Literature DB >> 32723234

Does the Acupoint Specificity Exist? Evidence from Functional Neuroimaging Studies.

Ke Qiu1, Tao Yin1, Xiaojuan Hong1, Ruirui Sun1, Zhaoxuan He1, Xiaoyan Liu1, Peihong Ma1, Jie Yang1, Lei Lan1, Zhengjie Li1, Chenjian Tang1, Shirui Cheng1, Fanrong Liang1, Fang Zeng1.   

Abstract

BACKGROUND: Using functional neuroimaging techniques to explore the central mechanism of acupoint specificity, the key of acupuncture theory and clinical practice, has attracted increasing attention worldwide. This review aimed to investigate the current status of functional neuroimaging studies on acupoint specificity and explore the potential influencing factors for the expression of acupoint specificity in neuroimaging studies.
METHODS: PubMed database was searched from January 1st, 1995 to December 31st, 2016 with the language restriction in English. Data including basic information, methodology and study results were extracted and analyzed from the eligible records.
RESULTS: Seventy-nine studies were finally enrolled. 65.8% of studies were performed in China, 73.4% of studies were conducted with healthy subjects, 77.2% of studies chose manual acupuncture as the intervention, 86.1% of studies focused on the instant efficacy and 89.9% of studies used functional magnetic resonance imaging as scanning technique. The average sample size was 16 per group. The comparison of verum acupoints and sham acupoints were the main body of acupoint specificity researches. 93.7% of studies obtained the positive results and favored the existence of acupoint specificity.
CONCLUSION: This review affirmed the existence of acupoint specificity and deemed that the acupoint specificity was relative. Multiple factors such as participants, sample size, acupoint combinations, treatment courses, and types of acupoint could influence the expression of acupoint specificity. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Entities:  

Keywords:  Acupuncture; acupoint specificity; fMRI; functional neuroimaging; neuroimaging; nonacupoints

Mesh:

Year:  2020        PMID: 32723234     DOI: 10.2174/1573405615666190220113111

Source DB:  PubMed          Journal:  Curr Med Imaging


  2 in total

Review 1.  Machine Learning in Neuroimaging: A New Approach to Understand Acupuncture for Neuroplasticity.

Authors:  Tao Yin; Peihong Ma; Zilei Tian; Kunnan Xie; Zhaoxuan He; Ruirui Sun; Fang Zeng
Journal:  Neural Plast       Date:  2020-08-24       Impact factor: 3.599

2.  Scalp Acupuncture Enhances the Functional Connectivity of Visual and Cognitive-Motor Function Network of Patients with Acute Ischemic Stroke.

Authors:  Huacong Liu; Lanpin Chen; Guifeng Zhang; Yijing Jiang; Shanshan Qu; Songyan Liu; Yong Huang; Junqi Chen
Journal:  Evid Based Complement Alternat Med       Date:  2020-12-02       Impact factor: 2.629

  2 in total

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