Evidence map›Paper›PMID 42443158›Full record

ArticleTranslational psychiatry2026

Widespread white matter microstructural abnormalities in treatment‑naïve patients with first‑episode schizophrenia revealed by fixel-based analysis.

Min Yang, Hanxiaoran Li, Mingli Li, Qiang Wang, Lihong Deng, Liansheng Zhao, Hua Yu, Xiaojing Li, Wei Deng, Wanjun Guo and 2 more

Abstract read
In one paragraph

Article in Translational 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.

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

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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

12 authors.

Min Yang *Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.ORCID http://orcid.org/0000-0002-1705-9733
Hanxiaoran Li *Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Mingli LiMental Health Center of West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Qiang WangMental Health Center of West China Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID http://orcid.org/0000-0002-3849-1349
Lihong DengAffiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Liansheng ZhaoMental Health Center of West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Hua YuAffiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Xiaojing LiAffiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Wei DengAffiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.ORCID http://orcid.org/0000-0001-5937-9877
Wanjun GuoAffiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Wei WeiAffiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China. weiweih7@zju.edu.cn.ORCID http://orcid.org/0000-0002-4109-3878
Tao LiAffiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China. litaozjusc@zju.edu.cn.ORCID http://orcid.org/0000-0003-3831-901X

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82230046
6 · The paper itself

Abstract

Fixel-based analysis (FBA) is an advanced diffusion imaging method that enables the direct estimation of white matter microstructural properties beyond the limitations of traditional diffusion tensor imaging (DTI). Despite its potential, FBA has been rarely applied in schizophrenia research, and its value in providing complementary information to conventional tensor-based approaches remains to be fully established. In this study, we investigated white matter abnormalities of treatment-naïve, first-episode schizophrenia (FES) patients using both FBA and tensor-based method, and examined the concordance between the two approaches to better characterize the nature of white matter pathology in early SZ. MRI data were acquired from 94 treatment-naïve FES patients and 114 healthy controls (HCs). Fractional anisotropy (FA) and mean diffusivity (MD) were calculated using a conventional tensor-based method. In parallel, fibre density (FD), fibre-bundle cross-section (FC), and their combined metric (FDC) were estimate with FBA. White matter was segmented into 72 anatomically defined tracts based on fibre tracking. Between-group comparisons were conducted using a multivariate general linear model (GLM) to assess differences across diffusion metrics. Using the tensor-based method, six white matter tracts exhibited significantly altered FA, while 34 tracts showed significantly increased MD in FES patients compared to HCs (all t-values > 2.34 or t-values < -2.36, all FDR-p < 0.05). In contrast, FBA revealed more widespread abnormalities: 46 tracts showed significantly reduced FD, 29 tracts showed significantly reduced FC, and 52 tracts showed significantly reduced FDC (all t-values < -2.29, all FDR-p < 0.05). Notably, all tracts with significantly reduced FC metrics also demonstrated corresponding FDC reductions. No significant correlation was observed between any diffusion metrics and clinical characteristics (all FDR-p ˃ 0.05). This study highlights the remarkable advantages of the FBA in detecting WM microstructural abnormalities in individuals with FES.

Indexed as

BrainDiffusion Tensor ImagingSchizophreniaWhite MatterAdolescentAdultAnisotropyCase-Control StudiesDiffusion Magnetic Resonance ImagingFemaleHumansImage Processing, Computer-AssistedMaleYoung Adult

Identifiers

PMID42443158
PMCPMC13601613

What Socratic holds

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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 Socratic graph.