Progress in Functional Near-Infrared Spectroscopy Imaging for Pain Perception and Assessment
Du Jiahao1, Yu Hongliu1,2,3, Shi Ping1*
1(Rehabilitation Engineering and Technology Institute, University of Shanghai for Science and Technology, Shanghai 200093, China) 2(Shanghai Engineering Research Center of Assistive Devices, Shanghai 200093, China) 3(Key Laboratory of Neural-functional Information and Rehabilitation Engineering of the Ministry of Civil Affairs, Shanghai 200093, China)
Abstract：Pain is a complex experience involving sensation, movement, and cognition. The high subjective bias of traditional pain assessment methods has stimulated interests in imaging techniques for objective pain assessment. Studies have shown that brain nociception in vivo can be assessed quantitatively, with functional near-infrared spectroscopy (fNIRS) being favored by pain research for several advantages including high temporal resolution, low cost, portability, and real-time observation of pain in complex clinical settings. In order to further reveal the potential cortical mechanisms of pain action in clinical settings, this paper started with an experimental design and investigated in turn the brain regions associated with pain, fNIRS probe localization, data processing, and the main findings of existing fNIRS techniques in pain research, and discusses the future directions of combining fNIRS imaging with artificial intelligence algorithms for pain research and objective assessment as well as the issues that remain to be optimization issues.
杜佳昊, 喻洪流, 石萍. 用于疼痛感知与评估的功能性近红外光谱成像研究进展[J]. 中国生物医学工程学报, 2023, 42(1): 82-90.
Du Jiahao, Yu Hongliu, Shi Ping. Progress in Functional Near-Infrared Spectroscopy Imaging for Pain Perception and Assessment. Chinese Journal of Biomedical Engineering, 2023, 42(1): 82-90.
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