Evidence map›Paper›PMID 40050653›Full record

ArticleSchizophrenia (Heidelberg, Germany)2025

Along-tract white matter abnormalities and their clinical associations in recent-onset and chronic schizophrenia.

Sung Woo Joo, Hyeongyu Park, Jihyu Park, Jungsun Lee

Abstract read
In one paragraph

Article in Schizophrenia (Heidelberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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

4 authors.

Sung Woo JooDepartment of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0001-6555-9110
Hyeongyu ParkDepartment of Medical Science, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Jihyu ParkKyung Hee University College of Medicine, Seoul, Republic of Korea.
Jungsun LeeDepartment of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea. ljssmh@gmail.com.

Funding

Korea Health Industry Development Institute (KHIDI) HI22C0108National Research Foundation of Korea (NRF) NRF-2021R1F1A11057227
6 · The paper itself

Abstract

Structural impairments in white matter tracts are well-documented in schizophrenia, though their clinical implications remain limited. Most previous studies using diffusion-weighted magnetic resonance imaging (dMRI) and tractography relied on averaged diffusion indices, potentially obscuring localized changes in white matter tracts. Tractometry enables the investigation of localized changes at specific points along white matter tracts. We used dMRI and centerline tractometry to examine along-tract white matter abnormalities in 55 patients with recent-onset schizophrenia, 69 with chronic schizophrenia, and 77 healthy controls. Fractional anisotropy (FA) and peak length were measured at individual points along tract trajectories. Group differences in diffusion indices and their associations with clinical variables, including the Positive and Negative Syndrome Scale (PANSS), were analyzed using linear mixed models and Spearman's rho. In recent-onset schizophrenia, reduced FA was observed in the genu and splenium of the corpus callosum, along with deviations in peak length across multiple white matter tracts. The peak length of association tracts showed a negative correlation with antipsychotic dose. In chronic schizophrenia, widespread reductions in FA and deviations in peak length were identified across various white matter tracts. Decreased FA in commissural tracts was negatively associated with the PANSS negative score, antipsychotic dose, and illness duration. This study identified along-tract white matter abnormalities in recent-onset and chronic schizophrenia and revealed their associations with clinical symptoms. Localized measurements along tract trajectories enhance the detection of clinically relevant abnormalities compared to traditional methods relying on averaged diffusion indices.

Identifiers

PMID40050653
PMCPMC11885433

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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.