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Visual analysis of research trends of functional magnetic resonance imaging in gynecology based on CiteSpace |
ZHENG Zheng1 YU Yue1 WANG Yuxing2 YANG Xuejiao3 LIU Xinmin1 |
1.Department of Gynecology, Guang’anmen Hospital, China Academy of Chinese Medical Science, Beijing 100053, China;
2.Department of Medicine, the Second Affiliated Hospital of Dalian Medical University, Liaoning Province, Dalian 116023, China;
3.Department of Pathology, the People’s Hospital of Dalate, Inner Mongolia Autonomous Region, Ordos 014300, China
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Abstract Objective To explore the research trend of functional magnetic resonance imaging (fMRI) in gynecology by bibliometrics. Methods Relevant literatures on fMRI in the field of gynecology were retrieved from CNKI and Web of Science core collection database from November 2012 to November 2022. CiteSpace 6.1.R2 was used to analyze the author, institution, key words, study content, fMRI type, and use of analysis methods. Results A total of 156 literatures were included. In the past ten years, the number of papers published by CNKI and Web of Science core collection database had been on the rise. Xie Hongwu, Wu Junchen, and Wang Ziwen were the most prolific authors on CNKI; Web of Science core collection database was LIU PENG. Chengdu University of Traditional Chinese Medicine published the most papers on CNKI; Web of Science core collection database was Xidian University. “Acupuncture” appeared most in CNKI; Web of Science core collection database was “Menstrual cycle”. Non-randomised controlled trials were the most common type of research in CNKI; Web of Science core collection database for case control studies. Primary dysmenorrhea was the most popular research hotspot in CNKI; Web of Science core collection database was physiological states. The literatures in CNKI and Web of Science core collection database were the most without intervention measures. The fMRI types of literatures in CNKI and Web of Science core collection database were most in resting state. In terms of functional differentiation, the data analysis of CNKI was mainly low-frequency amplitude, and the software analysis was mainly in Web of Science. In terms of functional differentiation, the data analysis of CNKI was mainly low-frequency amplitude, and the software analysis was mainly in Web of Science; in terms of functional integration, both CNKI and Web of Science core collection database were based on functional connection-seed point analysis. Various gynecological diseases involve abnormal activity in different brain regions. Conclusion fMRI is widely studied in the field of gynecology, and there are some differences at home and abroad.
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