Bibliometric analysis of research on the use of electroencephalography in the field of acupuncture of last 20 years
LIU Peidong
CHEN Xinwang
JI Miaomiao
LI Bingzhen
SHI Ce
WANG Qian
WU Yuzhu
JIAN Siyu
Abstract：Objective To systematically analyze the research dynamics and core progress of electroencephalography(EEG)applied to acupuncture in the past 20 years by using bibliometric methods,to reveal the development trend of the discipline,the international cooperation mode,and the potential of clinical translation.Methods Based on the Web of Science core ensemble database,181 documents were included and visualized using CiteSpace software,including annual publication volume,national/regional collaborative networks,journal co-citation,keyword co-occurrence and clustering analyses,and combined with emergent words to detect the stage-by-stage evolution of research hotspots.Results The number of articles published each year has shown a steady upward trend,with China(excluding Taiwan Province of China)publishing the most articles(n=97),and the highest collaborative centrality in the UK(0.59).The high-frequency cited journals were concentrated in the fields of neuroimaging and alternative medicine.Keyword analysis showed that research hotspots gradually shifted from pain and electroacupuncture to brain network regulation,randomized controlled trials and multimodal imaging techniques,and clustering themes focused on acupuncture neuromodulation mechanisms and autonomic nervous system regulation.The emergent words indicate that brain modeling and functional connectivity have become emerging directions,and EEG technology confirms that acupuncture enhances alpha rhythm synchronization and improves brain network topology,providing electrophysiological evidence for clinical efficacy such as stroke rehabilitation.Conclusion The cross-study of EEG and acupuncture has shifted from single-mechanism exploration to complex system analysis,and in the future,it is necessary to deeply integrate the multimodal technologies such as EEG-fMRI,artificial intelligence algorithms,and clinical data,to construct a dynamic assessment system of acupuncture efficacy,and to promote the optimization of personalized treatment plans and the translation of precision medicine.
Keywords：acupunctureelectroencephalogrambibliometrics
Publication Date：2025-10-20
Online Publishing Date：2025-11-24(First online date of this platform, not the publication date of the document)
Pages：8( 1232-1239 )