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

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...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8637800/
https://www.ncbi.nlm.nih.gov/pubmed/34870202
http://dx.doi.org/10.1093/braincomms/fcab248
Descripción
Sumario: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.