Evidence map›Paper›PMID 38802755›Full record

ArticleBMC neurology2024

Topological alterations in white matter anatomical networks in cervical dystonia.

Jiana Zhang, Yuhan Luo, Linchang Zhong, Huiming Liu, Zhengkun Yang, Ai Weng, Yue Zhang, Weixi Zhang, Zhicong Yan, Jinping Xu and 3 more

Abstract read
In one paragraph

Article in BMC neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Brain network pathophysiology in dystonia.Dystonia (Lausanne, Switzerland) · 2025
    Article
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.

Jiana Zhang *Department of Neurology, The First Affiliated Hospital, Guangdong Provincial Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Sun Yat-sen University, Guangzhou, 510080, China.
Yuhan Luo *Department of Neurology, The First Affiliated Hospital, Guangdong Provincial Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Sun Yat-sen University, Guangzhou, 510080, China.
Linchang Zhong *Department of Medical Imaging, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China.
Huiming LiuDepartment of Medical Imaging, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China.
Zhengkun YangDepartment of Neurology, The First Affiliated Hospital, Guangdong Provincial Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Sun Yat-sen University, Guangzhou, 510080, China.
Ai WengDepartment of Neurology, The First Affiliated Hospital, Guangdong Provincial Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Sun Yat-sen University, Guangzhou, 510080, China.
Yue ZhangDepartment of Neurology, The First Affiliated Hospital, Guangdong Provincial Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Sun Yat-sen University, Guangzhou, 510080, China.
Weixi ZhangDepartment of Neurology, The First Affiliated Hospital, Guangdong Provincial Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Sun Yat-sen University, Guangzhou, 510080, China.
Zhicong YanDepartment of Neurology, The First Affiliated Hospital, Guangdong Provincial Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Sun Yat-sen University, Guangzhou, 510080, China.
Jinping XuInstitute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
Gang LiuDepartment of Neurology, The First Affiliated Hospital, Guangdong Provincial Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Sun Yat-sen University, Guangzhou, 510080, China.
Kangqiang PengDepartment of Medical Imaging, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China. gz_sums@139.com.
Zilin OuDepartment of Neurology, The First Affiliated Hospital, Guangdong Provincial Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Sun Yat-sen University, Guangzhou, 510080, China. ouzilin@mail.sysu.edu.cn.

Funding

Guangdong Key Project 2018B030335001, 2023A1515012739Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases 2020B1212060017Guangzhou Key Project 202007030002National Natural Science Foundation of China 62006220, 81771137, 82271300, and 81971103National Natural Science Foundation of China 82101399Natural Science Foundation of Guangdong Province 2023A1515012739, 2016A030310132, and 2021A1515010600Science and Technology Program of Guangzhou 2023B03J0466Shenzhen Science and Technology Research Program JCYJ20200109114816594Southern China International Cooperation Base for Early Intervention and Functional Rehabilitation of Neurological Diseases 2015B050501003 and 2020A0505020004
6 · The paper itself

Abstract

backgroundAccumulating neuroimaging evidence indicates that patients with cervical dystonia (CD) have changes in the cortico-subcortical white matter (WM) bundle. However, whether these patients' WM structural networks undergo reorganization remains largely unclear. We aimed to investigate topological changes in large-scale WM structural networks in patients with CD compared to healthy controls (HCs), and explore the network changes associated with clinical manifestations.

methodsDiffusion tensor imaging (DTI) was conducted in 30 patients with CD and 30 HCs, and WM network construction was based on the BNA-246 atlas and deterministic tractography. Based on the graph theoretical analysis, global and local topological properties were calculated and compared between patients with CD and HCs. Then, the AAL-90 atlas was used for the reproducibility analyses. In addition, the relationship between abnormal topological properties and clinical characteristics was analyzed.

resultsCompared with HCs, patients with CD showed changes in network segregation and resilience, characterized by increased local efficiency and assortativity, respectively. In addition, a significant decrease of network strength was also found in patients with CD relative to HCs. Validation analyses using the AAL-90 atlas similarly showed increased assortativity and network strength in patients with CD. No significant correlations were found between altered network properties and clinical characteristics in patients with CD.

conclusionOur findings show that reorganization of the large-scale WM structural network exists in patients with CD. However, this reorganization is attributed to dystonia-specific abnormalities or hyperkinetic movements that need further identification.

Indexed as

Diffusion Tensor ImagingTorticollisWhite MatterAdultAgedFemaleHumansMaleMiddle AgedNerve NetCervical dystoniaClinical manifestationsCortico-subcortical white matterDiffusion tensor imagingGraph theoretical analysis

Identifiers

PMID38802755
PMCPMC11129473

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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.