中国康复理论与实践2024,Vol.30Issue(6):693-700,8.DOI:10.3969/j.issn.1006-9771.2024.06.009
近10年脑电图应用于孤独症谱系障碍领域研究的文献计量分析
Electroencephalography applied in autism spectrum disorder research in decade:a bibliometrics analysis
摘要
Abstract
Objective To analyze the current state,research hotspots,and development trends of electroencephalography(EEG)applied in the field of autism spectrum disorder(ASD). Methods Relevant literature from the Web of Science core collection database from January,2014 to January,2024 were retrieved and analyzed using CiteSpace 6.2.R4. Results A total of 1 509 articles were included,with an increasing trend in publication volume over the years.The United States ranked highest in both publication volume and node centrality.The primary journals in this field were concentrated in clinical medicine,immunology and psychology.Keyword co-occurrence and clustering indicated that research primarily focused on the correlation between core symptoms of ASD and EEG indicators,differential diagnosis of ASD and its comorbidities,brain functional connectivity,and assessment of rehabilitation efficacy.Keywords bursted in the past three years mainly included artificial intelligence and machine learning. Conclusion The researches in EEG technology in the field of ASD is generally increasing.Future researches may focus on exploring the brain network mechanisms of ASD using EEG combined with multimodal neuroimaging,and machine learning technologies.关键词
孤独症谱系障碍/脑电图/文献计量学Key words
autism spectrum disorder/electroencephalography/bibliometrics分类
医药卫生引用本文复制引用
张哲,董献文,徐成铭,胡文静,贺婷丽,崔鑫鑫,徐红艳,周章盈,韩雅男..近10年脑电图应用于孤独症谱系障碍领域研究的文献计量分析[J].中国康复理论与实践,2024,30(6):693-700,8.基金项目
1.河南省卫健委省部共建重点项目(No.SBGJ202002123) (No.SBGJ202002123)
2.河南省高等学校重点科研项目(No.21A320058) Supported by Key Project of Henan Provincial Health Commission(No.SBGJ202002123)and Key Research Project of Higher Education Institutions in Henan Province(No.21A320058) (No.21A320058)