{"title":"社交焦虑神经影像学研究热点与趋势——基于Web of Science和Scopus数据库的CiteSpace文献计量分析","authors":"Peng Zhang, Jianing Zhang, Mingliang Wang, Shuyuan Feng, Yuqing Yuan, Lin Ding","doi":"10.3389/fnbeh.2024.1448412","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>This study focused on the research hotspots and development trends of the neuroimaging of social anxiety (SA) in the past 25 years.</p><p><strong>Methods: </strong>We selected 1,305 studies on SA neuroimaging from the Web of Science and Scopus from January 1998 to December 2023. CiteSpace was used to analyze the number of published articles visually, cited references, cooperation among authors and institutions, co-occurrence of keywords, clustering of keywords, burst of keywords, and time zone of co-occurring keywords.</p><p><strong>Results: </strong>A total of 1,305 articles were included, and the annual number of articles published over nearly 25 years showed the overall trend is on the rise. The analysis of author and institutional collaboration reveals that most authors collaborate closely. Among them, the team led by Pine, Daniel S published 59 articles, making it the most central team. Harvard University is identified as the most central institution in this network. The research hotspots can be categorized into four areas: research techniques, cognitive processing research areas, core brain regions and brain networks, and the neural predictors of treatment outcomes in SA. The most recent burst keywords are \"cognitive behavioral therapy,\" \"systematic review,\" \"machine learning,\" \"major clinical study,\" \"transcranial direct current stimulation,\" \"depression,\" and \"outcome assessment,\" which provided clues on research frontiers. Based on the burst map and keyword time zone map, it appears that exploring the activity of brain regions involved in cognitive processing, such as face processing and attentional bias, as well as the comorbidity of SA and depression, through brain imaging technology, using brain signals as predictors of treatment outcomes in SA.</p><p><strong>Conclusion: </strong>This study conducted a comprehensive, objective, and visual analysis of publications, and revealed hot topics and trends concerning the study of the brain mechanism of SA from 1998 to 2023. This work might assist researchers in identifying new insights on potential collaborators and institutions, hot topics, and research directions.</p>","PeriodicalId":12368,"journal":{"name":"Frontiers in Behavioral Neuroscience","volume":"18 ","pages":"1448412"},"PeriodicalIF":2.6000,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11659959/pdf/","citationCount":"0","resultStr":"{\"title\":\"Research hotspots and trends of neuroimaging in social anxiety: a CiteSpace bibliometric analysis based on Web of Science and Scopus database.\",\"authors\":\"Peng Zhang, Jianing Zhang, Mingliang Wang, Shuyuan Feng, Yuqing Yuan, Lin Ding\",\"doi\":\"10.3389/fnbeh.2024.1448412\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>This study focused on the research hotspots and development trends of the neuroimaging of social anxiety (SA) in the past 25 years.</p><p><strong>Methods: </strong>We selected 1,305 studies on SA neuroimaging from the Web of Science and Scopus from January 1998 to December 2023. CiteSpace was used to analyze the number of published articles visually, cited references, cooperation among authors and institutions, co-occurrence of keywords, clustering of keywords, burst of keywords, and time zone of co-occurring keywords.</p><p><strong>Results: </strong>A total of 1,305 articles were included, and the annual number of articles published over nearly 25 years showed the overall trend is on the rise. The analysis of author and institutional collaboration reveals that most authors collaborate closely. Among them, the team led by Pine, Daniel S published 59 articles, making it the most central team. Harvard University is identified as the most central institution in this network. The research hotspots can be categorized into four areas: research techniques, cognitive processing research areas, core brain regions and brain networks, and the neural predictors of treatment outcomes in SA. 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引用次数: 0
摘要
背景:本研究重点分析了近25年来社交焦虑(social anxiety, SA)神经影像学的研究热点和发展趋势。方法:从Web of Science和Scopus检索1998年1月至2023年12月的1305篇SA神经影像学研究。使用CiteSpace可视化分析已发表文章数量、被引参考文献、作者与机构合作情况、关键词共现、关键词聚类、关键词爆发、共现关键词所在时区。结果:共纳入1305篇文章,近25年的年发表数总体呈上升趋势。对作者与机构合作的分析表明,大多数作者合作密切。其中,由Pine, Daniel S领导的团队发表了59篇文章,是最核心的团队。哈佛大学被认为是这个网络中最核心的机构。研究热点可分为四个方面:研究技术、认知加工研究领域、脑核心区域和脑网络、SA治疗结果的神经预测因子。最近爆发的关键词是“认知行为疗法”、“系统评价”、“机器学习”、“主要临床研究”、“经颅直流电刺激”、“抑郁症”和“结果评估”,为研究前沿提供了线索。基于突发图和关键词时区图,似乎可以通过脑成像技术探索涉及认知加工的大脑区域的活动,如面部加工和注意偏倚,以及SA和抑郁症的共病,利用脑信号作为SA治疗结果的预测因子。结论:本研究全面、客观、直观地分析了1998 - 2023年间SA脑机制研究的热点和趋势。这项工作可能有助于研究人员在潜在的合作者和机构、热点话题和研究方向上找到新的见解。
Research hotspots and trends of neuroimaging in social anxiety: a CiteSpace bibliometric analysis based on Web of Science and Scopus database.
Background: This study focused on the research hotspots and development trends of the neuroimaging of social anxiety (SA) in the past 25 years.
Methods: We selected 1,305 studies on SA neuroimaging from the Web of Science and Scopus from January 1998 to December 2023. CiteSpace was used to analyze the number of published articles visually, cited references, cooperation among authors and institutions, co-occurrence of keywords, clustering of keywords, burst of keywords, and time zone of co-occurring keywords.
Results: A total of 1,305 articles were included, and the annual number of articles published over nearly 25 years showed the overall trend is on the rise. The analysis of author and institutional collaboration reveals that most authors collaborate closely. Among them, the team led by Pine, Daniel S published 59 articles, making it the most central team. Harvard University is identified as the most central institution in this network. The research hotspots can be categorized into four areas: research techniques, cognitive processing research areas, core brain regions and brain networks, and the neural predictors of treatment outcomes in SA. The most recent burst keywords are "cognitive behavioral therapy," "systematic review," "machine learning," "major clinical study," "transcranial direct current stimulation," "depression," and "outcome assessment," which provided clues on research frontiers. Based on the burst map and keyword time zone map, it appears that exploring the activity of brain regions involved in cognitive processing, such as face processing and attentional bias, as well as the comorbidity of SA and depression, through brain imaging technology, using brain signals as predictors of treatment outcomes in SA.
Conclusion: This study conducted a comprehensive, objective, and visual analysis of publications, and revealed hot topics and trends concerning the study of the brain mechanism of SA from 1998 to 2023. This work might assist researchers in identifying new insights on potential collaborators and institutions, hot topics, and research directions.
期刊介绍:
Frontiers in Behavioral Neuroscience is a leading journal in its field, publishing rigorously peer-reviewed research that advances our understanding of the neural mechanisms underlying behavior. Field Chief Editor Nuno Sousa at the Instituto de Pesquisa em Ciências da Vida e da Saúde (ICVS) is supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide.
This journal publishes major insights into the neural mechanisms of animal and human behavior, and welcomes articles studying the interplay between behavior and its neurobiological basis at all levels: from molecular biology and genetics, to morphological, biochemical, neurochemical, electrophysiological, neuroendocrine, pharmacological, and neuroimaging studies.