近 12 年多模态 MRI 对血管性认知障碍的研究热点和趋势：文献计量分析。

BACKGROUND: Multimodality magnetic resonance imaging (MRI) is widely used to detect vascular cognitive impairment (VCI). However, a bibliometric analysis of this issue remains unknown. Therefore, this study aimed to explore the research hotspots and trends of multimodality MRI on VCI over the past 12 years based on the Web of Science core collection using CiteSpace Software (6.1R2). METHODS: Literature related to multimodality MRI for VCI from 2010 to 2021 was identified and analyzed from the Web of Science core collection database. We analyzed the countries, institutions, authors, cited journals, references, keyword bursts, and clusters using CiteSpace. RESULTS: In total, 587 peer-reviewed documents were retrieved, and the annual number of publications showed an exponential growth trend over the past 12 years. The most productive country was the USA, with 182 articles, followed by China with 134 papers. The top 3 active academic institutions were Capital Medical University, Radboud UNIV Nijmegen, and UNIV Toronto. The most productive journal was the Journal of Alzheimer's Disease (33 articles). The most co-cited journal was Neurology, with the highest citations (492) and the highest intermediary centrality (0.14). The top-ranked publishing author was De Leeuw FE (17 articles) with the highest intermediary centrality of 0.04. Ward Law JM was the most cited author (123 citations) and Salat Dh was the most centrally cited author (0.24). The research hotspots of multimodal MRI for VCI include Alzheimer disease, vascular cognitive impairment, white matter intensity, cerebrovascular disease, dementia, mild cognitive impairment, neurovascular coupling, acute ischemic stroke, depression, and cerebral ischemic stroke. The main frontiers in the keywords are fMRI, vascular coupling, and cerebral ischemic stroke, and current research trends include impact, decline, and classification. CONCLUSIONS: The findings from this bibliometric study provide research hotspots and trends for multimodality MRI for VCI over the past 12 years, which may help researchers identify hotspots and explore cutting-edge trends in this field.

背景：多模态磁共振成像（MRI）广泛用于检测血管性认知障碍（VCI）。然而，针对这一问题的文献计量分析仍不清楚。因此，本研究旨在使用 CiteSpace 软件（6.1R2），基于 Web of Science 核心合集，对过去 12 年多模态 MRI 对 VCI 的研究热点和趋势进行探讨。

方法：从 Web of Science 核心合集数据库中确定并分析了 2010 年至 2021 年与多模态 MRI 对 VCI 相关的文献。使用 CiteSpace 分析国家、机构、作者、被引期刊、参考文献、关键词突发和聚类。

结果：共检索到 587 篇同行评议文献，过去 12 年来，年发文量呈指数增长趋势。发文最多的国家是美国，有 182 篇文章，其次是中国，有 134 篇。最活跃的 3 个学术机构是首都医科大学、奈梅亨拉德堡德大学和多伦多大学。最具生产力的期刊是《阿尔茨海默病杂志》（33 篇）。最常被引的期刊是神经病学，被引次数（492）和中介中心性（0.14）最高。发文量最高的作者是 De Leeuw FE（17 篇），中介中心性最高为 0.04。Ward Law JM 是被引最多的作者（123 次），Salat Dh 是被引最多的作者（0.24）。多模态 MRI 对 VCI 的研究热点包括阿尔茨海默病、血管性认知障碍、白质强度、脑血管疾病、痴呆、轻度认知障碍、神经血管耦联、急性缺血性脑卒中、抑郁和脑缺血性脑卒中。关键词的主要前沿是 fMRI、血管耦联和脑缺血性脑卒中，当前研究趋势包括影响、下降和分类。

结论：本计量研究结果提供了过去 12 年多模态 MRI 对 VCI 的研究热点和趋势，可能有助于研究人员识别该领域的热点和探索前沿趋势。