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REVIEW article
Front. Neurosci.
Sec. Brain Imaging Methods
Volume 18 - 2024 |
doi: 10.3389/fnins.2024.1479793
This article is part of the Research Topic Emerging Artificial intelligence Technologies for Neurological and Neuropsychiatric Research View all 3 articles
Objective Assessment of Cognitive Fatigue: A Bibliometric Analysis
Provisionally accepted- Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi Province, China
The objective of this study was to gain insight into the nature of cognitive fatigue and to identify future trends of objective assessment techniques in this field.One thousand and eighty-five articles were retrieved from the Web of Science Core Collection database. R version 4.3.1, VOSviewer 1.6.20, CiteSpace 6.2.R4, and Microsoft Excel 2019 were used to perform the analysis.Results: A total of 704 institutes from 56 countries participated in the relevant research, while the People's Republic of China contributed 126 articles and was the leading country. The most productive institute was the University of Gothenburg. Johansson Birgitta from the University of Gothenburg has posted the most articles (n=13). The PLOS ONE published most papers (n=38). The Neurosciences covered the most citations (n=1094). A total of 3116 keywords were extracted and those with high frequency were mental fatigue, performance, quality-of-life, etc. Keywords mapping analysis indicated that cognitive fatigue caused by continuous work and traumatic brain injury, as well as its rehabilitation, have become the current research trend. The most co-cited literature was published in Sports Medicine. The strongest citation burst was related to electroencephalogram (EEG) event-related potential and spectral power analysis.Conclusions: Publication information of related literature on the objective assessment of cognitive fatigue from 2007 to 2024 was summarized, including country and institute of origin, authors, and published journal, offering the current hotspots and novel directions in this field.
Keywords: Cognitive fatigue1, Mental fatigue2, assessment3, detection4, Bibliometric analysis5, Citation analysis6
Received: 12 Aug 2024; Accepted: 18 Oct 2024.
Copyright: © 2024 Han, Bai, Zhang, Liu, Yang, Shang, Song, Su, Hao, Feng, Li and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Jia-Cheng Han, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi Province, China
Ke Bai, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi Province, China
Chi Zhang, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi Province, China
Yu-Xuan Shang, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi Province, China
Jia-Jie Song, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi Province, China
Dan Su, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi Province, China
Yan Hao, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi Province, China
Xiu-Long Feng, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi Province, China
Si-Rui Li, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi Province, China
Wen Wang, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi Province, China
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