Systematic ReviewBrain functional connectivity network studies of acupuncture: a systematic review on resting-state fMRI
Introduction
Acupuncture has been used as a traditional medicine in China for over 2000 years [1], and is now rapidly gaining popularity in Western alternative and complementary medicine practice for its undeniable therapeutic effects [2]. Exploring the mechanism of acupuncture has been a hot topic in the research of alternative and complementary medicine.
Since the 1970s, many studies in animal models have shown that the integration of the central nervous system is involved in the effect of acupuncture [3]. In the last 20 years, extensive functional magnetic resonance imaging (fMRI) research has focused on the study of the neurophysiological mechanism of acupuncture. Using neuroimaging technologies, researchers have been able to examine the acupuncture process in the brain noninvasively [4]. fMRI is a new method to quantify how acupuncture affects changes in the brain network [5], [6], [7], [8]. Many resting-state fMRI (rs-fMRI) studies have indicated that acupuncture regulates the activity of some cortical and subcortical brain regions [9], [10], [11].
This review presents a summary of current studies about brain functional connectivity networks in acupuncture research. The authors discussed aspects of study participants, acupoints, acupuncture methods, research methodology and their associated challenges. For this purpose, the study outcomes are discussed in several subgroups. The results provide an overview of changes in functional connectivity networks stimulated by different acupuncture acupoints or methods.
Section snippets
Literature search
The authors adopted a systematic search strategy according to the PRISMA guidelines [12]. Electronic searches were performed in PubMed using the keywords “acupuncture” and “neuroimaging” or “resting-state fMRI” or “functional connectivity”. Then the articles were screened by title and abstract. The PubMed database was initially searched from January 1, 2006 to December 31, 2016 with restriction to human studies in English language.
Eligibility criteria
Original studies of acupuncture on the brain functional
Study inclusion
A literature search was conducted, including publications from 2006 to 2016. Our search terms retrieved 136 records. After screening the title and abstract, the number was reduced to 83 articles. A further 39 articles were excluded when the full text failed to meet the inclusion criteria, leaving 44 articles for use in this study (Fig. 1). The publication year of all articles is shown in Fig. 2.
Result tables
A comparison of all included studies with regard to acupoints used, control intervention, number of
Discussion
Neuroimaging, as an effective means to explore the central mechanism of acupuncture’s effects, is widely used in acupuncture research. In recent years, instead of focusing on the changes in a single brain area during acupuncture, the researchers have focused more on the relationships among brain areas. The development of medical imaging has provided a good technical platform for the study of acupuncture mechanism. Brain connection is one of the most popular concepts in neuroscience at present,
Conclusion
This review provides an overview of 44 neuroimaging studies, including trials with healthy subjects, and patients with nervous system diseases, motor system diseases and other diseases. The results of this review show that acupuncture could increase DMN, SMN connectivity with pain-, affective- and memory-related brain areas. Verum acupuncture showed significantly greater connectivity between the PAG, ACC, left PCC, insula, limbic/paralimbic and precuneus compared with sham acupuncture. Some
Funding
This article was supported by the National Natural Science Foundation of China (No. 81473784), University Science Research Project of Anhui Province of China (No. KJ2017A298), the Key Project of the Youth Elite Support Plan in Universities of Anhui Province of China (No. gxyqZD2016134), Construction Project of Scientific Research Innovation Platform of Anhui Province of China (No. 2015TD033).
Conflict of interest
The authors declare that there is no conflict of interest regarding the publication of this paper.
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