Phillips V Zephaniah, Canoy Raymart Jay, Paik Seung-Ho, Lee Seung Hyun, Kim Beop-Min
Global Health Technology Research Center, College of Health Science, Korea University, Seoul, Korea.
Program in Biomicro System Technology, College of Engineering, Korea University, Seoul, Korea.
J Clin Neurol. 2023 Mar;19(2):115-124. doi: 10.3988/jcn.2022.0406.
The sustained growth of digital healthcare in the field of neurology relies on portable and cost-effective brain monitoring tools that can accurately monitor brain function in real time. Functional near-infrared spectroscopy (fNIRS) is one such tool that has become popular among researchers and clinicians as a practical alternative to functional magnetic resonance imaging, and as a complementary tool to modalities such as electroencephalography. This review covers the contribution of fNIRS to the personalized goals of digital healthcare in neurology by identifying two major trends that drive current fNIRS research. The first major trend is multimodal monitoring using fNIRS, which allows clinicians to access more data that will help them to understand the interconnection between the cerebral hemodynamics and other physiological phenomena in patients. This allows clinicians to make an overall assessment of physical health to obtain a more-detailed and individualized diagnosis. The second major trend is that fNIRS research is being conducted with naturalistic experimental paradigms that involve multisensory stimulation in familiar settings. Cerebral monitoring of multisensory stimulation during dynamic activities or within virtual reality helps to understand the complex brain activities that occur in everyday life. Finally, the scope of future fNIRS studies is discussed to facilitate more-accurate assessments of brain activation and the wider clinical acceptance of fNIRS as a medical device for digital healthcare.
数字医疗在神经病学领域的持续发展依赖于便携式且经济高效的脑部监测工具,这些工具能够实时准确地监测脑功能。功能近红外光谱技术(fNIRS)就是这样一种工具,它作为功能磁共振成像的一种实用替代方法,以及作为脑电图等检测方式的补充工具,已在研究人员和临床医生中受到欢迎。本综述通过确定推动当前fNIRS研究的两个主要趋势,阐述了fNIRS对神经病学数字医疗个性化目标的贡献。第一个主要趋势是使用fNIRS进行多模态监测,这使临床医生能够获取更多数据,有助于他们了解患者脑血流动力学与其他生理现象之间的相互联系。这使临床医生能够对身体健康进行全面评估,以获得更详细和个性化的诊断。第二个主要趋势是fNIRS研究采用自然主义实验范式,即在熟悉的环境中进行多感官刺激。在动态活动或虚拟现实中对多感官刺激进行脑部监测,有助于了解日常生活中发生的复杂脑活动。最后,讨论了未来fNIRS研究的范围,以促进对脑激活的更准确评估,以及fNIRS作为数字医疗医疗设备在临床上得到更广泛的认可。