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植入式脑机接口:首次人体研究、技术挑战与趋势

Implantable brain machine interfaces: first-in-human studies, technology challenges and trends.

作者信息

Rapeaux Adrien B, Constandinou Timothy G

机构信息

Department of Electrical and Electronic Engineering, Imperial College London, UK; Centre for Bio-Inspired Technology, Imperial College London, UK; Care Research and Technology (CR&T) based at Imperial College London and the University of Surrey, UK Dementia Research Institute (UK DRI), UK.

Department of Electrical and Electronic Engineering, Imperial College London, UK; Centre for Bio-Inspired Technology, Imperial College London, UK; Care Research and Technology (CR&T) based at Imperial College London and the University of Surrey, UK Dementia Research Institute (UK DRI), UK.

出版信息

Curr Opin Biotechnol. 2021 Dec;72:102-111. doi: 10.1016/j.copbio.2021.10.001. Epub 2021 Nov 5.

Abstract

Implantable brain machine interfaces (BMIs) are now on a trajectory to go mainstream, wherein what was once considered last resort will progressively become elective at earlier stages in disease treatment. First-in-human successes have demonstrated the ability to decode highly dexterous motor skills such as handwriting, and speech from human cortical activity. These have been used for cursor and prosthesis control, direct-to-text communication and speech synthesis. Along with these breakthrough studies, technology advancements have enabled the observation of more channels of neural activity through new concepts for centralised/distributed implant architectures. This is complemented by research in flexible substrates, packaging, surgical workflows and data processing. New regulatory guidance and funding has galvanised the field. This culmination of resource, efforts and capability is now attracting significant investment for BMI commercialisation. This paper reviews recent developments and describes the paradigm shift in BMI development that is leading to new innovations, insights and BMI translation.

摘要

可植入式脑机接口(BMI)目前正朝着主流方向发展,曾经被视为最后的手段将在疾病治疗的早期阶段逐渐成为一种可选择的治疗方式。首次人体试验的成功已经证明了从人类皮层活动中解码诸如手写和语音等高灵巧运动技能的能力。这些技能已被用于光标和假肢控制、直接文本通信和语音合成。随着这些突破性研究的开展,技术进步使得通过集中式/分布式植入架构的新概念能够观察到更多的神经活动通道。这得到了柔性基板、封装、手术流程和数据处理等方面研究的补充。新的监管指南和资金投入推动了该领域的发展。资源、努力和能力的这种结合目前正吸引着对BMI商业化的大量投资。本文回顾了近期的发展,并描述了BMI发展中的范式转变,这种转变正带来新的创新、见解和BMI转化。

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