Evidence map›Paper›PMID 42908300›Full record

ArticleHuman brain mapping2026

Major Depressive Disorder With Non-Suicidal Self-Injury in Adolescents: Altered Morphological Inverse Divergence Gradient in Brain Structure and Gene Expression Patterns.

Yan Zhang, Xinyuan Hu, Wei Wang, Jing Wang, Hongying Li, Yumei Wan, Jianlei Zhu, Fei Liu, Shiyue Tao, Duanwei Wang and 4 more

Abstract read
In one paragraph

Article in Human brain mapping, 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
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1 · What the graph read from it

What it found

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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

14 authors.

Yan ZhangShandong Mental Health Center, Shandong University, Jinan, Shandong, China.ORCID https://orcid.org/0000-0002-7315-1446
Xinyuan HuShandong Provincial Key Medical and Health Laboratory of Digital Psychiatry, Shandong Mental Health Center, Shandong University, Jinan, Shandong, China.ORCID https://orcid.org/0000-0002-9652-222X
Wei WangThe Second Veterans Hospital of Sichuan, Chengdu, Sichuan, China.
Jing WangSchool of Information Science and Engineering, University of Jinan, Jinan, China.ORCID https://orcid.org/0000-0001-8929-142X
Hongying LiThe Second Veterans Hospital of Sichuan, Chengdu, Sichuan, China.
Yumei WanShandong Mental Health Center, Shandong University, Jinan, Shandong, China.ORCID https://orcid.org/0009-0009-3265-5195
Jianlei ZhuShandong Mental Health Center, Shandong University, Jinan, Shandong, China.
Fei LiuShandong Mental Health Center, Shandong University, Jinan, Shandong, China.
Shiyue TaoShandong Mental Health Center, Shandong University, Jinan, Shandong, China.
Duanwei WangShandong Mental Health Center, Shandong University, Jinan, Shandong, China.
Xiangtao LinCheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Yingying ZhangMedical Management Service Center of Health Commission of Shandong Province, Jinan, Shandong, China.
Hongmei ZhangThe Second Veterans Hospital of Sichuan, Chengdu, Sichuan, China.ORCID https://orcid.org/0009-0009-9214-5621
Yuandong GongShandong Provincial Key Medical and Health Laboratory of Digital Psychiatry, Shandong Mental Health Center, Shandong University, Jinan, Shandong, China.ORCID https://orcid.org/0000-0001-9930-5602

Funding

National Natural Science Foundation of China 62406128Shandong Provincial Medical and Health Science and Technology Project 202403091056Sichuan VS Mental Health Survey and Early Intervention 05
6 · The paper itself

Abstract

Adolescents with major depressive disorder (MDD) and non-suicidal self-injury (NSSI) face serious challenges to their mental and physical health. The development of this condition is influenced by genetic, environmental, and brain development factors. In this study, we used the Morphometric Inverse Divergence Gradient Network (MIND-Gd) for the first time to explore brain structural network abnormalities and their transcriptional mechanisms in adolescents with MDD and NSSI. A total of 241 adolescents with MDD participated in this study. Among them, 134 had NSSI, while 107 did not. Using high-resolution T1-weighted magnetic resonance imaging (MRI), we constructed the principal MIND gradient network. This network reflects the similarity of cortical morphology between different brain regions. The results showed that adolescents with NSSI had higher MIND gradient values in the left caudal middle frontal gyrus and bilateral inferior temporal gyri. In contrast, lower values were observed in the left lingual gyrus and right superior parietal lobule. These structural changes were spatially correlated with functional alterations in the dorsal attention network. Further analysis revealed that these differences were linked to the distribution of nine types of neurotransmitter receptors, including 5-HT1A, GABAa, glutamate, and dopamine. Partial least squares regression analysis (PLS) was also conducted. The first component (PLS1) explained 39.53% of the spatial variance in MIND-Gd. This analysis identified key genes related to NSSI, such as GABRA5 and MGST1. Enrichment analysis showed that PLS1+ genes were involved in synaptic signaling, neurodevelopment, and mood disorder pathways. These genes were enriched in astrocytes and cortical layers I, II, and V. On the other hand, PLS1- genes were linked to chromatin regulation and cytoskeletal metabolism. These genes were mainly expressed in Cortical Layers III and IV. In conclusion, adolescents with MDD and NSSI show specific abnormalities in brain structural gradients. These abnormalities are closely related to neurotransmitter receptor distributions and gene expression patterns. The findings provide multi-level evidence for understanding the neurobiological mechanisms of NSSI.

Indexed as

BrainCerebral CortexGene ExpressionMajor Depressive DisorderNerve NetSelf-Injurious BehaviorAdolescentFemaleHumansMagnetic Resonance ImagingMaleadolescentgene expressionmajor depressive disordermorphometric inverse divergence gradient networkneurotransmitter receptorsnon‐suicidal self‐injury

Identifiers

PMID42908300
PMCPMC13687784

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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.