Sun Xiaoyu, Zhu Jianghua, Li Ruowei, Peng Yun, Gong Lianggeng
Department of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Jiangxi Provincial Key Laboratory of Intelligent Medical Imaging, Nanchang, China.
Front Neurol. 2025 Jan 15;15:1510522. doi: 10.3389/fneur.2024.1510522. eCollection 2024.
Alzheimer's disease (AD) is a common neurodegenerative disorder worldwide and the using of magnetic resonance imaging (MRI) in the management of AD is increasing. The present study aims to summarize MRI in AD researches via bibliometric analysis and predict future research hotspots.
We searched for records related to MRI studies in AD patients from 2004 to 2023 in the Web of Science Core Collection (WoSCC) database. CiteSpace was applied to analyze institutions, references and keywords. VOSviewer was used for the analysis of countries, authors and journals.
A total of 13,659 articles were obtained in this study. The number of published articles showed overall exponential growth from 2004 to 2023. The top country and institution were the United States and the University of California System, accounting for 40.30% and 9.88% of the total studies, respectively. Jack CR from the United States was the most productive author. The most productive journal was the Journal of Alzheimers Disease. Keyword burst analysis revealed that "machine learning" and "deep learning" were the keywords that frequently appeared in the past 6 years. Timeline views of the references revealed that "#0 tau pathology" and "#1 deep learning" are currently the latest research focuses.
This study provides an in-depth overview of publications on MRI studies in AD. The United States is the leading country in this field with a concentration of highly productive researchers and high-level institutions. The current research hotspot is deep learning, which is being applied to develop noninvasive diagnosis and safer treatment of AD.
阿尔茨海默病（AD）是全球常见的神经退行性疾病，磁共振成像（MRI）在AD管理中的应用日益增加。本研究旨在通过文献计量分析总结MRI在AD研究中的情况，并预测未来研究热点。
我们在科学网核心合集（WoSCC）数据库中搜索了2004年至2023年与AD患者MRI研究相关的记录。应用CiteSpace分析机构、参考文献和关键词。使用VOSviewer分析国家、作者和期刊。
本研究共获得13659篇文章。从2004年到2023年，发表文章的数量总体呈指数增长。排名第一的国家和机构分别是美国和加利福尼亚大学系统，分别占总研究的40.30%和9.88%。来自美国的杰克·C·R是产量最高的作者。产量最高的期刊是《阿尔茨海默病杂志》。关键词突现分析显示，“机器学习”和“深度学习”是过去6年频繁出现的关键词。参考文献的时间线视图显示，“#0 tau病理”和“#1深度学习”是目前最新的研究重点。
本研究深入概述了AD中MRI研究的出版物情况。美国是该领域的领先国家，集中了高产研究人员和高水平机构。当前的研究热点是深度学习，其正被应用于开发AD的无创诊断和更安全的治疗方法。
