Evidence map›Paper›PMID 35875794›Full record

ArticleFrontiers in aging neuroscience2022

Structural Brain Network Abnormalities in Parkinson's Disease With Freezing of Gait.

Chaoyang Jin, Lei Yang, Shouliang Qi, Yueyang Teng, Chen Li, Yudong Yao, Xiuhang Ruan, Xinhua Wei

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

5 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

8 authors at 3 institutions in 2 countries.

Chaoyang JinCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China.
Lei YangCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China.
Shouliang QiCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China.
Yueyang TengCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China.
Chen LiCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China.
Yudong YaoDepartment of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, United States.
Xiuhang RuanDepartment of Radiology, School of Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China.
Xinhua WeiDepartment of Radiology, School of Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China.
Northeastern University · CNGuangzhou First People's Hospital · CNStevens Institute of Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Diffusion tensor imaging (DTI) studies have investigated white matter (WM) integrity abnormalities in Parkinson's disease (PD). However, little is known about the topological changes in the brain network. This study aims to reveal these changes by comparing PD without freezing of gait (FOG) (PD FOG-), PD with FOG (PD FOG+), and healthy control (HC). Methods: 21 PD FOG+, 34 PD FOG-, and 23 HC were recruited, and DTI images were acquired. The graph theoretical analysis and network-based statistical method were used to calculate the topological parameters and assess connections. Results: PD FOG+ showed a decreased normalized clustering coefficient, small-worldness, clustering coefficient, and increased local network efficiency compared with HCs. PD FOG+ showed decreased centrality, degree centrality, and nodal efficiency in the striatum, frontal gyrus, and supplementary motor area (SMA). PD FOG+ showed decreased connections in the frontal gyrus, cingulate gyrus, and caudate nucleus (CAU). The between centrality of the left SMA and left CAU was negatively correlated with FOG questionnaire scores. Conclusion: This study demonstrates that PD FOG+ exhibits disruption of global and local topological organization in structural brain networks, and the disrupted topological organization can be potential biomarkers in PD FOG+. These new findings may provide increasing insight into the pathophysiological mechanism of PD FOG+.

Indexed as

diffusion tensor imagingfreezing of gaitgraph theory analysisnetwork-based statisticParkinson’s disease

Identifiers

PMID35875794
PMCPMC9304752
OpenAlexW4284881115

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.