Evidence map›Paper›PMID 39882023›Full record

ArticleBrain communications2025

Multidimensional structural analyses revealed a correlation between thalamic atrophy and white matter degeneration in idiopathic dystonia.

Jinping Xu, Qinxiu Cheng, Yue Zhang, Yuhan Luo, Linchang Zhong, Huiming Liu, Haoran Zhang, Zhengkun Yang, Jiana Zhang, Zilin Ou and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Brain communications, 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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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

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

13 authors.

Jinping XuInstitute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Qinxiu ChengInstitute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Yue ZhangDepartment of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou 510080, China.
Yuhan LuoDepartment of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou 510080, China.
Linchang ZhongDepartment of Medical Imaging, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.
Huiming LiuDepartment of Medical Imaging, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.
Haoran ZhangInstitute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Zhengkun YangDepartment of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou 510080, China.
Jiana ZhangDepartment of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou 510080, China.
Zilin OuDepartment of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou 510080, China.
Zhicong YanDepartment of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou 510080, China.
Kangqiang PengDepartment of Medical Imaging, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.
Gang LiuDepartment of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou 510080, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although aberrant changes in grey and white matter are core features of idiopathic dystonia, few studies have explored the correlation between grey and white matter changes in this disease. This study aimed to investigate the coupling correlation between morphological and microstructural alterations in patients with idiopathic dystonia. Structural T1 imaging and diffusion tensor imaging were performed on a relatively large cohort of patients. Multidimensional structural analyses, including voxel-based analyses, voxel-based morphology, fixel-based analyses and surface-based morphometry, were performed to explore these structural alterations. Probabilistic tractography and correlation analyses were employed to examine these relationships. A total of 147 patients with idiopathic dystonia and 137 healthy controls were recruited in this study. There were no significant differences in the cortical morphometry between patients with idiopathic dystonia and healthy controls using voxel- and surface-based morphometry. However, the grey matter volume of the bilateral thalamus, fractional anisotropy in the right anterior corona radiata, right retrolenticular part of the internal capsule and right posterior corona radiata, and the fibre density and cross-section combined in the fibre tract connecting the left ventral posterolateral thalamic nucleus and left area 5 m, were significantly decreased in patients with idiopathic dystonia compared with those in healthy controls. Furthermore, the reduced grey matter volume in the right thalamus not only correlated with the disease duration but also with the reduced fractional anisotropy in the right posterior corona radiata and decreased the fibre density and cross-section combined in the fibre tract connecting the left ventral posterolateral thalamic nucleus and the left area 5 m in patients with idiopathic dystonia. These findings suggest that the thalamus is structurally impaired in idiopathic dystonia and that microstructural disruption in thalamocortical projections occurs secondary to thalamic atrophy.

Indexed as

fixel-based analysesidiopathic dystoniasurface-based morphometryvoxel-based analysesvoxel-based morphology

Identifiers

PMID39882023
PMCPMC11775609

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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.