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帕金森病步态冻结的知识图谱:一项文献计量分析

Knowledge mapping of freezing of gait in Parkinson's disease: a bibliometric analysis.

作者信息

Jiao Yue, Liu Zaichao, Li Juan, Su Yan, Chen Xianwen

机构信息

Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.

Department of Neurology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.

出版信息

Front Neurosci. 2024 Sep 9;18:1388326. doi: 10.3389/fnins.2024.1388326. eCollection 2024.

DOI:10.3389/fnins.2024.1388326
PMID:39315077
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11417103/
Abstract

OBJECTIVE

Among the disturbing motor symptoms in Parkinson's disease (PD), freezing of gait (FOG) stands out as one of the most severe challenges. It typically arises during the initiation of gait or when turning. This phenomenon not only impose a heavy burden on patients, but also on their families. We conduct a bibliometric analysis to summarize current research hotspots and trends concerning freezing of gait in Parkinson's disease (PD-FOG) over past two decades.

METHODS

We retrieved articles and reviews published in English about PD-FOG in the Web of science Core Collection database from 2000 to 2023 on November 30,2023. The tools VOSviewer and CiteSpace facilitated a visual analysis covering various aspects such as publications, countries/regions, organizations, authors, journals, cited references, and keywords.

RESULT

This study includes 1,340 articles from 64 countries/regions. There is a growth in publications related to PD-FOG over the past two decades, maintaining a stable high output since 2018, indicating a promising research landscape in the field of PD-FOG. The United States holds a leading position in this field, with Nieuwboer A and Giladi N being two of the most influential researchers. Over the past two decades, the research hotspots for PD-FOG have primarily encompassed the kinematic characteristics, diagnosis and detection, cognitive deficits and neural connectivity, as well as therapy and rehabilitation of PD-FOG. Topics including functional connectivity, virtual reality, deep learning and machine learning will be focal points of future research.

CONCLUSION

This is the first bibliometric analysis of PD-FOG. We construct this study to summarize the research in this field over past two decades, visually show the current hotspots and trends, and offer scholars in this field concepts and strategies for subsequent studies.

摘要

目的

在帕金森病(PD)令人困扰的运动症状中,步态冻结(FOG)是最严峻的挑战之一。它通常在步态起始或转弯时出现。这种现象不仅给患者带来沉重负担,也给其家庭带来负担。我们进行文献计量分析,以总结过去二十年中关于帕金森病步态冻结(PD-FOG)的当前研究热点和趋势。

方法

2023年11月30日,我们在科学网核心合集数据库中检索了2000年至2023年以英文发表的关于PD-FOG的文章和综述。VOSviewer和CiteSpace工具促进了涵盖出版物、国家/地区、组织、作者、期刊、被引参考文献和关键词等各个方面的可视化分析。

结果

本研究纳入了来自64个国家/地区的1340篇文章。在过去二十年中,与PD-FOG相关的出版物有所增加,自2018年以来保持稳定的高产出,表明PD-FOG领域的研究前景广阔。美国在该领域占据领先地位,Nieuwboer A和Giladi N是最具影响力的两位研究人员。在过去二十年中,PD-FOG的研究热点主要包括运动学特征、诊断与检测、认知缺陷与神经连接,以及PD-FOG的治疗与康复。包括功能连接、虚拟现实、深度学习和机器学习在内的主题将是未来研究的重点。

结论

这是首次对PD-FOG进行文献计量分析。我们开展本研究以总结该领域过去二十年的研究,直观展示当前热点和趋势,并为该领域的学者提供后续研究的概念和策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ec8/11417103/27057b4095a3/fnins-18-1388326-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ec8/11417103/61981b83f502/fnins-18-1388326-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ec8/11417103/43e8d21ecf3e/fnins-18-1388326-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ec8/11417103/2a0800781dda/fnins-18-1388326-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ec8/11417103/27057b4095a3/fnins-18-1388326-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ec8/11417103/61981b83f502/fnins-18-1388326-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ec8/11417103/9bc7e2e0b5f4/fnins-18-1388326-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ec8/11417103/4c6e5d78e5dd/fnins-18-1388326-g003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ec8/11417103/43e8d21ecf3e/fnins-18-1388326-g005.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ec8/11417103/27057b4095a3/fnins-18-1388326-g007.jpg

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Mov Disord. 2024 May;39(5):876-886. doi: 10.1002/mds.29762. Epub 2024 Mar 14.
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Freezing of gait assessment with inertial measurement units and deep learning: effect of tasks, medication states, and stops.惯性测量单元和深度学习评估冻结步态:任务、药物状态和停止的影响。
J Neuroeng Rehabil. 2024 Feb 13;21(1):24. doi: 10.1186/s12984-024-01320-1.
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Comparison of state-of-the-art deep learning architectures for detection of freezing of gait in Parkinson's disease.
用于检测帕金森病步态冻结的先进深度学习架构比较
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Research trends and hotspots of post-stroke dysphagia rehabilitation: a bibliometric study and visualization analysis.脑卒中后吞咽障碍康复的研究趋势与热点:一项文献计量学研究及可视化分析
Front Neurol. 2023 Dec 8;14:1279452. doi: 10.3389/fneur.2023.1279452. eCollection 2023.
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Detection and prediction of freezing of gait with wearable sensors in Parkinson's disease.使用可穿戴传感器检测和预测帕金森病患者的冻结步态。
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