Closed-loop stimulation of lateral cervical spinal cord in upper-limb amputees to enable sensory discrimination: a case study.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
11 10 2022
Historique:
received: 23 03 2022
accepted: 26 09 2022
entrez: 11 10 2022
pubmed: 12 10 2022
medline: 14 10 2022
Statut: epublish

Résumé

Modern myoelectric prosthetic hands have multiple independently controllable degrees of freedom, but require constant visual attention to use effectively. Somatosensory feedback provides information not available through vision alone and is essential for fine motor control of our limbs. Similarly, stimulation of the nervous system can potentially provide artificial somatosensory feedback to reduce the reliance on visual cues to efficiently operate prosthetic devices. We have shown previously that epidural stimulation of the lateral cervical spinal cord can evoke tactile sensations perceived as emanating from the missing arm and hand in people with upper-limb amputation. In this case study, two subjects with upper-limb amputation used this somatotopically-matched tactile feedback to discriminate object size and compliance while controlling a prosthetic hand. With less than 30 min of practice each day, both subjects were able to use artificial somatosensory feedback to perform a subset of the discrimination tasks at a success level well above chance. Subject 1 was consistently more adept at determining object size (74% accuracy; chance: 33%) while Subject 2 achieved a higher accuracy level in determining object compliance (60% accuracy; chance 33%). In each subject, discrimination of the other object property was only slightly above or at chance level suggesting that the task design and stimulation encoding scheme are important determinants of which object property could be reliably identified. Our observations suggest that changes in the intensity of artificial somatosensory feedback provided via spinal cord stimulation can be readily used to infer information about object properties with minimal training.

Identifiants

pubmed: 36220864
doi: 10.1038/s41598-022-21264-7
pii: 10.1038/s41598-022-21264-7
pmc: PMC9553970
doi:

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

17002

Informations de copyright

© 2022. The Author(s).

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Auteurs

Ameya C Nanivadekar (AC)

Rehab Neural Engineering Labs, University of Pittsburgh, 3520 Fifth Avenue, Suite 300, Pittsburgh, PA, 15213, USA.
Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
Center for Neural Basis of Cognition, Pittsburgh, PA, 15213, USA.

Santosh Chandrasekaran (S)

Rehab Neural Engineering Labs, University of Pittsburgh, 3520 Fifth Avenue, Suite 300, Pittsburgh, PA, 15213, USA.
Center for Neural Basis of Cognition, Pittsburgh, PA, 15213, USA.
Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA, 15213, USA.

Eric R Helm (ER)

Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA, 15213, USA.

Michael L Boninger (ML)

Rehab Neural Engineering Labs, University of Pittsburgh, 3520 Fifth Avenue, Suite 300, Pittsburgh, PA, 15213, USA.
Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
University of Pittsburgh Clinical Translational Science Institute, Pittsburgh, PA, 15213, USA.

Jennifer L Collinger (JL)

Rehab Neural Engineering Labs, University of Pittsburgh, 3520 Fifth Avenue, Suite 300, Pittsburgh, PA, 15213, USA.
Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
Center for Neural Basis of Cognition, Pittsburgh, PA, 15213, USA.
Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
Human Engineering Research Labs, Department of Veteran Affairs, VA Center of Excellence, Pittsburgh, PA, 15206, USA.
Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA.

Robert A Gaunt (RA)

Rehab Neural Engineering Labs, University of Pittsburgh, 3520 Fifth Avenue, Suite 300, Pittsburgh, PA, 15213, USA.
Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
Center for Neural Basis of Cognition, Pittsburgh, PA, 15213, USA.
Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA.

Lee E Fisher (LE)

Rehab Neural Engineering Labs, University of Pittsburgh, 3520 Fifth Avenue, Suite 300, Pittsburgh, PA, 15213, USA. lef44@pitt.edu.
Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, 15213, USA. lef44@pitt.edu.
Center for Neural Basis of Cognition, Pittsburgh, PA, 15213, USA. lef44@pitt.edu.
Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA, 15213, USA. lef44@pitt.edu.
Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA. lef44@pitt.edu.

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