High performance communication by people with paralysis using an intracortical brain-computer interface

被引：336

作者：

Pandarinath, Chethan ^{[1
,2
,3
,4
,5
,6
]}

Nuyujukian, Paul ^{[1
,3
,7
,8
]}

Blabe, Christine H. ^{[1
]}

Sorice, Brittany L. ^{[9
]}

Saab, Jad ^{[10
,11
,12
]}

Willett, Francis R. ^{[13
,14
]}

Hochberg, Leigh R. ^{[11
,12
,15
]}

Shenoy, Krishna V. ^{[2
,3
,7
,16
,17
,18
]}

Henderson, Jaimie M. ^{[1
,3
]}

机构：

[1] Stanford Univ, Dept Neurosurg, Stanford, CA 94305 USA

[2] Stanford Univ, Elect Engn, Stanford, CA 94305 USA

[3] Stanford Univ, Stanford Neurosci Inst, Stanford, CA 94305 USA

[4] Emory Univ, Wallace H Coulter Dept Biomed Engn, Atlanta, GA 30322 USA

[5] Georgia Inst Technol, Atlanta, GA 30332 USA

[6] Emory Univ, Dept Neurosurg, Atlanta, GA 30322 USA

[7] Stanford Univ, Dept Bioengn, Stanford, CA 94305 USA

[8] Stanford Univ, Sch Med, Stanford, CA 94305 USA

[9] Massachusetts Gen Hosp, Dept Neurol, Boston, MA 02114 USA

[10] Brown Univ, Sch Engn, Providence, RI 02912 USA

[11] Brown Univ, Brown Inst Brain Sci, Providence, RI 02912 USA

[12] Dept VA Med Ctr, Ctr Neurorestorat & Neurotechnol, Rehabil R&D Serv, Providence, RI USA

[13] Case Western Reserve Univ, Dept Biomed Engn, Cleveland, OH 44106 USA

[14] Louis Stokes VA Med Ctr, Cleveland Funct Elect Stimulat FES Ctr Excellence, Cleveland, OH 44106 USA

[15] Harvard Med Sch, Dept Neurol, Boston, MA USA

[16] Stanford Univ, Neurosci Program, Stanford, CA 94305 USA

[17] Stanford Univ, Dept Neurobiol, Stanford, CA 94305 USA

[18] Stanford Univ, Howard Hughes Med Inst, Stanford, CA 94305 USA

来源：

ELIFE | 2017年 / 6卷

关键词：

ELECTROCORTICOGRAPHIC SIGNALS; CORTICAL CONTROL; PRIORITIES; MODELS; SYSTEM; GRASP; BCI;

D O I：

10.7554/eLife.18554

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Brain-computer interfaces (BCIs) have the potential to restore communication for people with tetraplegia and anarthria by translating neural activity into control signals for assistive communication devices. While previous pre-clinical and clinical studies have demonstrated promising proofs-of-concept (Serruya et al., 2002; Simeral et al., 2011; Bacher et al., 2015; Nuyujukian et al., 2015; Aflalo et al., 2015; Gilja et al., 2015; Jarosiewicz et al., 2015; Wolpaw et al., 1998; Hwang et al., 2012; SpOler et al., 2012; Leuthardt et al., 2004; Taylor et al., 2002; Schalk et al., 2008; Moran, 2010; Brunner et al., 2011; Wang et al., 2013; Townsend and Platsko, 2016; Vansteensel et al., 2016; Nuyujukian et al., 2016; Carmena et al., 2003; Musallam et al., 2004; Santhanam et al., 2006; Hochberg et al., 2006; Ganguly et al., 2011; O'Doherty et al., 2011; Gilja et al., 2012), the performance of human clinical BCI systems is not yet high enough to support widespread adoption by people with physical limitations of speech. Here we report a highperformance intracortical BCI (iBCI) for communication, which was tested by three clinical trial participants with paralysis. The system leveraged advances in decoder design developed in prior pre-clinical and clinical studies (Gilja et al., 2015; Kao et al., 2016; Gilja et al., 2012). For all three participants, performance exceeded previous iBCls (Bacher et al., 2015; Jarosiewicz et al., 2015) as measured by typing rate (by a factor of 1.4-4.2) and information throughput (by a factor of 2.2-4.0). This high level of performance demonstrates the potential utility of iBCIs as powerful assistive communication devices for people with limited motor function.

引用

页数：27