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Deep brain-machine interfaces: sensing and modulating the human deep brain

delete2022-10-07
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OA
AI
Y
Yanan Sui
H
Huiling Yu
张晨 cover
张晨 (Chen Zhang)
Y
Yue Chen
姜长青 (Changqing Jiang)
李路明 (Luming Li) *
DOI:10.1093/nsr/nwac212delete
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Abstract

Abstract

En 中文
Deep brain-machine interfaces bridge machines and deep brain structures essential to our vital functions, and provide promising treatments for neurological and psychiatric disorders. Different from conventional brain-machine interfaces that focus more on decoding the cerebral cortex, deep brain-machine interfaces enable interactions between external machines and deep brain structures. They sense and modulate deep brain neural activities, aiming at function restoration, device control and therapeutic improvements. In this article, we provide an overview of multiple deep brain recording and stimulation techniques that can serve as deep brain-machine interfaces. We highlight two widely used interface technologies, namely deep brain stimulation and stereotactic electroencephalography, for technical trends, clinical applications and brain connectivity research. We discuss the potential to develop closed-loop deep brain-machine interfaces and achieve more effective and applicable systems for the treatment of neurological and psychiatric disorders.
Keywords:
deep brain-machine interface
sensing and modulation
deep brain stimulation
stereotactic electroencephalography
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Journal

National Science Review cover
National Science Review
IF:
17.1
Papers:
3.6K
Citations:
2.0W

Organization

T
tsinghua university
Scholars:
11.8W
Papers: 10.0W
Citations: 137