Huang Jiaqin, Cao Yun, Zhang Danli, Lei Xiaojing, Chang Jingling
Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Front Hum Neurosci. 2022 Jul 15;16:945160. doi: 10.3389/fnhum.2022.945160. eCollection 2022.
To review the current research status of the neuroimaging of aphasia, and reveal the hotspots and frontiers of research in this field.
We searched articles related to the neuroimaging research on aphasia since Web of Science (WOS) database construction and extracted the data. CiteSpace and VOSviewer were used for the country/institution analysis, journal analysis, discipline analysis, burst keyword analysis and cited-reference cluster analysis.
Of the studies retrieved from WOS, 2922 studies that related to the neuroimaging of aphasia were screened and finally included 2799 articles for research. The United States of America and University of California San Francisco were the main countries and institutions in this field. Brain had the highest impact factor in both published and cited journals. Through the discipline and topic analysis of this field, the most common category was Neurosciences and Neurology. The keyword with the strongest citation strength was "functional connectivity," and the recent burst keywords were "functional connectivity" and "network." The co-citation network showed seven clusters greater than 100. Among the top 5 clusters, the most recently formed cluster, Cluster #2 (progressive supranuclear palsy), had an average year of 2017. The literature in the top 5 clusters mainly focused on 3 aspects, specifically, the discovery of language processing models, injury and recovery mechanisms of post-stroke aphasia (PSA), and diagnosis of primary progressive aphasia (PPA) variants.
The results of this bibliometric study revealed the following three research hotspots in the neuroimaging of aphasia: clarifying the connotation of the most recognized language processing model, the dual-stream model, exploring the injury mechanism based on the dual-stream model and the recovery mechanism involving the left and right hemispheres of PSA, and determining the diagnostic criteria for PPA variants. A major research trend is to combine new neuroimaging technology, such as PET tracer technology, to realize the visual presentation of disease-specific proteins to improve the pathological diagnostic criteria of PPA variants. Accordingly, a visualized analysis of literature that uses CiteSpace provides a more rapid, repeatable and flexible method, which is more conducive to capturing research hotspots and emerging trends.
回顾失语症神经影像学的当前研究现状,揭示该领域的研究热点和前沿。
检索自Web of Science(WOS)数据库建立以来与失语症神经影像学研究相关的文章并提取数据。使用CiteSpace和VOSviewer进行国家/机构分析、期刊分析、学科分析、突现关键词分析和共被引参考文献聚类分析。
从WOS检索到的研究中,筛选出2922项与失语症神经影像学相关的研究,最终纳入2799篇文章进行研究。美国和加利福尼亚大学旧金山分校是该领域的主要国家和机构。《Brain》在已发表和被引期刊中影响因子最高。通过对该领域的学科和主题分析,最常见的类别是神经科学与神经病学。引用强度最强的关键词是“功能连接”,近期突现关键词是“功能连接”和“网络”。共被引网络显示有7个大于100的聚类。在前5个聚类中,最新形成的聚类#2(进行性核上性麻痹)平均年份为2017年。前5个聚类中的文献主要集中在3个方面,具体为语言处理模型的发现、中风后失语症(PSA)的损伤和恢复机制以及原发性进行性失语症(PPA)变体的诊断。
这项文献计量学研究结果揭示了失语症神经影像学的以下三个研究热点:明确最受认可的语言处理模型双流模型的内涵,基于双流模型探索损伤机制以及涉及PSA左右半球的恢复机制,确定PPA变体的诊断标准。一个主要研究趋势是结合新的神经影像学技术,如PET示踪技术,实现疾病特异性蛋白的可视化呈现,以改善PPA变体的病理诊断标准。因此,使用CiteSpace对文献进行可视化分析提供了一种更快速、可重复且灵活的方法,更有利于捕捉研究热点和新趋势。