The global research of magnetic resonance imaging in Alzheimer’s disease: a bibliometric analysis from 2004 to 2023
BackgroundAlzheimer’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.Methods...
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Neurology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fneur.2024.1510522/full |
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| author | Xiaoyu Sun Xiaoyu Sun Jianghua Zhu Jianghua Zhu Ruowei Li Ruowei Li Yun Peng Yun Peng Lianggeng Gong Lianggeng Gong |
| author_facet | Xiaoyu Sun Xiaoyu Sun Jianghua Zhu Jianghua Zhu Ruowei Li Ruowei Li Yun Peng Yun Peng Lianggeng Gong Lianggeng Gong |
| author_sort | Xiaoyu Sun |
| collection | DOAJ |
| description | BackgroundAlzheimer’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.MethodsWe 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.ResultsA 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.ConclusionThis 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. |
| format | Article |
| id | doaj-art-70c9165c77b1474cbeb8061e0dc4640c |
| institution | Kabale University |
| issn | 1664-2295 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neurology |
| spelling | doaj-art-70c9165c77b1474cbeb8061e0dc4640c2025-01-15T05:10:23ZengFrontiers Media S.A.Frontiers in Neurology1664-22952025-01-011510.3389/fneur.2024.15105221510522The global research of magnetic resonance imaging in Alzheimer’s disease: a bibliometric analysis from 2004 to 2023Xiaoyu Sun0Xiaoyu Sun1Jianghua Zhu2Jianghua Zhu3Ruowei Li4Ruowei Li5Yun Peng6Yun Peng7Lianggeng Gong8Lianggeng Gong9Department of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, ChinaJiangxi Provincial Key Laboratory of Intelligent Medical Imaging, Nanchang, ChinaDepartment of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, ChinaJiangxi Provincial Key Laboratory of Intelligent Medical Imaging, Nanchang, ChinaDepartment of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, ChinaJiangxi Provincial Key Laboratory of Intelligent Medical Imaging, Nanchang, ChinaDepartment of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, ChinaJiangxi Provincial Key Laboratory of Intelligent Medical Imaging, Nanchang, ChinaDepartment of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, ChinaJiangxi Provincial Key Laboratory of Intelligent Medical Imaging, Nanchang, ChinaBackgroundAlzheimer’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.MethodsWe 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.ResultsA 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.ConclusionThis 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.https://www.frontiersin.org/articles/10.3389/fneur.2024.1510522/fullAlzheimer’s diseasemagnetic resonance imagingbibliometricVOSviewerCiteSpace |
| spellingShingle | Xiaoyu Sun Xiaoyu Sun Jianghua Zhu Jianghua Zhu Ruowei Li Ruowei Li Yun Peng Yun Peng Lianggeng Gong Lianggeng Gong The global research of magnetic resonance imaging in Alzheimer’s disease: a bibliometric analysis from 2004 to 2023 Frontiers in Neurology Alzheimer’s disease magnetic resonance imaging bibliometric VOSviewer CiteSpace |
| title | The global research of magnetic resonance imaging in Alzheimer’s disease: a bibliometric analysis from 2004 to 2023 |
| title_full | The global research of magnetic resonance imaging in Alzheimer’s disease: a bibliometric analysis from 2004 to 2023 |
| title_fullStr | The global research of magnetic resonance imaging in Alzheimer’s disease: a bibliometric analysis from 2004 to 2023 |
| title_full_unstemmed | The global research of magnetic resonance imaging in Alzheimer’s disease: a bibliometric analysis from 2004 to 2023 |
| title_short | The global research of magnetic resonance imaging in Alzheimer’s disease: a bibliometric analysis from 2004 to 2023 |
| title_sort | global research of magnetic resonance imaging in alzheimer s disease a bibliometric analysis from 2004 to 2023 |
| topic | Alzheimer’s disease magnetic resonance imaging bibliometric VOSviewer CiteSpace |
| url | https://www.frontiersin.org/articles/10.3389/fneur.2024.1510522/full |
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