A Mathematical Model for the Instigation and Transmission of Biological and Neural Signals in Response to Acupuncture
Year: 2015
Communications in Computational Physics, Vol. 18 (2015), Iss. 4 : pp. 868–880
Abstract
Acupuncture has been in clinical practice in China for thousands of years and its analgesia effect is worldwide accepted. However, the mechanism of acupuncture effect is not well understood. The study focuses on signaling pathways induced by acupuncture, analyzes the cooperative action of the acupoints' structure and the associated chemical mediators during acupuncture, establishes a mathematical model clarifying the roadmap of electroneurographic signal startup and transmission mechanism induced by acupuncture, quantitatively analyzing the response in acupoints to acupuncture. These work contributes to reveal the activation and transmission mechanism of neural signals induced by acupuncture from systems biology perspective, lays the foundation for the integration of acupuncture theory and modern science and further guides the clinical treatment and experimental research of acupuncture.
You do not have full access to this article.
Already a Subscriber? Sign in as an individual or via your institution
Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/10.4208/cicp.091114.170415s
Communications in Computational Physics, Vol. 18 (2015), Iss. 4 : pp. 868–880
Published online: 2015-01
AMS Subject Headings: Global Science Press
Copyright: COPYRIGHT: © Global Science Press
Pages: 13
-
Advanced Acupuncture Research: From Bench to Bedside
Current Advances in Mathematical Models of Initial Response to Mechanical Stimulation at Acupoint
Yao, Wei
2022
https://doi.org/10.1007/978-3-030-96221-0_2 [Citations: 0] -
Advanced Acupuncture Research: From Bench to Bedside
Signal Transduction in Acupoints
Wang, Xuezhi | Yao, Wei | Huang, Meng | Zhang, Di | Xia, Ying | Ding, Guanghong2022
https://doi.org/10.1007/978-3-030-96221-0_3 [Citations: 0] -
Automated Drug Delivery in Anesthesia
A multiscale pathway paradigm for pain characterization
Ionescu, Clara M.
2020
https://doi.org/10.1016/B978-0-12-815975-0.00009-6 [Citations: 0]