Evidence map›Paper›PMID 41717559›Full record

ArticleFrontiers in psychiatry2026

Childhood chronic stress associated with abnormal brain white matter networks in first-episode, drug-naïve MDD adolescents: a machine learning study.

Zhujun Wang, Zhaoxian Ming, Meijiang Jin, Maojia Ran, Hang Zhang, Yuanmei Tao, Hanmei Xu, Shoukang Zou, Ye Wu, Li Yin

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Article in Frontiers in 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.

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5 · Who and what money

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10 authors.

Zhujun Wang *Department of Psychiatry, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Zhaoxian Ming *School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, Nanjing, Jiangsu, China.
Meijiang JinDepartment of Psychiatry, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Maojia RanDepartment of Psychiatry, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Hang ZhangDepartment of Psychiatry, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Yuanmei TaoDepartment of Psychiatry, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Hanmei XuDepartment of Psychiatry, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Shoukang ZouDepartment of Psychiatry, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Ye WuSchool of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, Nanjing, Jiangsu, China.
Li YinDepartment of Psychiatry, West China Hospital of Sichuan University, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aims to identify the topological abnormalities of the brain white matter structural network in adolescents with first episode, drug-naïve major depressive disorder (MDD), and to explore the relationship between these abnormalities and chronic childhood stress. Methods: T1-weighted images and diffusion tensor imaging (DTI) data were collected from 77 first-episode, drug-naïve MDD adolescents and 31 healthy controls (HCs). A whole-brain white matter structural network was constructed for each participant. Graph-theoretical analyses were employed to investigate the topological properties of white matter structural networks. Subsequently, we applied four machine learning methods-univariate linear regression, stepwise regression, LASSO regression, and random forest-to screen for relevant variables. The selected variables were then integrated into a final multivariate linear regression model to examine their correlations with Childhood Chronic Stress Questionnaire (CCSQ) scores. Results: Compared with HCs, adolescents with MDD showed significantly larger network radius (t = -2.647, p = 0.009) and network diameter (t = -2.619, p = 0.010), as well as significantly lower small-worldness (t = 2.066, p = 0.041) and global efficiency (t = 2.083, p = 0.040) in brain white matter structural network. Local topological abnormalities were observed in multiple brain regions of adolescents with MDD, primarily involving paracentral lobular and mid cingulate cortex, MT+ complex, early auditory cortex, dorsolateral prefrontal cortex, orbital and polar frontal cortex, as well as anterior cingulate and medial prefrontal cortex. The final regression model showed that the weighted betweenness centrality in left area 1, left area 6mp, left frontal opercular area 4, left posterior OFC complex and left lateral belt complex, as well as the weighted local efficiency of the right ventral intraparietal complex and right orbital frontal complex (adjusted R Conclusion: We found that chronic childhood stress is associated with local topological abnormalities in multiple regions of the white matter structural networks of adolescents with MDD. These altered white matter network topological properties may be utilized in the future to aid in identifying depressive subtypes with high childhood stress exposure.

Indexed as

adolescentadverse childhood experiencemagnetic resonance imagingmajor depressive disorderwhite matter

Identifiers

PMID41717559
PMCPMC12913395

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