Bibliometric Analysis of Quantitative Electroencephalogram Research in Neuropsychiatric Disorders From 2000 to 2021
BackgroundWith the development of quantitative electroencephalography (QEEG), an increasing number of studies have been published on the clinical use of QEEG in the past two decades, particularly in the diagnosis, treatment, and prognosis of neuropsychiatric disorders. However, to date, the current...
Main Authors: | , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-05-01
|
Series: | Frontiers in Psychiatry |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyt.2022.830819/full |
_version_ | 1818186719310118912 |
---|---|
author | Shun Yao Shun Yao Jieying Zhu Shuiyan Li Ruibin Zhang Jiubo Zhao Jiubo Zhao Xueling Yang Xueling Yang You Wang You Wang |
author_facet | Shun Yao Shun Yao Jieying Zhu Shuiyan Li Ruibin Zhang Jiubo Zhao Jiubo Zhao Xueling Yang Xueling Yang You Wang You Wang |
author_sort | Shun Yao |
collection | DOAJ |
description | BackgroundWith the development of quantitative electroencephalography (QEEG), an increasing number of studies have been published on the clinical use of QEEG in the past two decades, particularly in the diagnosis, treatment, and prognosis of neuropsychiatric disorders. However, to date, the current status and developing trends of this research field have not been systematically analyzed from a macroscopic perspective. The present study aimed to identify the hot spots, knowledge base, and frontiers of QEEG research in neuropsychiatric disorders from 2000 to 2021 through bibliometric analysis.MethodsQEEG-related publications in the neuropsychiatric field from 2000 to 2021 were retrieved from the Web of Science Core Collection (WOSCC). CiteSpace and VOSviewer software programs, and the online literature analysis platform (bibliometric.com) were employed to perform bibliographic and visualized analysis.ResultsA total of 1,904 publications between 2000 and 2021 were retrieved. The number of QEEG-related publications in neuropsychiatric disorders increased steadily from 2000 to 2021, and research in psychiatric disorders requires more attention in comparison to research in neurological disorders. During the last two decades, QEEG has been mainly applied in neurodegenerative diseases, cerebrovascular diseases, and mental disorders to reveal the pathological mechanisms, assist clinical diagnosis, and promote the selection of effective treatments. The recent hot topics focused on QEEG utilization in neurodegenerative disorders like Alzheimer's and Parkinson's disease, traumatic brain injury and related cerebrovascular diseases, epilepsy and seizure, attention-deficit hyperactivity disorder, and other mental disorders like major depressive disorder and schizophrenia. In addition, studies to cross-validate QEEG biomarkers, develop new biomarkers (e.g., functional connectivity and complexity), and extract compound biomarkers by machine learning were the emerging trends.ConclusionThe present study integrated bibliometric information on the current status, the knowledge base, and future directions of QEEG studies in neuropsychiatric disorders from a macroscopic perspective. It may provide valuable insights for researchers focusing on the utilization of QEEG in this field. |
first_indexed | 2024-12-11T22:59:36Z |
format | Article |
id | doaj.art-4d7cb2bfff5e4cebba2610beba7a1ad3 |
institution | Directory Open Access Journal |
issn | 1664-0640 |
language | English |
last_indexed | 2024-12-11T22:59:36Z |
publishDate | 2022-05-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Psychiatry |
spelling | doaj.art-4d7cb2bfff5e4cebba2610beba7a1ad32022-12-22T00:47:06ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402022-05-011310.3389/fpsyt.2022.830819830819Bibliometric Analysis of Quantitative Electroencephalogram Research in Neuropsychiatric Disorders From 2000 to 2021Shun Yao0Shun Yao1Jieying Zhu2Shuiyan Li3Ruibin Zhang4Jiubo Zhao5Jiubo Zhao6Xueling Yang7Xueling Yang8You Wang9You Wang10Department of Psychology, School of Public Health, Southern Medical University, Guangzhou, ChinaDepartment of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, ChinaDepartment of Psychology, School of Public Health, Southern Medical University, Guangzhou, ChinaDepartment of Rehabilitation Medicine, School of Rehabilitation Medicine, Southern Medical University, Guangzhou, ChinaDepartment of Psychology, School of Public Health, Southern Medical University, Guangzhou, ChinaDepartment of Psychology, School of Public Health, Southern Medical University, Guangzhou, ChinaDepartment of Psychiatry, Zhujiang Hospital, Southern Medical University, Guangzhou, ChinaDepartment of Psychology, School of Public Health, Southern Medical University, Guangzhou, ChinaDepartment of Psychiatry, Zhujiang Hospital, Southern Medical University, Guangzhou, ChinaDepartment of Psychology, School of Public Health, Southern Medical University, Guangzhou, ChinaDepartment of Psychiatry, Zhujiang Hospital, Southern Medical University, Guangzhou, ChinaBackgroundWith the development of quantitative electroencephalography (QEEG), an increasing number of studies have been published on the clinical use of QEEG in the past two decades, particularly in the diagnosis, treatment, and prognosis of neuropsychiatric disorders. However, to date, the current status and developing trends of this research field have not been systematically analyzed from a macroscopic perspective. The present study aimed to identify the hot spots, knowledge base, and frontiers of QEEG research in neuropsychiatric disorders from 2000 to 2021 through bibliometric analysis.MethodsQEEG-related publications in the neuropsychiatric field from 2000 to 2021 were retrieved from the Web of Science Core Collection (WOSCC). CiteSpace and VOSviewer software programs, and the online literature analysis platform (bibliometric.com) were employed to perform bibliographic and visualized analysis.ResultsA total of 1,904 publications between 2000 and 2021 were retrieved. The number of QEEG-related publications in neuropsychiatric disorders increased steadily from 2000 to 2021, and research in psychiatric disorders requires more attention in comparison to research in neurological disorders. During the last two decades, QEEG has been mainly applied in neurodegenerative diseases, cerebrovascular diseases, and mental disorders to reveal the pathological mechanisms, assist clinical diagnosis, and promote the selection of effective treatments. The recent hot topics focused on QEEG utilization in neurodegenerative disorders like Alzheimer's and Parkinson's disease, traumatic brain injury and related cerebrovascular diseases, epilepsy and seizure, attention-deficit hyperactivity disorder, and other mental disorders like major depressive disorder and schizophrenia. In addition, studies to cross-validate QEEG biomarkers, develop new biomarkers (e.g., functional connectivity and complexity), and extract compound biomarkers by machine learning were the emerging trends.ConclusionThe present study integrated bibliometric information on the current status, the knowledge base, and future directions of QEEG studies in neuropsychiatric disorders from a macroscopic perspective. It may provide valuable insights for researchers focusing on the utilization of QEEG in this field.https://www.frontiersin.org/articles/10.3389/fpsyt.2022.830819/fullbibliometricsquantitative electroencephalogramneuropsychiatric disordersCiteSpaceVOSviewer |
spellingShingle | Shun Yao Shun Yao Jieying Zhu Shuiyan Li Ruibin Zhang Jiubo Zhao Jiubo Zhao Xueling Yang Xueling Yang You Wang You Wang Bibliometric Analysis of Quantitative Electroencephalogram Research in Neuropsychiatric Disorders From 2000 to 2021 Frontiers in Psychiatry bibliometrics quantitative electroencephalogram neuropsychiatric disorders CiteSpace VOSviewer |
title | Bibliometric Analysis of Quantitative Electroencephalogram Research in Neuropsychiatric Disorders From 2000 to 2021 |
title_full | Bibliometric Analysis of Quantitative Electroencephalogram Research in Neuropsychiatric Disorders From 2000 to 2021 |
title_fullStr | Bibliometric Analysis of Quantitative Electroencephalogram Research in Neuropsychiatric Disorders From 2000 to 2021 |
title_full_unstemmed | Bibliometric Analysis of Quantitative Electroencephalogram Research in Neuropsychiatric Disorders From 2000 to 2021 |
title_short | Bibliometric Analysis of Quantitative Electroencephalogram Research in Neuropsychiatric Disorders From 2000 to 2021 |
title_sort | bibliometric analysis of quantitative electroencephalogram research in neuropsychiatric disorders from 2000 to 2021 |
topic | bibliometrics quantitative electroencephalogram neuropsychiatric disorders CiteSpace VOSviewer |
url | https://www.frontiersin.org/articles/10.3389/fpsyt.2022.830819/full |
work_keys_str_mv | AT shunyao bibliometricanalysisofquantitativeelectroencephalogramresearchinneuropsychiatricdisordersfrom2000to2021 AT shunyao bibliometricanalysisofquantitativeelectroencephalogramresearchinneuropsychiatricdisordersfrom2000to2021 AT jieyingzhu bibliometricanalysisofquantitativeelectroencephalogramresearchinneuropsychiatricdisordersfrom2000to2021 AT shuiyanli bibliometricanalysisofquantitativeelectroencephalogramresearchinneuropsychiatricdisordersfrom2000to2021 AT ruibinzhang bibliometricanalysisofquantitativeelectroencephalogramresearchinneuropsychiatricdisordersfrom2000to2021 AT jiubozhao bibliometricanalysisofquantitativeelectroencephalogramresearchinneuropsychiatricdisordersfrom2000to2021 AT jiubozhao bibliometricanalysisofquantitativeelectroencephalogramresearchinneuropsychiatricdisordersfrom2000to2021 AT xuelingyang bibliometricanalysisofquantitativeelectroencephalogramresearchinneuropsychiatricdisordersfrom2000to2021 AT xuelingyang bibliometricanalysisofquantitativeelectroencephalogramresearchinneuropsychiatricdisordersfrom2000to2021 AT youwang bibliometricanalysisofquantitativeelectroencephalogramresearchinneuropsychiatricdisordersfrom2000to2021 AT youwang bibliometricanalysisofquantitativeelectroencephalogramresearchinneuropsychiatricdisordersfrom2000to2021 |