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Systematic bibliometric and visualized analysis of research hotspots and trends in obstructive sleep apnea neuroimaging.

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Title: Systematic bibliometric and visualized analysis of research hotspots and trends in obstructive sleep apnea neuroimaging.
Authors: Wen, Bing (AUTHOR), Li, Haijun (AUTHOR), Liu, Xiang (AUTHOR), Shu, Yongqiang (AUTHOR), Shen, Dan (AUTHOR), Bu, Xinyi (AUTHOR), Peng, Dechang (AUTHOR), Liu, Yuting (AUTHOR), Li, Lifeng (AUTHOR)
Source: Behavioral Sleep Medicine. May/Jun2025, Vol. 23 Issue 3, p414-435. 22p.
Subjects: Diffusion tensor imaging, Nuclear magnetic resonance spectroscopy, Sleep apnea syndromes, Bibliometrics, Functional magnetic resonance imaging
Abstract: Background: Obstructive sleep apnea (OSA) patients exhibit neurological symptoms, driving research in sleep medicine and clinical neurology. Neurologists and radiologists explore detection methods to identify unique neural features associated with OSA in the atypical nervous system. Neuroimaging research in OSA encompasses studying the structural, functional connectivity (FC), and neurometabolic aspects of the brain. Limited resources and OSA's heterogeneity pose challenges to effective neuroimaging research. This study aims to conduct a bibliometric analysis of OSA neuroimaging research to identify key trends and emerging themes. Methods: This research utilizes various techniques, including functional MRI, structural MRI, diffusion tensor imaging, magnetic resonance spectroscopy, and electroencephalography, among others. Publications from 1993 to 2023 were retrieved from Web of Science on neuroimaging. Analysis tools included Bibliometric.com, CiteSpace, VOSviewer, and R4.3.2. Results: A total of 714 papers were published in 47 countries, with 651 articles, 55 reviews, and 8 meeting abstracts. The USA led in publications, with the University of California System contributing most, primarily in "Sleep" journal. The study identified 2916 authors, with Macey PM having the highest publication count. Recent years highlighted burst keywords such as network, classification, sleep staging, FC, and brain activity. Analysis of keyword clusters revealed "electroencephalography" with the longest temporal duration. Conclusions: Neuroimaging in OSA research has gained increased attention. Incorporating behavioral sleep medicine insights could enhance understanding of OSA's impact on brain function and behavior. This study aims to assist researchers in identifying potential collaborators, institutions, and key themes, providing a comprehensive perspective on OSA neuroimaging research and related sleep disorders. [ABSTRACT FROM AUTHOR]
Copyright of Behavioral Sleep Medicine is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Systematic bibliometric and visualized analysis of research hotspots and trends in obstructive sleep apnea neuroimaging.
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  Data: <searchLink fieldCode="AR" term="%22Wen%2C+Bing%22">Wen, Bing</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Haijun%22">Li, Haijun</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Xiang%22">Liu, Xiang</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shu%2C+Yongqiang%22">Shu, Yongqiang</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shen%2C+Dan%22">Shen, Dan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bu%2C+Xinyi%22">Bu, Xinyi</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Peng%2C+Dechang%22">Peng, Dechang</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Yuting%22">Liu, Yuting</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Lifeng%22">Li, Lifeng</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Behavioral+Sleep+Medicine%22">Behavioral Sleep Medicine</searchLink>. May/Jun2025, Vol. 23 Issue 3, p414-435. 22p.
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  Data: <searchLink fieldCode="DE" term="%22Diffusion+tensor+imaging%22">Diffusion tensor imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Nuclear+magnetic+resonance+spectroscopy%22">Nuclear magnetic resonance spectroscopy</searchLink><br /><searchLink fieldCode="DE" term="%22Sleep+apnea+syndromes%22">Sleep apnea syndromes</searchLink><br /><searchLink fieldCode="DE" term="%22Bibliometrics%22">Bibliometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Functional+magnetic+resonance+imaging%22">Functional magnetic resonance imaging</searchLink>
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  Label: Abstract
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  Data: Background: Obstructive sleep apnea (OSA) patients exhibit neurological symptoms, driving research in sleep medicine and clinical neurology. Neurologists and radiologists explore detection methods to identify unique neural features associated with OSA in the atypical nervous system. Neuroimaging research in OSA encompasses studying the structural, functional connectivity (FC), and neurometabolic aspects of the brain. Limited resources and OSA's heterogeneity pose challenges to effective neuroimaging research. This study aims to conduct a bibliometric analysis of OSA neuroimaging research to identify key trends and emerging themes. Methods: This research utilizes various techniques, including functional MRI, structural MRI, diffusion tensor imaging, magnetic resonance spectroscopy, and electroencephalography, among others. Publications from 1993 to 2023 were retrieved from Web of Science on neuroimaging. Analysis tools included Bibliometric.com, CiteSpace, VOSviewer, and R4.3.2. Results: A total of 714 papers were published in 47 countries, with 651 articles, 55 reviews, and 8 meeting abstracts. The USA led in publications, with the University of California System contributing most, primarily in "Sleep" journal. The study identified 2916 authors, with Macey PM having the highest publication count. Recent years highlighted burst keywords such as network, classification, sleep staging, FC, and brain activity. Analysis of keyword clusters revealed "electroencephalography" with the longest temporal duration. Conclusions: Neuroimaging in OSA research has gained increased attention. Incorporating behavioral sleep medicine insights could enhance understanding of OSA's impact on brain function and behavior. This study aims to assist researchers in identifying potential collaborators, institutions, and key themes, providing a comprehensive perspective on OSA neuroimaging research and related sleep disorders. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Behavioral Sleep Medicine is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: May/Jun2025
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