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结合fMRI-fNIR技术在大脑功能研究中的应用和进展

Lirui Yang^1,2,3,4, Zehua Wang^1,2,3,4,5

¹Key Laboratory of Biomechanics and Mechanobiology, Beihang University, Ministry of Education, Beijing, China.

Frontiers in neurology

|April 2, 2025

概括

整合功能磁共振成像 (fMRI) 和功能近红外光谱 (fNIRs) 提供了增强的大脑活动映射. 这种多模式的方法克服了局限性,推进了神经科学和临床应用.

科学领域:

神经科学是一个神经科学.
医疗成像医学成像
生物医学工程生物医学工程

背景情况:

人类大脑功能研究需要先进的神经成像技术.
整合fMRI和fNIR等互补方法提供了协同作用的潜力.
对63项研究进行了系统审查,以分析fMRI-fNIRs集成.

研究的目的:

系统地审查fMRI和fNIR在大脑研究中的整合.
探索这种多式联络方法的方法论进步,应用和挑战.
为了确定优化fMRI-fNIRs集成的未来方向.

主要方法:

使用fMRI,fNIR和多式成像的研究的综合文献综述.
分析实验范式,数据处理技术和集成模式 (同步/异步).
在神经科学和临床环境中应用的分类.

主要成果:

方法协同:fMRI的空间分辨率与fNIR的时间分辨率相结合,可以实现强大的时空映射.
应用:整合促进了神经疾病,社会认知和神经可塑性的研究,超扫描使得自然主义研究成为可能.
挑战:硬件不兼容,实验限制和数据融合复杂性阻碍了采用.

结论:

fMRI-fNIRs的整合弥合了神经成像中的空间和时间差距.
这种多式联络方式增强了诊断和治疗策略.
未来的创新需要硬件改进和机器学习驱动的数据集成,以便更深入地了解大脑.

关键词:

大脑功能大脑功能大脑功能临床应用临床应用认知神经科学认知神经科学功能磁力共振成像 (fMRI) 是一种在FNIR中,FNIR是FNIR.多式神经成像多式神经成像

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