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Overview of evidence-based research on acupuncture for stroke treatment using magnetic resonance imaging technology.

Authors :
Ke C
Shi W
Zhou Z
Xie Z
Sun M
Yu J
Shan S
Zhang W
Source :
Frontiers in neuroscience [Front Neurosci] 2024 Nov 25; Vol. 18, pp. 1495435. Date of Electronic Publication: 2024 Nov 25 (Print Publication: 2024).
Publication Year :
2024

Abstract

Background: Stroke is a neurological condition characterized by high rates of disability and mortality. Magnetic resonance imaging (MRI) is widely used to examine the mechanisms of acupuncture in stroke treatment.<br />Purpose: This review provides neuroimaging evidence for the efficacy of acupuncture in treating stroke using MRI.<br />Method: We conducted a comprehensive search of databases, including PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure (CNKI), Wan Fang Data, Chinese BioMedical Literature Database (CBM), and Chonqing VIP (CQVIP), from inception to April 2024. Relevant neuroimaging studies on acupuncture for stroke were included, and the research findings were presented through charts and textual analyses.<br />Results: A total of 158 studies were included, and the overall methodological quality of the included studies was moderate to high. The results were divided into three categories: basic characteristics, clinical characteristics, and quality assessment of the included literature.<br />Conclusion: We elucidated the neural mechanisms underlying the effects of acupuncture on stroke; however, the evidence remains preliminary. There is a need for large-scale, well-designed, multimodal neuroimaging trials. This review represents the first active use of an evidence map to systematically review and illustrate the current state of neuroimaging research on the acupuncture treatment of stroke, thereby providing a valuable reference for future research.<br />Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.<br /> (Copyright © 2024 Ke, Shi, Zhou, Xie, Sun, Yu, Shan and Zhang.)

Details

Language :
English
ISSN :
1662-4548
Volume :
18
Database :
MEDLINE
Journal :
Frontiers in neuroscience
Publication Type :
Academic Journal
Accession number :
39654647
Full Text :
https://doi.org/10.3389/fnins.2024.1495435