Abstract
Visual analysis of brain cognition by functional near-infrared spectroscopy
  
DOI:
EN KeyWords: functional near-infrared spectroscopy  cognitive function  cognitive assessment  neural mechanisms  bibliometrics
Fund Project: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)
作者单位
熊桃 重庆大学附属涪陵医院重庆 640800 
李阳 重庆大学附属涪陵医院重庆 640800 
崔丽君 重庆大学附属涪陵医院重庆 640800 
刘小芳 重庆大学附属涪陵医院重庆 640800 
陈久容 重庆大学附属涪陵医院重庆 640800 
余挺 重庆大学附属涪陵医院重庆 640800 
李奉玲 重庆大学附属涪陵医院重庆 640800 
魏雪梅 重庆大学附属涪陵医院重庆 640800 
隆洪木 重庆大学附属涪陵医院重庆 640800 
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EN Abstract:
  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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