Sensory- and Action-Oriented Embodiment of Neurally-Interfaced Robotic Hand Prostheses.

embodiment multisensory integration neural interface robotic hand prostheses sensory feedback

Journal

Frontiers in neuroscience
ISSN: 1662-4548
Titre abrégé: Front Neurosci
Pays: Switzerland
ID NLM: 101478481

Informations de publication

Date de publication:
2020
Historique:
received: 10 01 2020
accepted: 30 03 2020
entrez: 2 6 2020
pubmed: 2 6 2020
medline: 2 6 2020
Statut: epublish

Résumé

Embodiment is the percept that something not originally belonging to the self becomes part of the body. Feeling embodiment for a prosthesis may counteract amputees' altered image of the body and increase prosthesis acceptability. Prosthesis embodiment has been studied longitudinally in an amputee receiving feedback through intraneural and perineural multichannel electrodes implanted in her stump. Three factors-invasive (vs non-invasive) stimulation, training, and anthropomorphism-have been tested through two multisensory integration tasks: visuo-tactile integration (VTI) and crossing-hand effect in temporal order judgment (TOJ), the former more sensible to an extension of a safe margin around the body and the latter to action-oriented remapping. Results from the amputee participant were compared with the ones from healthy controls. Testing the participant with intraneural stimulation produced an extension of peripersonal space, a sign of prosthesis embodiment. One-month training extended the peripersonal space selectively on the side wearing the prostheses. More and less-anthropomorphic prostheses benefited of intraneural feedback and extended the peripersonal space. However, the worsening of TOJ performance following arm crossing was present only wearing the more trained, despite less anthropomorphic, prosthesis, suggesting that training was critical for our participant to achieve operative tool-like embodiment.

Identifiants

pubmed: 32477046
doi: 10.3389/fnins.2020.00389
pmc: PMC7232597
doi:

Types de publication

Journal Article

Langues

eng

Pagination

389

Subventions

Organisme : European Research Council
ID : 678908
Pays : International

Informations de copyright

Copyright © 2020 Di Pino, Romano, Spaccasassi, Mioli, D’Alonzo, Sacchetti, Guglielmelli, Zollo, Di Lazzaro, Denaro and Maravita.

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Auteurs

Giovanni Di Pino (G)

Research Unit of Neurophysiology and Neuroengineering of Human-Technology Interaction (NeXTlab), Università Campus Bio-Medico di Roma, Rome, Italy.

Daniele Romano (D)

Psychology Department & NeuroMi, Milan Center for Neuroscience, University of Milan-Bicocca, Milan, Italy.

Chiara Spaccasassi (C)

Psychology Department & NeuroMi, Milan Center for Neuroscience, University of Milan-Bicocca, Milan, Italy.

Alessandro Mioli (A)

Research Unit of Neurophysiology and Neuroengineering of Human-Technology Interaction (NeXTlab), Università Campus Bio-Medico di Roma, Rome, Italy.

Marco D'Alonzo (M)

Research Unit of Neurophysiology and Neuroengineering of Human-Technology Interaction (NeXTlab), Università Campus Bio-Medico di Roma, Rome, Italy.

Rinaldo Sacchetti (R)

National Institute for Insurance Against Accidents at Work, Bologna, Italy.

Eugenio Guglielmelli (E)

Research Unit of Advanced Robotics and Human-Centred Technologies, Università Campus Bio-Medico di Roma, Rome, Italy.

Loredana Zollo (L)

Research Unit of Advanced Robotics and Human-Centred Technologies, Università Campus Bio-Medico di Roma, Rome, Italy.

Vincenzo Di Lazzaro (V)

Research Unit of Neurology, Neurophysiology, Neurobiology, Università Campus Bio-Medico di Roma, Rome, Italy.

Vincenzo Denaro (V)

Research Unit of Orthopedics and Traumatology, Università Campus Bio-Medico di Roma, Rome, Italy.

Angelo Maravita (A)

Psychology Department & NeuroMi, Milan Center for Neuroscience, University of Milan-Bicocca, Milan, Italy.

Classifications MeSH