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脑机接口从临床前试验到应用于人类患者面临的当前挑战。

Current Challenges Facing the Translation of Brain Computer Interfaces from Preclinical Trials to Use in Human Patients.

作者信息

Murphy Maxwell D, Guggenmos David J, Bundy David T, Nudo Randolph J

机构信息

Bioengineering Graduate Program, University of KansasLawrence, KS, USA; Department of Rehabilitation Medicine, University of Kansas Medical CenterKansas City, KS, USA.

Department of Rehabilitation Medicine, University of Kansas Medical Center Kansas City, KS, USA.

出版信息

Front Cell Neurosci. 2016 Jan 6;9:497. doi: 10.3389/fncel.2015.00497. eCollection 2015.

Abstract

Current research in brain computer interface (BCI) technology is advancing beyond preclinical studies, with trials beginning in human patients. To date, these trials have been carried out with several different types of recording interfaces. The success of these devices has varied widely, but different factors such as the level of invasiveness, timescale of recorded information, and ability to maintain stable functionality of the device over a long period of time all must be considered in addition to accuracy in decoding intent when assessing the most practical type of device moving forward. Here, we discuss various approaches to BCIs, distinguishing between devices focusing on control of operations extrinsic to the subject (e.g., prosthetic limbs, computer cursors) and those focusing on control of operations intrinsic to the brain (e.g., using stimulation or external feedback), including closed-loop or adaptive devices. In this discussion, we consider the current challenges facing the translation of various types of BCI technology to eventual human application.

摘要

目前脑机接口(BCI)技术的研究正在从临床前研究阶段向前推进,相关试验已在人类患者中展开。迄今为止,这些试验采用了几种不同类型的记录接口。这些设备的成功程度差异很大,但在评估最实用的设备类型时,除了解码意图的准确性外,还必须考虑诸如侵入程度、记录信息的时间尺度以及设备长时间保持稳定功能的能力等不同因素。在此,我们将讨论BCI的各种方法,区分专注于控制受试者外部操作(如假肢、电脑光标)的设备和专注于控制大脑内部操作(如使用刺激或外部反馈)的设备,包括闭环或自适应设备。在本次讨论中,我们将考虑各类BCI技术向最终人类应用转化过程中面临的当前挑战。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4955/4702293/30816c531033/fncel-09-00497-g0001.jpg

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