Evidence map›Paper›PMID 36389065›Full record

ArticleFrontiers in aging neuroscience2022

Topological patterns of motor networks in Parkinson's disease with different sides of onset: A resting-state-informed structural connectome study.

Xiuli Zhang, Ruohan Li, Yingying Xia, Houliang Zhao, Lulu Cai, Jingyun Sha, Qihua Xiao, Jie Xiang, Chao Zhang, Kai Xu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2022. 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
0.6field-weighted citation impact, top 36% of its field
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

3 citing papers in PubMed, 7 citations in OpenAlex.

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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

10 authors at 1 institution in 1 country.

Xiuli ZhangDepartment of Radiology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Ruohan LiDepartment of Radiology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Yingying XiaDepartment of Radiology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Houliang ZhaoSchool of Medical Imaging, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Lulu CaiSchool of Medical Imaging, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Jingyun ShaDepartment of Radiology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Qihua XiaoDepartment of Neurology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Jie XiangDepartment of Rehabilitation, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Chao ZhangDepartment of Radiology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Kai XuDepartment of Radiology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Xuzhou Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson's disease (PD) has a characteristically unilateral pattern of symptoms at onset and in the early stages; this lateralization is considered a diagnostically important diagnosis feature. We aimed to compare the graph-theoretical properties of whole-brain networks generated by using resting-state functional MRI (rs-fMRI), diffusion tensor imaging (DTI), and the resting-state-informed structural connectome (rsSC) in patients with left-onset PD (LPD), right-onset PD (RPD), and healthy controls (HCs). We recruited 26 patients with PD (13 with LPD and 13 with RPD) as well as 13 age- and sex-matched HCs. Rs-fMRI and DTI were performed in all subjects. Graph-theoretical analysis was used to calculate the local and global efficiency of a whole-brain network generated by rs-fMRI, DTI, and rsSC. Two-sample

Indexed as

diffusion tensor imagingfMRIgraph theoryParkinson’s diseaseresting state

Identifiers

PMID36389065
PMCPMC9643776
OpenAlexW4307550432

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.