在帕金森病中结步态的知识映射:一个文献计量分析分析
Yue Jiao1, Zaichao Liu1, Juan Li2
1Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Frontiers in neuroscience
|September 24, 2024
概括
本文献分析揭示了20年来帕金森病 (PD) 结步态 (FOG) 研究的关键趋势. 关键领域包括诊断,认知联系和康复,未来重点是AI和VR.
科学领域:
- 神经学 神经学
- 运动障碍 运动障碍
- 图书统计学 图书统计学
背景情况:
- 步态结 (FOG) 是帕金森病 (PD) 的严重运动症状,严重影响患者和家人.
- 了解研究趋势对于推进FOG管理和治疗战略至关重要.
研究的目的:
- 为了进行帕金森病结步态 (PD-FOG) 研究的第一个文献分析.
- 总结过去二十年 (2000-2023) 的研究热点和趋势.
- 为PD-FOG的未来研究方向提供见解.
主要方法:
- 对来自64个国家/地区的1340篇文章进行了图书统计分析.
- 从科学网络核心集合 (2000-2023) 获取的数据.
- 使用VOSviewer和CiteSpace工具进行视觉分析.
主要成果:
- 自2018年以来,PD-FOG出版物的持续增长表明研究环境正在增长.
- 美国在PD-FOG研究方面处于领先地位,著名的研究人员包括Nieuwboer A和Giladi N.
- 确定了关键的研究领域:运动特征,诊断,认知缺陷,神经连接,治疗和康复.
结论:
- 这项研究提供了20多年来PD-FOG研究的全面概述.
- 确定的未来研究重点包括功能连接,虚拟现实,深度学习和机器学习.
- 这些发现为PD-FOG领域的研究人员提供了战略见解.
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