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[Analysis on acupoint selection rules of acupuncture for Alzheimer's disease based on complex network].
Zhongguo Zhen Jiu 2019; 39(5):551-5ZZ

Abstract

OBJECTIVE

To explore the acupoint selection rules of acupuncture for Alzheimer's disease (AD) in modern clinical practice by complex network technology.

METHODS

The relevant articles of clinical trials were retrieved from CNKI published before December 2017. Using Microsoft Excel 2010, the database was established. Using Gephi 0.8.2 software, the complex network mode was built and its topological structure was analyzed.

RESULTS

Finally, 81 articles were eligible and 114 acupoint prescriptions were extracted. The constructed complex network of acupoint prescriptions for AD was characteristics as small world effect and scale-free property, the crucial acupoints included Baihui (GV 20), Sishencong (EX-HN 1), Fengchi (GB 20), Yintang (GV 29), Shenmen (HT 7), Shenting (GV 24), Zusanli (ST 36), Fenglong (ST 40) and Taichong (LR 3). In acupoint combination, Baihui (GV 20), Neiguan (PC 6), Shenmen (HT 7) and Sanyinjiao (SP 6) were the most common, and the combination of the distal and nearby points was predominant. Using k-core for acupoint optimization, 29 core acupoints were screened and they were mostly located on the governor vessel and the head and neck, with the highest use frequency. 82.76% of acupoints were specific acupoints and the influential points were dominant. Using community structure partition, these acupoints were classified into two groups, i.e. deficiency syndrome and excess syndrome.

CONCLUSION

The selection of local acupoints is the first choice in acupuncture treatment for AD. The combination of distal and nearby points is the most common and the special points are the core. In clinical practice, the great consideration is provided on mind regulation, integration of disease and symptoms, the mutual treatment of the primary and the secondary as well as the deficiency and the excess.

Authors+Show Affiliations

Tianjin University of TCM, Tianjin 300193, China.Department of Acupuncture-Moxibustion and Encephalopathy, the Second Affiliated Hospital of Tianjin University of TCM, Tianjin 300250.Department of Encephalopathy, Guangxi International Zhuang Medicine Hospital.Tianjin University of TCM, Tianjin 300193, China.Department of Acupuncture-Moxibustion and Encephalopathy, the Second Affiliated Hospital of Tianjin University of TCM, Tianjin 300250.

Pub Type(s)

Journal Article

Language

chi

PubMed ID

31099230

Citation

Yu, Zhen, et al. "[Analysis On Acupoint Selection Rules of Acupuncture for Alzheimer's Disease Based On Complex Network]." Zhongguo Zhen Jiu = Chinese Acupuncture & Moxibustion, vol. 39, no. 5, 2019, pp. 551-5.
Yu Z, Xu JC, Qin QJ, et al. [Analysis on acupoint selection rules of acupuncture for Alzheimer's disease based on complex network]. Zhongguo Zhen Jiu. 2019;39(5):551-5.
Yu, Z., Xu, J. C., Qin, Q. J., Ni, D. Y., & Zhang, Y. L. (2019). [Analysis on acupoint selection rules of acupuncture for Alzheimer's disease based on complex network]. Zhongguo Zhen Jiu = Chinese Acupuncture & Moxibustion, 39(5), pp. 551-5. doi:10.13703/j.0255-2930.2019.05.025.
Yu Z, et al. [Analysis On Acupoint Selection Rules of Acupuncture for Alzheimer's Disease Based On Complex Network]. Zhongguo Zhen Jiu. 2019 May 12;39(5):551-5. PubMed PMID: 31099230.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - [Analysis on acupoint selection rules of acupuncture for Alzheimer's disease based on complex network]. AU - Yu,Zhen, AU - Xu,Jia-Chun, AU - Qin,Qi-Jing, AU - Ni,Dao-Yan, AU - Zhang,Yu-Lian, PY - 2019/5/18/entrez PY - 2019/5/18/pubmed PY - 2019/8/23/medline KW - Alzheimer’s disease KW - acupoint selection rules KW - acupuncture KW - complex network SP - 551 EP - 5 JF - Zhongguo zhen jiu = Chinese acupuncture & moxibustion JO - Zhongguo Zhen Jiu VL - 39 IS - 5 N2 - OBJECTIVE: To explore the acupoint selection rules of acupuncture for Alzheimer's disease (AD) in modern clinical practice by complex network technology. METHODS: The relevant articles of clinical trials were retrieved from CNKI published before December 2017. Using Microsoft Excel 2010, the database was established. Using Gephi 0.8.2 software, the complex network mode was built and its topological structure was analyzed. RESULTS: Finally, 81 articles were eligible and 114 acupoint prescriptions were extracted. The constructed complex network of acupoint prescriptions for AD was characteristics as small world effect and scale-free property, the crucial acupoints included Baihui (GV 20), Sishencong (EX-HN 1), Fengchi (GB 20), Yintang (GV 29), Shenmen (HT 7), Shenting (GV 24), Zusanli (ST 36), Fenglong (ST 40) and Taichong (LR 3). In acupoint combination, Baihui (GV 20), Neiguan (PC 6), Shenmen (HT 7) and Sanyinjiao (SP 6) were the most common, and the combination of the distal and nearby points was predominant. Using k-core for acupoint optimization, 29 core acupoints were screened and they were mostly located on the governor vessel and the head and neck, with the highest use frequency. 82.76% of acupoints were specific acupoints and the influential points were dominant. Using community structure partition, these acupoints were classified into two groups, i.e. deficiency syndrome and excess syndrome. CONCLUSION: The selection of local acupoints is the first choice in acupuncture treatment for AD. The combination of distal and nearby points is the most common and the special points are the core. In clinical practice, the great consideration is provided on mind regulation, integration of disease and symptoms, the mutual treatment of the primary and the secondary as well as the deficiency and the excess. SN - 0255-2930 UR - https://www.unboundmedicine.com/medline/citation/31099230/[Analysis_on_acupoint_selection_rules_of_acupuncture_for_Alzheimer's_disease_based_on_complex_network]_ L2 - https://medlineplus.gov/alzheimersdisease.html DB - PRIME DP - Unbound Medicine ER -