Mokienko O A, Lyukmanov R Kh, Bobrov P D, Suponeva N A, Piradov M A
MD, PhD, Researcher, Brain-Computer Interface Group of Institute for Neurorehabilitation and Restorative Technologies; Research Center of Neurology, 80 Volokolamskoe Shosse, Moscow, 125367, Russia; Senior Researcher, Mathematical Neurobiology of Learning Laboratory; Institute of Higher Nervous Activity and Neurophysiology of Russian Academy of Sciences, 5A Butlerova St., Moscow, 117485, Russia.
MD, PhD, Head of the Brain-Computer Interface Group of Institute for Neurorehabilitation and Restorative Technologies; Research Center of Neurology, 80 Volokolamskoe Shosse, Moscow, 125367, Russia.
Sovrem Tekhnologii Med. 2023;15(6):63-73. doi: 10.17691/stm2023.15.6.07. Epub 2023 Dec 27.
Brain-computer interfaces (BCIs) are a group of technologies that allow mental training with feedback for post-stroke motor recovery. Varieties of these technologies have been studied in numerous clinical trials for more than 10 years, and their construct and software are constantly being improved. Despite the positive treatment results and the availability of registered medical devices, there are currently a number of problems for the wide clinical application of BCI technologies. This review provides information on the most studied types of BCIs and its training protocols and describes the evidence base for the effectiveness of BCIs for upper limb motor recovery after stroke. The main problems of scaling this technology and ways to solve them are also described.
脑机接口（BCIs）是一组技术，可实现带有反馈的心理训练，以促进中风后运动功能恢复。这些技术的多种类型已在众多临床试验中研究了10多年，其结构和软件也在不断改进。尽管取得了积极的治疗效果且已有注册医疗设备，但目前脑机接口技术在广泛临床应用方面仍存在一些问题。本综述提供了关于研究最多的脑机接口类型及其训练方案的信息，并描述了脑机接口对中风后上肢运动恢复有效性的证据基础。还介绍了扩大该技术应用规模的主要问题及解决方法。
