为临床揭示疼痛之谜:使用功能近红外光谱监测大脑中疼痛过程的综合综述。

Shedding light on pain for the clinic: a comprehensive review of using functional near-infrared spectroscopy to monitor its process in the brain.

机构信息

University of Michigan, School of Dentistry, Biologic & Materials Sciences Department, Hedache & Orofacial Pain Effort Lab, Ann Arbor, MI, United States.

出版信息

Pain. 2021 Dec 1;162(12):2805-2820. doi: 10.1097/j.pain.0000000000002293.

Abstract

Pain is a complex experience that involves sensation, emotion, and cognition. The subjectivity of the traditional pain measurement tools has expedited the interest in developing neuroimaging techniques to monitor pain objectively. Among noninvasive neuroimaging techniques, functional near-infrared spectroscopy (fNIRS) has balanced spatial and temporal resolution; yet, it is portable, quiet, and cost-effective. These features enable fNIRS to image the cortical mechanisms of pain in a clinical environment. In this article, we evaluated pain neuroimaging studies that used the fNIRS technique in the past decade. Starting from the experimental design, we reviewed the regions of interest, probe localization, data processing, and primary findings of these existing fNIRS studies. We also discussed the fNIRS imaging's potential as a brain surveillance technique for pain, in combination with artificial intelligence and extended reality techniques. We concluded that fNIRS is a brain imaging technique with great potential for objective pain assessment in the clinical environment.

摘要

疼痛是一种复杂的体验,涉及感觉、情感和认知。传统疼痛测量工具的主观性促使人们热衷于开发神经影像学技术来客观地监测疼痛。在非侵入性神经影像学技术中,功能近红外光谱 (fNIRS) 具有平衡的空间和时间分辨率;同时,它便携、安静且具有成本效益。这些特点使 fNIRS 能够在临床环境中对疼痛的皮质机制进行成像。在本文中,我们评估了过去十年中使用 fNIRS 技术的疼痛神经影像学研究。从实验设计开始,我们回顾了这些现有的 fNIRS 研究的感兴趣区域、探头定位、数据处理和主要发现。我们还讨论了 fNIRS 成像与人工智能和扩展现实技术相结合作为疼痛脑监测技术的潜力。我们得出结论,fNIRS 是一种具有巨大潜力的脑成像技术,可在临床环境中进行客观的疼痛评估。

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