| 熊桃,李阳,崔丽君,刘小芳,陈久容,余挺,李奉玲,魏雪梅,隆洪木.功能性近红外光谱应用于脑认知领域的可视化分析[J].中国康复,2024,39(1):46-51 |
| 功能性近红外光谱应用于脑认知领域的可视化分析 |
| Visual analysis of brain cognition by functional near-infrared spectroscopy |
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| DOI： |
| 中文关键词: 功能性近红外光谱 认知功能 认知评估 神经机制 文献计量学 |
| 英文关键词: functional near-infrared spectroscopy cognitive function cognitive assessment neural mechanisms bibliometrics |
| 基金项目:四川省社会科学研究“十三五”规划课题2019年度课题（SC19B032）；重庆市自然科学基金面上项目（cstc2019jcyj-msxmX0659） |
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| 中文摘要: |
| 目的：对功能性近红外光谱技术应用于脑认知相关研究的现状、热点及前沿行可视化分析。方法：检索Web of Science（WOS）数据库2012年1月1日～2022年12月31日功能性近红外光谱技术应用于脑认知研究的文献，使用CiteSpace 5.7软件进行可视化分析。结果：最终纳入文献1685篇，文献年发表量呈增长趋势。Ann-Christine Ehlis是发文最多的作者（36篇），美国是发文量最多的国家（480篇），德国图宾根大学是发文量最多的机构（47篇），发文机构间合作较密切。研究热点集中于认知障碍及儿童脑发育障碍等认知疾病的神经机制研究、认知水平测量及认知疾病治疗评价等方面。结论：功能性近红外光谱技术在脑认知领域的应用处于发展阶段，国内机构应继续强化合作，近年研究开始结合多模态检测数据，研究者可进一步将多模态大数据结合人工智能建立各类认知疾病的认知评估、疗效评价等模型，实现脑认知疾病的客观化精准医疗。 |
| 英文摘要: |
| Objective: To visualize the status, hotspots and frontiers of functional near-infrared spectroscopy in brain cognition-related research. Methods: The Web of Science (WOS) database was searched from January 1, 2012 to December 31, 2022 for the application of functional near-infrared spectroscopy to brain cognitive research, and CiteSpace 5.7 software was used for visual analysis. Results: A total of 1685 articles were included, and the annual publication trend showed an increasing trend. Ann-Christine Ehlis published the most articles (36), America is the country with the most articles (480), University of Tubingen in Germany is the institution with the most publications (47), and the inter-agency cooperation is close. The research focuses on the neural mechanism of cognitive diseases such as cognitive impairment and childhood brain development disorders, cognitive level measurement and treatment evaluation of cognitive diseases. Conclusion: The application of functional near-infrared spectroscopy in the field of brain cognition is in the development stage, and domestic institutions should continue to strengthen cooperation. In recent years research began to combine multimodal detection data, and researchers can further combine multimodal big data with artificial intelligence to establish cognitive assessment, efficacy evaluation and other models of various cognitive diseases, to achieve objective precision medicine of brain cognitive diseases. |
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