基于数据挖掘技术探讨针刺治疗脑瘫认知功能障碍的选穴规律

Analysis of the Selection Law of Acupuncture Points for Treating Cognitive Dysfunction in Cerebral Palsy Based on Data Mining Technology

摘要: 目的：基于数据挖掘技术，探讨针刺治疗脑瘫认知功能障碍的选穴规律。方法：计算机检索CNKI、CBM、Wanfang Data、VIP、Web of Science、PubMed、Embase和Cochrane Library数据库建库至2025年2月10日收录的针刺治疗脑瘫认知功能障碍的临床研究类文献。使用Microsoft Excel 2019建立针刺处方、腧穴数据库，使用“古今医案云平台”进行穴位使用频次统计分析和聚类分析，使用IBM SPSS Modeler 18.0进行穴位关联分析并制作高频穴位复杂网络图。结果：共纳入相关文献107篇，提取107则处方，含138个穴位，穴位总频次为1054次。其中神庭使用频次最高，重视使用督脉、足少阳胆经及足太阳膀胱经，特定穴多用交会穴、五输穴及背俞穴，多选用头面部穴位；关联分析显示“神庭–本神”、“百会–四神聪”穴对关联性高；聚类分析得到6个有效聚类群。结论：针刺治疗脑瘫认知功能障碍选穴遵循通督调神、疏胆利窍、升阳益智的总治则和远近配穴的取穴原则，核心穴位组合为“本神、神庭、百会、四神针、颞三针”。

Abstract: Objective: To analyze the selection rules of acupuncture points for the treatment of cognitive dysfunction in cerebral palsy through data mining techniques. Methods: Computerized searches were conducted in the CNKI, CBM, Wanfang Data, VIP, PubMed, Web of Science, Embase, and Cochrane Library for clinical research literature on acupuncture treatment of cognitive dysfunction in cerebral palsy from the establishment of the databases to February 10, 2025. Microsoft Excel 2019 was used to establish a database of acupuncture prescriptions and acupoints, the “Ancient and Modern Medical Case Cloud Platform” was used to perform statistical analysis of the frequency of acupuncture points and cluster analysis, and IBM SPSS Modeler 18.0 was used to perform association analysis of acupoints and create a complex network diagram of high-frequency acupoints. Results: A total of 107 articles were included in the relevant literature, and 107 prescriptions were extracted, containing 138 acupoints, with a total frequency of 1054 acupoints. Among them, “Shenting” is used most frequently, with emphasis on the Governor Vessel, the Gallbladder Meridian, and the Bladder Meridian. Specific points mostly use the intersection points, the Five-Shu points, and the Back-Shu points, and more head and face points are selected. The correlation analysis shows that the pairs of “Shenting-Benshen” and “Baihui-Sishencong” have a high correlation. Cluster analysis yields six effective clusters. Conclusion: The selection of acupoints for acupuncture treatment of cognitive dysfunction in cerebral palsy follows the general treatment principle of regulating the Governor Vessel and the spirit, soothing the Gallbladder Meridian and opening the orifices, and lifting Yang and enhancing intelligence, as well as the acupoint selection principle of combining distant and proximal points. The core combination of acupoints is “Benshen, Shenting, Baihui, Sishenzhen, and Temporal Three-Needles”.