Evidence map›Paper›PMID 41432780›Full record

ArticleJournal of neurology2025

Regional brain atrophy subtypes in spinocerebellar ataxia type 3: links to clinical performance and treatment response.

Xinyuan Liu, Jing Guo, Xingang Wang, Yonghua Huang, Xiumei Wu, Xi Chen, Jun Luo, Hui Chen, Jian Wang, Qing Gao and 3 more

Abstract read
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In one paragraph

Article in Journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Xinyuan Liu *The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, People's Republic of China.
Jing Guo *The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, People's Republic of China.
Xingang Wang *7T Magnetic Resonance Translational Medicine Research Center, Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, 400038, People's Republic of China.
Yonghua HuangDepartment of Radiology, The 940th Hospital of the Joint Logistics Support Force of the Chinese People's Liberation Army, Lanzhou, 730050, People's Republic of China.
Xiumei WuThe Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, People's Republic of China.
Xi Chen7T Magnetic Resonance Translational Medicine Research Center, Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, 400038, People's Republic of China.
Jun Luo7T Magnetic Resonance Translational Medicine Research Center, Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, 400038, People's Republic of China.
Hui Chen7T Magnetic Resonance Translational Medicine Research Center, Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, 400038, People's Republic of China.
Jian Wang7T Magnetic Resonance Translational Medicine Research Center, Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, 400038, People's Republic of China.
Qing GaoMOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, 610054, People's Republic of China. gaoqing@uestc.edu.cn.
Guolin MaDepartment of Radiology, China-Japan Friendship Hospital, Beijing, 100029, People's Republic of China. maguolin1007@qq.com.
Huafu ChenThe Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, People's Republic of China. chenhf@uestc.edu.cn.
Chen Liu7T Magnetic Resonance Translational Medicine Research Center, Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, 400038, People's Republic of China. liuchen@aifmri.com.ORCID http://orcid.org/0000-0001-5149-2496

Funding

Natural Science Foundation of China 62036003Natural Science Foundation of China 62173070Natural Science Foundation of China 62333003Natural Science Foundation of China 6250022134Natural Science Foundation of China 62573093Natural Science Foundation of China 82572201Sichuan Science and Technology Foundation 2023YFG0269Sichuan Science and Technology Foundation 2025ZNSFSC1758
6 · The paper itself

Abstract

Spinocerebellar ataxia type 3 (SCA3) is characterized by strong phenotypic heterogeneity, underscoring the need to explore subtypes using objective structural neuroimaging approaches. Identifying neuroimaging heterogeneity in SCA3 could help inform the prognosis and guide the development of personalized interventions. Here, we calculated gray matter volumes using voxel-based morphometry from 3D T1-weighted magnetic resonance images across two independent cohorts (discovery cohort: n = 222; replication cohort: n = 90). Non-negative matrix factorization was used to identify atrophy subtypes in SCA3. An independent cohort of 29 patients with SCA3, who underwent repetitive transcranial magnetic stimulation (rTMS), was used to explore the treatment effects across subtypes. Two atrophy subtypes were identified: subtype1 (ST1) was characterized by predominant involvement of the basal ganglia, with mild cerebellar and cortical deficits, and subtype2 (ST2) was characterized by severe cerebellar atrophy with neostriatal atrophy and thalamic subregion hypertrophy. These results were replicated in the subtype validation cohort. The ST1 atrophy pattern correlated with the International Cooperative Ataxia Rating Scale (ICARS) kinetic function subscale scores, whereas the ST2 atrophy pattern correlated with the ICARS posture and gait scores. Exploratory analysis of longitudinal data from the rTMS cohort revealed significant overall clinical improvement, but no statistically significant interaction between subtype and treatment response was detected, despite the observation of promising subtype-specific patterns of improvement. These findings suggest that patients with SCA3 have robust structural atrophy subtypes, which may provide a new framework for stratifying patients in future clinical and therapeutic research.

Indexed as

BrainGray MatterMachado-Joseph DiseaseAdultAgedAtrophyCohort StudiesFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedTranscranial Magnetic StimulationTreatment OutcomeAtrophy subtypeMagnetic resonance imagingNon-negative matrix factorizationSpinocerebellar ataxia type 3

Identifiers

What OpenQuestion holds

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Registered trials

None linked

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.