Ming Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA.
Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, USA.
Nat Neurosci. 2019 Oct;22(10):1554-1564. doi: 10.1038/s41593-019-0488-y. Epub 2019 Sep 24.
Brain-machine interfaces (BMIs) create closed-loop control systems that interact with the brain by recording and modulating neural activity and aim to restore lost function, most commonly motor function in paralyzed patients. Moreover, by precisely manipulating the elements within the control loop, motor BMIs have emerged as new scientific tools for investigating the neural mechanisms underlying control and learning. Beyond motor BMIs, recent work highlights the opportunity to develop closed-loop mood BMIs for restoring lost emotional function in neuropsychiatric disorders and for probing the neural mechanisms of emotion regulation. Here we review significant advances toward functional restoration and scientific discovery in motor BMIs that have been guided by a closed-loop control view. By focusing on this unifying view of BMIs and reviewing recent work, we then provide a perspective on how BMIs could extend to the neuropsychiatric domain.
脑机接口(BMI)通过记录和调节神经活动来创建与大脑交互的闭环控制系统,旨在恢复丧失的功能,最常见的是瘫痪患者的运动功能。此外,通过精确地操作控制回路中的元件,运动 BMI 已成为研究控制和学习神经机制的新科学工具。除了运动 BMI 之外,最近的工作还强调了开发闭环情绪 BMI 的机会,以恢复神经精神疾病中丧失的情绪功能,并探索情绪调节的神经机制。在这里,我们回顾了在闭环控制观点指导下,在运动 BMI 方面实现功能恢复和科学发现的重要进展。通过关注 BMI 的这种统一观点并回顾最近的工作,我们随后提供了关于 BMI 如何扩展到神经精神领域的观点。