Electroencephalography applied in autism spectrum disorder research in decade: a bibliometrics analysis
10.3969/j.issn.1006-9771.2024.06.009
- VernacularTitle: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
- Author:
Zhe ZHANG
1
;
Xianwen DONG
1
;
Chengming XU
1
;
Wenjing HU
1
;
Tingli HE
1
;
Xinxin CUI
1
;
Hongyan XU
1
;
Zhangying ZHOU
1
;
Ya'nan HAN
1
Author Information
1. The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, China
- Publication Type:Journal Article
- Keywords:
autism spectrum disorder;
electroencephalography;
bibliometrics
- From:
Chinese Journal of Rehabilitation Theory and Practice
2024;30(6):693-700
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveTo analyze the current state, research hotspots, and development trends of electroencephalography (EEG) applied in the field of autism spectrum disorder (ASD). MethodsRelevant literature from the Web of Science core collection database from January, 2014 to January, 2024 were retrieved and analyzed using CiteSpace 6.2.R4. ResultsA 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. ConclusionThe 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.
