Evidence map›Paper›PMID 34130192›Full record

ArticleNeuroImage. Clinical2021

Alteration of brain structural connectivity in progression of Parkinson's disease: A connectome-wide network analysis.

Yanwu Yang, Chenfei Ye, Junyan Sun, Li Liang, Haiyan Lv, Linlin Gao, Jiliang Fang, Ting Ma, Tao Wu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NeuroImage. Clinical, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
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  6. Altered network efficiency in isolated REM sleep behavior disorder: A multicentric study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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  16. MRI findings in movement disorders and associated sleep disturbances.American journal of nuclear medicine and molecular imaging · 2023
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Yanwu YangDepartment of Electronic and Information Engineering, Harbin Institute of Technology at Shenzhen, Shenzhen, China.
Chenfei YePeng Cheng Laboratory, Shenzhen, China.
Junyan SunDepartment of Neurobiology, Neurology and Geriatrics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Disease, Beijing, China.
Li LiangDepartment of Electronic and Information Engineering, Harbin Institute of Technology at Shenzhen, Shenzhen, China.
Haiyan LvMindsGo Shenzhen Life Science Co. Ltd, Shenzhen, China.
Linlin GaoDepartment of Neurobiology, Neurology and Geriatrics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Disease, Beijing, China.
Jiliang FangDepartment of Radiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Ting MaDepartment of Electronic and Information Engineering, Harbin Institute of Technology at Shenzhen, Shenzhen, China; Peng Cheng Laboratory, Shenzhen, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, China. Electronic address: tma@hit.edu.cn.
Tao WuDepartment of Neurobiology, Neurology and Geriatrics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Disease, Beijing, China. Electronic address: wutao69@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pinpointing the brain dysconnectivity in idiopathic rapid eye movement sleep behaviour disorder (iRBD) can facilitate preventing the conversion of Parkinson's disease (PD) from prodromal phase. Recent neuroimage investigations reported disruptive brain white matter connectivity in both iRBD and PD, respectively. However, the intrinsic process of the human brain structural network evolving from iRBD to PD still remains largely unknown. To address this issue, 151 participants including iRBD, PD and age-matched normal controls were recruited to receive diffusion MRI scans and neuropsychological examinations. The connectome-wide association analysis was performed to detect reorganization of brain structural network along with PD progression. Eight brain seed regions in both cortical and subcortical areas demonstrated significant structural pattern changes along with the progression of PD. Applying machine learning on the key connectivity related to these seed regions demonstrated better classification accuracy compared to conventional network-based statistic. Our study shows that connectome-wide association analysis reveals the underlying structural connectivity patterns related to the progression of PD, and provide a promising distinct capability to predict prodromal PD patients.

Indexed as

ConnectomeParkinson DiseaseREM Sleep Behavior DisorderBrainHumansMagnetic Resonance ImagingBrain structural networkDTIIdiopathic rapid eye movement sleep behaviour disorderMultivariate distance matrix regressionParkinson disease

Identifiers

PMID34130192
PMCPMC8209844

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.