Global Trends and Performances of Magnetic Resonance Imaging Studies on Acupuncture : A Bibliometric Analysis

Copyright © 2021 Zhang, Zhang, Hu, Huang, Liu, Li, Hu, Xu and Yu..

Objectives: To summarize development processes and research hotspots of MRI research on acupuncture and to provide new insights for researchers in future studies. Methods: Publications regarding MRI on acupuncture from inception to 2020 were downloaded from the Web of Science Core Collection. VOSviewer 1.6.15 and CiteSpace V software were used for bibliometric analyses. The main analyses include collaboration analyses between countries/institutions/authors, co-occurrence analysis between keywords, as well as analyses on keyword bursts, citation references, and clusters of references. Results: A total of 829 papers were obtained with a continually increased trend over time. The most productive country and institution in this field were the People's Republic of China (475) and KyungHee University (70), respectively. Evidence-based Complementary and Alternative Medicine (83) was the most productive journal, and Neuroimage (454) was the most co-cited journal. Dhond's et al. (2008) article (co-citation counts: 58) and Napadow's et al. (2005) article (centrality: 0.21) were the most representative and symbolic references, with the highest co-citation number and centrality, respectively. Jie Tian had the highest number of publications (35) and Kathleen K S Hui was the most influential author (280 co-citations). The four hot topics in MRI on acupuncture were acupuncture, fMRI, pain, and stimulation. The three frontier topics were connectivity, modulation, and fMRI. Based on the clustering of co-cited documents, chronic low back pain, sham electro-acupuncture treatment, and clinical research were the main research directions. Conclusion: This study provides an in-depth perspective for MRI research on acupuncture and provides researchers with valuable information to determine the current status, hot spots, and frontier trends of MRI research on acupuncture.

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:14

Enthalten in:

Frontiers in neuroscience - 14(2020) vom: 25., Seite 620555

Sprache:

Englisch

Beteiligte Personen:

Zhang, Jinhuan [VerfasserIn]
Zhang, Yangxin [VerfasserIn]
Hu, Liyu [VerfasserIn]
Huang, Xingxian [VerfasserIn]
Liu, Yongfeng [VerfasserIn]
Li, Jiaying [VerfasserIn]
Hu, Qingmao [VerfasserIn]
Xu, Jinping [VerfasserIn]
Yu, Haibo [VerfasserIn]

Links:

Volltext

Themen:

Acupuncture
Bibliometric analysis
Co-citation analysis
Magnetic resonance imaging
Systematic Review
Web of Science

Anmerkungen:

Date Revised 10.02.2021

published: Electronic-eCollection

Citation Status PubMed-not-MEDLINE

doi:

10.3389/fnins.2020.620555

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM321122550