Evidence map›Paper›PMID 40079635›Full record

ArticleBrain and behavior2025

Microstructure Abnormalities of Diffusion Tensor Imaging Measures in First-Episode, Treatment-Naïve Adolescents With Major Depressive Disorder: An Integrated AFQ and TBSS Study.

Wenjie Zhang, Chan Zhang, Jinyuan Zhao, Jiajing Cui, Jinji Bai, Xuan Deng, Junjun Ji, Ting Li, Yu Wang, Kefeng Li and 2 more

Abstract read
In one paragraph

Article in Brain and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Digital signatures of fatigue and wearing-off symptoms in patients with multiple sclerosis under natalizumab.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
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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.

Wenjie ZhangDepartment of Radiology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi, China.ORCID https://orcid.org/0009-0007-2533-6933
Chan ZhangDepartment of Radiology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi, China.
Jinyuan ZhaoDepartment of Radiology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi, China.
Jiajing CuiDepartment of Radiology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi, China.
Jinji BaiDepartment of Radiology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi, China.
Xuan DengDepartment of Radiology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi, China.
Junjun JiDepartment of Radiology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi, China.
Ting LiDepartment of Radiology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi, China.
Yu WangDepartment of Psychiatry, Changzhi Mental Health Center, Changzhi, Shanxi, China.
Kefeng LiFaculty of Applied Sciences, Macao Polytechnic University, Macao SAR, China.
Yunhui QuDepartment of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, China.
Junfeng LiDepartment of Radiology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi, China.

Funding

the Four "Batches" Innovation Project of Invigorating Medical through Science and Technology of Shanxi Provincethe Macao Polytechnic University fund
6 · The paper itself

Abstract

purposeStructural changes during depressive episodes in adolescents with major depressive disorder (MDD) remains unclear due to participant heterogeneity, illness chronicity, and medication confounders. This study aimed to explore white matter (WM) microstructural changes in first-episode, treatment-naïve adolescents with MDD using an integrated diffusion tensor imaging (DTI) approach.

methodWe recruited 66 subjects, including 37 adolescents with MDD and 29 healthy controls. Two main DTI techniques, automated fiber quantification (AFQ) and tract-based spatial statistics (TBSS), were used to analyze fractional anisotropy (FA), axial diffusivity (AD), radial diffusivity (RD), and mean diffusivity (MD) in WM tracts. DTI measures were then correlated with the depressive symptoms evaluated by Hamilton Depression Rating Scale scores (HAMD-17).

findingsIn AFQ, MDD patients showed significant segmental differences in WM tracts compared to controls, including a negative correlation between SLF AD values and depression severity. TBSS revealed reduced FA in the cingulum, forceps minor, inferior fronto-occipital fasciculus, inferior longitudinal fasciculus, SLF, and uncinate fasciculus in MDD.

conclusionOur integrated DTI analysis in a unique first-episode, medication-naïve cohort revealed microstructural changes in adolescent MDD not previously reported. These findings may provide imaging markers for early detection and enhance our understanding of depression pathology in youth.

Indexed as

BrainDiffusion Tensor ImagingMajor Depressive DisorderWhite MatterAdolescentAnisotropyFemaleHumansMaleadolescentsautomated fiber quantificationdiffusion tensor imagingmajor depressive disordertract‐based spatial statistics

Identifiers

PMID40079635
PMCPMC11905106

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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.