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Implantable brain–computer interface for neuroprosthetic-enabled volitional hand grasp restoration in spinal cord injury

Author(s)
Cajigas, Iahn; Davis, Kevin C; Meschede-Krasa, Benyamin; Prins, Noeline W; Gallo, Sebastian; Naeem, Jasim Ahmad; Palermo, Anne; Wilson, Audrey; Guerra, Santiago; Parks, Brandon A; Zimmerman, Lauren; Gant, Katie; Levi, Allan D; Dietrich, W Dalton; Fisher, Letitia; Vanni, Steven; Tauber, John Michael; Garwood, Indie C; Abel, John H; Brown, Emery N; Ivan, Michael E; Prasad, Abhishek; Jagid, Jonathan; ... Show more Show less
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Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/
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Abstract
<jats:title>Abstract</jats:title> <jats:p>Loss of hand function after cervical spinal cord injury severely impairs functional independence. We describe a method for restoring volitional control of hand grasp in one 21-year-old male subject with complete cervical quadriplegia (C5 American Spinal Injury Association Impairment Scale A) using a portable fully implanted brain–computer interface within the home environment. The brain–computer interface consists of subdural surface electrodes placed over the dominant-hand motor cortex and connects to a transmitter implanted subcutaneously below the clavicle, which allows continuous reading of the electrocorticographic activity. Movement-intent was used to trigger functional electrical stimulation of the dominant hand during an initial 29-weeks laboratory study and subsequently via a mechanical hand orthosis during in-home use. Movement-intent information could be decoded consistently throughout the 29-weeks in-laboratory study with a mean accuracy of 89.0% (range 78–93.3%). Improvements were observed in both the speed and accuracy of various upper extremity tasks, including lifting small objects and transferring objects to specific targets. At-home decoding accuracy during open-loop trials reached an accuracy of 91.3% (range 80–98.95%) and an accuracy of 88.3% (range 77.6–95.5%) during closed-loop trials. Importantly, the temporal stability of both the functional outcomes and decoder metrics were not explored in this study. A fully implanted brain–computer interface can be safely used to reliably decode movement-intent from motor cortex, allowing for accurate volitional control of hand grasp.</jats:p>
Date issued
2021
URI
https://hdl.handle.net/1721.1/148703
Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Journal
Brain Communications
Publisher
Oxford University Press (OUP)
Citation
Cajigas, Iahn, Davis, Kevin C, Meschede-Krasa, Benyamin, Prins, Noeline W, Gallo, Sebastian et al. 2021. "Implantable brain–computer interface for neuroprosthetic-enabled volitional hand grasp restoration in spinal cord injury." Brain Communications, 3 (4).
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