Evidence map›Paper›PMID 37243751›Full record

ArticleBrain imaging and behavior2023

Abnormal functional connectivity density involvement in freezing of gait and its application for subtyping Parkinson's disease.

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

Abstract read
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In one paragraph

Article in Brain imaging and behavior, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. 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

8 authors at 3 institutions in 2 countries.

Chaoyang JinCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China.ORCID http://orcid.org/0000-0002-9749-8962
Shouliang QiCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China. 2969697040@qq.com.ORCID http://orcid.org/0000-0003-0977-1939
Lei YangCollege 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, USA.
Xiuhang RuanDepartment of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China.
Xinhua WeiDepartment of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China.
Northeastern University · CNGuangzhou First People's Hospital · CNStevens Institute of Technology · US

Funding

Fundamental Research Funds for the Central Universities N2119010, N2224001-10National Natural Science Foundation of China 81871846National Natural Science Foundation of China 82072008Natural Science Foundation of Guangdong Province 2021A1515011288Science and Technology Project of Guangzhou, China 202102010020
6 · The paper itself

Abstract

The pathophysiological mechanisms at work in Parkinson's disease (PD) patients with freezing of gait (FOG) remain poorly understood. Functional connectivity density (FCD) could provide an unbiased way to analyse connectivity across the brain. In this study, a total of 23 PD patients with FOG (PD FOG + patients), 26 PD patients without FOG (PD FOG- patients), and 22 healthy controls (HCs) were recruited, and their resting-state functional magnetic resonance imaging (rs-fMRI) images were collected. FCD mapping was first performed to identify differences between groups. Pearson correlation analysis was used to explore relationships between FCD values and the severity of FOG. Then, a machine learning model was employed to classify each pair of groups. PD FOG + patients showed significantly increased short-range FCD in the precuneus, cingulate gyrus, and fusiform gyrus and decreased long-range FCD in the frontal gyrus, temporal gyrus, and cingulate gyrus. Short-range FCD values in the middle temporal gyrus and inferior temporal gyrus were positively correlated with FOG questionnaire (FOGQ) scores, and long-range FCD values in the middle frontal gyrus were negatively correlated with FOGQ scores. Using FCD in abnormal regions as input, a support vector machine (SVM) classifier can achieve classification with good performance. The mean accuracy values were 0.895 (PD FOG + vs. HC), 0.966 (PD FOG- vs. HC), and 0.897 (PD FOG + vs. PD FOG-). This study demonstrates that PD FOG + patients showed altered short- and long-range FCD in several brain regions involved in action planning and control, motion processing, emotion, cognition, and object recognition.

Indexed as

Gait Disorders, NeurologicParkinson DiseaseGaitHumansMagnetic Resonance ImagingNeural PathwaysFreezing of gaitFunctional connectivity densityParkinson’s diseaseResting-state fMRISupport vector machine

Identifiers

PMID37243751
OpenAlexW4378420806

What OpenQuestion holds

Textmetadata
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.