Bing Wen, Haijun Li, Xiang Liu, Yongqiang Shu, Dan Shen, Xinyi Bu, Dechang Peng, Yuting Liu, Lifeng Li
{"title":"阻塞性睡眠呼吸暂停神经影像学研究热点与趋势的系统文献计量与可视化分析。","authors":"Bing Wen, Haijun Li, Xiang Liu, Yongqiang Shu, Dan Shen, Xinyi Bu, Dechang Peng, Yuting Liu, Lifeng Li","doi":"10.1080/15402002.2025.2479795","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":55393,"journal":{"name":"Behavioral Sleep Medicine","volume":" ","pages":"1-22"},"PeriodicalIF":2.2000,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Systematic bibliometric and visualized analysis of research hotspots and trends in obstructive sleep apnea neuroimaging.\",\"authors\":\"Bing Wen, Haijun Li, Xiang Liu, Yongqiang Shu, Dan Shen, Xinyi Bu, Dechang Peng, Yuting Liu, Lifeng Li\",\"doi\":\"10.1080/15402002.2025.2479795\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>\",\"PeriodicalId\":55393,\"journal\":{\"name\":\"Behavioral Sleep Medicine\",\"volume\":\" \",\"pages\":\"1-22\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2025-03-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Behavioral Sleep Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1080/15402002.2025.2479795\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Behavioral Sleep Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/15402002.2025.2479795","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
摘要
背景：阻塞性睡眠呼吸暂停（OSA）患者表现出神经系统症状，推动了睡眠医学和临床神经学的研究。神经科医生和放射科医生探索检测方法，以确定非典型神经系统中与OSA相关的独特神经特征。阻塞性睡眠呼吸暂停的神经影像学研究包括研究大脑的结构、功能连接（FC）和神经代谢方面。有限的资源和OSA的异质性给有效的神经影像学研究带来了挑战。本研究旨在对OSA神经影像学研究进行文献计量分析，以确定关键趋势和新兴主题。方法：本研究运用了多种技术，包括功能MRI、结构MRI、弥散张量成像、磁共振波谱、脑电图等。1993年至2023年的出版物检索自Web of Science on neuroimaging。分析工具包括Bibliometric.com、CiteSpace、VOSviewer和R4.3.2。结果：在47个国家共发表论文714篇，其中文章651篇，综述55篇，会议摘要8篇。美国在出版物方面领先，加州大学系统贡献最多，主要是在《睡眠》杂志上。该研究确定了2916位作者，其中macy PM的出版数量最高。近年来突出的突发关键词如网络、分类、睡眠分期、FC和大脑活动。关键词聚类分析显示，“脑电图”的时间持续时间最长。结论：神经影像学在OSA研究中的应用越来越受到重视。结合行为睡眠医学的见解可以加强对睡眠呼吸暂停综合症对大脑功能和行为的影响的理解。本研究旨在帮助研究人员确定潜在的合作者、机构和关键主题，为OSA神经影像学研究和相关睡眠障碍提供全面的视角。
Systematic bibliometric and visualized analysis of research hotspots and trends in obstructive sleep apnea neuroimaging.
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.
期刊介绍：
Behavioral Sleep Medicine addresses behavioral dimensions of normal and abnormal sleep mechanisms and the prevention, assessment, and treatment of sleep disorders and associated behavioral and emotional problems. Standards for interventions acceptable to this journal are guided by established principles of behavior change. Intending to serve as the intellectual home for the application of behavioral/cognitive science to the study of normal and disordered sleep, the journal paints a broad stroke across the behavioral sleep medicine landscape. Its content includes scholarly investigation of such areas as normal sleep experience, insomnia, the relation of daytime functioning to sleep, parasomnias, circadian rhythm disorders, treatment adherence, pediatrics, and geriatrics. Multidisciplinary approaches are particularly welcome. The journal’ domain encompasses human basic, applied, and clinical outcome research. Behavioral Sleep Medicine also embraces methodological diversity, spanning innovative case studies, quasi-experimentation, randomized trials, epidemiology, and critical reviews.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
