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社交焦虑症神经影像学的研究热点与趋势:基于Web of Science和Scopus数据库的CiteSpace文献计量分析

Research hotspots and trends of neuroimaging in social anxiety: a CiteSpace bibliometric analysis based on Web of Science and Scopus database.

作者信息

Zhang Peng, Zhang Jianing, Wang Mingliang, Feng Shuyuan, Yuan Yuqing, Ding Lin

机构信息

Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin, China.

Faculty of Psychology, Tianjin Normal University, Tianjin, China.

出版信息

Front Behav Neurosci. 2024 Dec 5;18:1448412. doi: 10.3389/fnbeh.2024.1448412. eCollection 2024.

Abstract

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.

摘要

背景

本研究聚焦于过去25年社交焦虑(SA)神经影像学的研究热点及发展趋势。

方法

我们从1998年1月至2023年12月的科学网和Scopus中筛选出1305项关于SA神经影像学的研究。使用CiteSpace对发表文章数量、引用参考文献、作者与机构间合作、关键词共现、关键词聚类、关键词突现以及共现关键词的时区进行可视化分析。

结果

共纳入1305篇文章,近25年发表文章的年数量总体呈上升趋势。作者与机构合作分析显示,大多数作者合作紧密。其中,由丹尼尔·S·派恩领导的团队发表了59篇文章,是最核心的团队。哈佛大学被确定为该网络中最核心的机构。研究热点可分为四个领域:研究技术、认知加工研究领域、核心脑区和脑网络以及SA治疗结果的神经预测指标。最近的突现关键词为“认知行为疗法”“系统评价”“机器学习”“大型临床研究”“经颅直流电刺激”“抑郁症”和“结果评估”,这些为研究前沿提供了线索。基于突现图和关键词时区图,似乎是通过脑成像技术探索参与认知加工的脑区活动,如面部加工和注意偏向,以及SA与抑郁症的共病情况,将脑信号用作SA治疗结果的预测指标。

结论

本研究对出版物进行了全面、客观和可视化分析,揭示了1998年至2023年SA脑机制研究的热点话题和趋势。这项工作可能有助于研究人员识别关于潜在合作者和机构、热点话题及研究方向的新见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa1a/11659959/bc93316d379a/fnbeh-18-1448412-g001.jpg

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