive functionsGray matter volumeMagnetic resonance imagingNon-suicidal self-injurySelf-injury characteristics

Identifiers

PMID40895072
PMCPMC12396207

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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.