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作 者:Yanan Sui Huiling Yu Chen Zhang Yue Chen Changqing Jiang Luming Li
机构地区:[1]National Engineering Research Center of Neuromodulation,Tsinghua University,Beijing 100084,China [2]Precision Medicine&Healthcare Research Center,TsinghuaBerkeley 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
出 处:《National Science Review》2022年第10期13-27,共15页国家科学评论(英文版)
基 金:the National Key Research and Development Program of China(2021YFE0111800);the Technological Innovation 2030–Brain Science and Brain-inspired Intelligence Technology(2022ZD0209400);the Shuimu Tsinghua Scholar Program(2019SM133).
摘 要: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.
关 键 词:deep brain–machine interface sensing and modulation deep brain stimulation stereotactic electroencephalography
分 类 号:TN911.7[电子电信—通信与信息系统] R318[电子电信—信息与通信工程]
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