中国神经再生研究(英文版) ›› 2024, Vol. 19 ›› Issue (7): 1517-1522.doi: 10.4103/1673-5374.387970

• 综述:脑损伤修复保护与再生 • 上一篇    下一篇

近红外脑功能成像技术与非侵入性神经调控技术

  

  • 出版日期:2024-07-15 发布日期:2023-11-28
  • 基金资助:
    国家自然科学基金项目(32271370);国家重点研发项目(2020YFC2004200);民政部康复领域重点实验室课题(118009001000160001)

Functional near-infrared spectroscopy in non-invasive neuromodulation

Congcong Huo1, 2, Gongcheng Xu1, 2, Hui Xie1, 2, Tiandi Chen2, Guangjian Shao3, Jue Wang2, 5, Wenhao Li4, Daifa Wang1, *, #br# Zengyong Li2, 5, *#br#   

  1. 1Beijing Advanced Innovation Center for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing, China; 2Beijing Key Laboratory of Rehabilitation Technical Aids for Old-Age Disability, National Research Center for Rehabilitation Technical Aids, Beijing, China; 3School of Mechatronic Engineering and Automation, Foshan University, Foshan, Guangdong Province, China; 4School of Rehabilitation Engineering, Beijing College of Social Administration, Beijing, China; 5Key Laboratory of Neuro-functional Information and Rehabilitation Engineering of the Ministry of Civil Affairs, Beijing, China
  • Online:2024-07-15 Published:2023-11-28
  • Contact: Zengyong Li, PhD, lizengyong@mca.gov.cn; Daifa Wang, PhD, daifa.wang@buaa.edu.cn.
  • Supported by:
    This work was supported by the National Natural Science Foundation of China, No. 32271370; National Key Research and Development Project, No. 2020YFC2004200; and Fundamental Research Funds for Central Public Welfare Research Institutes, No. 118009001000160001 (all to ZL).

摘要:

非侵入性神经调控技术对于脑神经网络重建至关重要,而脑神经网络可参与脑卒中、帕金森病和精神障碍等中枢神经疾病。尽管神经调控技术已取得了重大的进展,但由于缺乏对神经环路的指导,最佳的神经刺激参数(大脑皮质靶点、刺激持续时间、抑制或兴奋模式)的选择仍然缺乏理论依据。此外,神经调控技术改善行为表现的机制也不清楚。最近,神经成像技术的进步为深入了解神经调控技术提供了一条新的道路。近红外脑功能成像技术作为一种新兴的脑功能成像技术,可通过测量大脑血流动力学来观察大脑活动,具有便携性、高运动耐受和抗电磁干扰的优点。将近红外脑功能成像技术与神经调控技术相结合,可以监测大脑皮质反应,并提供实时反馈,进而建立一个集评估、反馈和神经刺激干预的“闭环”调控系统,进而促进个体化精准神经康复的发展。此次综述总结了近红外脑功能成像的优点,对近红外脑功能成像在经颅磁刺激、经颅电刺激、神经反馈和脑-计算机接口这些脑神经调控技术的研究现状进行了系统总结。此外,对近红外脑功能成像在神经调控中的应用前景进行展望。总之,近红外脑功能成像结合神经调控技术可促进并优化中枢神经重组以更好地促进中枢神经疾病的恢复。

https://orcid.org/0000-0001-7791-0668 (Zengyong Li); https://orcid.org/0000-0003-3977-3206 (Daifa Wang); https://orcid.org/0000-0002-3198-0158 (Congcong Huo)

关键词: 无创脑刺激, 脑神经网络, 近红外脑功能成像技术, 神经环路, 神经调控, 神经系统疾病, 经颅电刺激, 经颅电刺激, 神经反馈, 脑机接口

Abstract: Non-invasive cerebral neuromodulation technologies are essential for the reorganization of cerebral neural networks, which have been widely applied in the field of central neurological diseases, such as stroke, Parkinson’s disease, and mental disorders. Although significant advances have been made in neuromodulation technologies, the identification of optimal neurostimulation parameters including the cortical target, duration, and inhibition or excitation pattern is still limited due to the lack of guidance for neural circuits. Moreover, the neural mechanism underlying neuromodulation for improved behavioral performance remains poorly understood. Recently, advancements in neuroimaging have provided insight into neuromodulation techniques. Functional near-infrared spectroscopy, as a novel non-invasive optical brain imaging method, can detect brain activity by measuring cerebral hemodynamics with the advantages of portability, high motion tolerance, and anti-electromagnetic interference. Coupling functional near-infrared spectroscopy with neuromodulation technologies offers an opportunity to monitor the cortical response, provide real-time feedback, and establish a closed-loop strategy integrating evaluation, feedback, and intervention for neurostimulation, which provides a theoretical basis for development of individualized precise neurorehabilitation. We aimed to summarize the advantages of functional near-infrared spectroscopy and provide an overview of the current research on functional near-infrared spectroscopy in transcranial magnetic stimulation, transcranial electrical stimulation, neurofeedback, and brain-computer interfaces. Furthermore, the future perspectives and directions for the application of functional near-infrared spectroscopy in neuromodulation are summarized. In conclusion, functional near-infrared spectroscopy combined with neuromodulation may promote the optimization of central neural reorganization to achieve better functional recovery from central nervous system diseases.

Key words: brain-computer interface, cerebral neural networks, functional near-infrared spectroscopy, neural circuit, neurofeedback, neurological diseases, neuromodulation, non-invasive brain stimulation, transcranial electrical stimulation, transcranial electrical stimulation