Visual analysis of music therapy for post-stroke depression based on CiteSpace
LIANG Fengjiao1 ZHOU Xia2 WANG Lei1 WANG Xiangyu1 ZHANG Jiale1
1.The First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Shandong Province, Jinan 250013, China;
2.Department of Rehabilitation Medicine, the Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Shandong Province, Jinan 250001, China
Abstract：Objective To visual analysis of music therapy for post-stroke depression based on CiteSpace. Methods Based on the search terms “stroke”, “depression”, and “music”, the relevant literature on the use of music therapy in the treatment of post-stroke depression was searched from January 2001 to October 2022 in CNKI, WIP, Wanfang Data, and Web of Science. Using CiteSpace software, the author, institution, country, and key words of the included literature were analyzed by visual knowledge graph. Results The study included 180 Chinese literatures and five foreign literatures; a total of 213 domestic authors and 38 international authors were involved; a total of 146 institutions were involved in the study; the study involved six countries; 161 keywords were included in Chinese literatures, and 12 cluster labels were obtained by keyword clustering analysis. Conclusion The clinical research of music therapy for post-stroke depression mainly focuses on the exploration of different music therapy schemes, and the effective application of music therapy in the rehabilitation of patients with post-stroke depression. Nowadays, the research focus and frontier is mainly five-tone therapy, which mainly focuses on the angle modulation in the five-tone.
梁凤娇1 周霞2 王磊1 王祥煜1 张佳乐1. 基于CiteSpace音乐治疗卒中后抑郁的可视化分析[J]. 中国医药导报, 2023, 20(20): 29-33,47.
LIANG Fengjiao1 ZHOU Xia2 WANG Lei1 WANG Xiangyu1 ZHANG Jiale1. Visual analysis of music therapy for post-stroke depression based on CiteSpace. 中国医药导报, 2023, 20(20): 29-33,47.
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