Brain-machine interfaces from motor to mood

被引:181
作者
Shanechi, Maryam M. [1 ,2 ]
机构
[1] Univ Southern Calif, Viterbi Sch Engn, Ming Hsieh Dept Elect & Comp Engn, Los Angeles, CA 90007 USA
[2] Univ Southern Calif, Neurosci Grad Program, Los Angeles, CA 90007 USA
基金
美国国家卫生研究院; 美国国家科学基金会;
关键词
VENTRAL CAPSULE/VENTRAL STRIATUM; COMPUTER INTERFACE; CORTICAL CONTROL; FEEDBACK-CONTROL; SPIKING ACTIVITY; TEMPORAL-LOBE; STIMULATION; ADAPTATION; NETWORKS; TETRAPLEGIA;
D O I
10.1038/s41593-019-0488-y
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
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.
引用
收藏
页码:1554 / 1564
页数:11
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