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

Author:

Sui Yanan1ORCID,Yu Huiling1,Zhang Chen1,Chen Yue1,Jiang Changqing1,Li Luming1234

Affiliation:

1. National Engineering Research Center of Neuromodulation, Tsinghua University , Beijing   100084 , China

2. Precision Medicine & Healthcare Research Center, Tsinghua-Berkeley Shenzhen Institute, Tsinghua University , Shenzhen   518055 , China

3. IDG/McGovern Institute for Brain Research at Tsinghua University , Beijing   100084 , China

4. Institute of Epilepsy, Beijing Institute for Brain Disorders , Beijing   100069 , China

Abstract

Abstract 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.

Funder

National Key Research and Development Program of China

Technological Innovation 2030–Brain Science and Brain-inspired Intelligence Technology

Shuimu Tsinghua Scholar Program

Publisher

Oxford University Press (OUP)

Subject

Multidisciplinary

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