Real-time linear prediction of simultaneous and independent movements of two finger groups using an intracortical brain-machine interface.

Autor:	Nason SR; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA., Mender MJ; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA., Vaskov AK; Robotics Graduate Program, University of Michigan, Ann Arbor, MI 48109, USA., Willsey MS; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA; Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI 48109, USA., Ganesh Kumar N; Section of Plastic Surgery, Department of Surgery, University of Michigan, Ann Arbor, MI 48109, USA., Kung TA; Section of Plastic Surgery, Department of Surgery, University of Michigan, Ann Arbor, MI 48109, USA., Patil PG; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA; Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI 48109, USA; Department of Neurology, University of Michigan Medical School, Ann Arbor, MI 48109, USA; Neuroscience Graduate Program, University of Michigan, Ann Arbor, MI 48109, USA., Chestek CA; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA; Robotics Graduate Program, University of Michigan, Ann Arbor, MI 48109, USA; Neuroscience Graduate Program, University of Michigan, Ann Arbor, MI 48109, USA; Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109, USA. Electronic address: cchestek@umich.edu.
Jazyk:	angličtina
Zdroj:	Neuron [Neuron] 2021 Oct 06; Vol. 109 (19), pp. 3164-3177.e8. Date of Electronic Publication: 2021 Sep 08.
DOI:	10.1016/j.neuron.2021.08.009
Abstrakt:	Modern brain-machine interfaces can return function to people with paralysis, but current upper extremity brain-machine interfaces are unable to reproduce control of individuated finger movements. Here, for the first time, we present a real-time, high-speed, linear brain-machine interface in nonhuman primates that utilizes intracortical neural signals to bridge this gap. We created a non-prehensile task that systematically individuates two finger groups, the index finger and the middle-ring-small fingers combined. During online brain control, the ReFIT Kalman filter could predict individuated finger group movements with high performance. Next, training ridge regression decoders with individual movements was sufficient to predict untrained combined movements and vice versa. Finally, we compared the postural and movement tuning of finger-related cortical activity to find that individual cortical units simultaneously encode multiple behavioral dimensions. Our results suggest that linear decoders may be sufficient for brain-machine interfaces to execute high-dimensional tasks with the performance levels required for naturalistic neural prostheses. Competing Interests: Declaration of interests The authors declare no competing interests. (Copyright © 2021 Elsevier Inc. All rights reserved.)
Databáze:	MEDLINE
Externí odkaz:	Zobrazit plný text záznamu