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...

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Main Authors: Shun Yao, Jieying Zhu, Shuiyan Li, Ruibin Zhang, Jiubo Zhao, Xueling Yang, You Wang
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
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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.
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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
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