Abstract：Objective To analyze the general character of acupuncture points for post-stroke depression by using data mining technology. Methods Chinese keywords were (“acupuncture and moxibustion” or “acupuncture” or “filiform acupuncture” or “electroacupuncture”) and (“stroke” or “apoplexia”) and (“depression” or “depression disease” or “depression syndrome” or “melancholy”). English subject words were MESH words (“acupunture” or “electronic acupunture”) and “post-stroke expression”, which were used to retrieve the literatures published by CNKI, VIP, Wanfang, China biomedical literature database, PubMed as of July 2018 on acupuncture treatment of post-stroke depression. The database was established, SPSS Modeler 18.0 was used for modeling, association rules were analyzed, and Gephi 0.9.1 was used for complex network analysis. Results 647 prescriptions of acupuncture and moxibustion were extracted from 2145 literatures. The main methods of acupoint matching were the method of distance and proximity (484 prescriptions), the method of secondary acupoint matching and the method of lower acupoint matching (522 prescriptions). The top 10 single acupoints were Baihui, Neiguan, Taichong, Sanyinjiao, Sishencong, Yintang, Shenmen, Shenting, Hegu and Zusanli, among which, the head acupoints were the most frequently used and selected, when the support degree was ≥ 30% and the confidence degree was ≥ 75%, Baihui + Yintang was the first acupoint combination. Conclusion With the core of governor meridians, it follows the principles of local acupoint selection, up and down acupoint selection and syndrome differentiation of viscera, with the core idea of adjust mind, we select Baihui, Sishengcong, Yintang, Neiguan, Taichong, Sanyinjiao, Shenting as the core acupoint prescriptions of acupuncture therapy for post-stroke depression.
王雪 杨栋婷 刘文娜 张静莎▲ 耿连岐. 基于复杂网络分析的针刺治疗脑卒中后抑郁的俞穴配伍规律研究[J]. 中国医药导报, 2019, 16(33): 111-115.
WANG Xue YANG Dongting LIU Wenna ZHANG Jingsha▲ GENG Lianqi. Study on the general character of acupuncture points for post-stroke depression based on complex network analysis. 中国医药导报, 2019, 16(33): 111-115.
2019, Vol. 16 
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