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

IF 3.2 3区 医学 Q2 NEUROSCIENCES Frontiers in Neuroscience Pub Date : 2024-09-09 DOI:10.3389/fnins.2024.1388326
Yue Jiao, Zaichao Liu, Juan Li, Yan Su, Xianwen Chen
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Abstract

ObjectiveAmong 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.MethodsWe 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.ResultThis 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.ConclusionThis 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.
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帕金森病步态冻结的知识图谱:文献计量分析
目的在帕金森病(PD)令人不安的运动症状中,步态冻结(FOG)是最严重的挑战之一。它通常出现在步态开始或转身时。这种现象不仅给患者造成了沉重的负担,也给他们的家庭造成了沉重的负担。我们进行了文献计量学分析,总结了近二十年来有关帕金森病步态冻结(PD-FOG)的研究热点和趋势。方法我们检索了 Web of science Core Collection 数据库中 2000 年至 2023 年(截至 2023 年 11 月 30 日)发表的有关帕金森病步态冻结的英文文章和综述。利用 VOSviewer 和 CiteSpace 工具进行了可视化分析,分析内容涵盖出版物、国家/地区、组织、作者、期刊、引用文献和关键词等各个方面。在过去二十年中,与PD-FOG相关的出版物不断增加,自2018年以来保持了稳定的高产出,表明PD-FOG领域的研究前景广阔。美国在这一领域占据领先地位,其中 Nieuwboer A 和 Giladi N 是最具影响力的两位研究人员。过去二十年来,PD-FOG 的研究热点主要包括运动学特征、诊断和检测、认知障碍和神经连接,以及 PD-FOG 的治疗和康复。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成为未来研究的重点。我们通过本研究总结了过去二十年该领域的研究情况,直观地展示了当前的研究热点和趋势,并为该领域的学者提供了后续研究的理念和策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Frontiers in Neuroscience
Frontiers in Neuroscience NEUROSCIENCES-
CiteScore
6.20
自引率
4.70%
发文量
2070
审稿时长
14 weeks
期刊介绍: Neural Technology is devoted to the convergence between neurobiology and quantum-, nano- and micro-sciences. In our vision, this interdisciplinary approach should go beyond the technological development of sophisticated methods and should contribute in generating a genuine change in our discipline.
期刊最新文献
Dual-factor model of sleep and diet: a new approach to understanding central fatigue The digital twin in neuroscience: from theory to tailored therapy Corrigendum: Diagnosis for autism spectrum disorder children using T1-based gray matter and arterial spin labeling-based cerebral blood flow network metrics. Inclusion, reporting and analysis of demographic variables in chronobiology and sleep research. Study of a precise treatment protocol for patients with consciousness disorders based on the brain network analysis of functional magnetic resonance imaging.
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