Decoding grasp and speech signals from the cortical grasp circuit in a tetraplegic human.
brain-machine interfaces
grasp decoding
single-unit recording
somatosensory cortex
speech decoding
supramarginal gyrus
ventral premotor cortex
Journal
Neuron
ISSN: 1097-4199
Titre abrégé: Neuron
Pays: United States
ID NLM: 8809320
Informations de publication
Date de publication:
01 06 2022
01 06 2022
Historique:
received:
03
11
2021
revised:
01
02
2022
accepted:
08
03
2022
pubmed:
2
4
2022
medline:
7
6
2022
entrez:
1
4
2022
Statut:
ppublish
Résumé
The cortical grasp network encodes planning and execution of grasps and processes spoken and written aspects of language. High-level cortical areas within this network are attractive implant sites for brain-machine interfaces (BMIs). While a tetraplegic patient performed grasp motor imagery and vocalized speech, neural activity was recorded from the supramarginal gyrus (SMG), ventral premotor cortex (PMv), and somatosensory cortex (S1). In SMG and PMv, five imagined grasps were well represented by firing rates of neuronal populations during visual cue presentation. During motor imagery, these grasps were significantly decodable from all brain areas. During speech production, SMG encoded both spoken grasp types and the names of five colors. Whereas PMv neurons significantly modulated their activity during grasping, SMG's neural population broadly encoded features of both motor imagery and speech. Together, these results indicate that brain signals from high-level areas of the human cortex could be used for grasping and speech BMI applications.
Identifiants
pubmed: 35364014
pii: S0896-6273(22)00245-8
doi: 10.1016/j.neuron.2022.03.009
pmc: PMC9186423
mid: NIHMS1795361
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
1777-1787.e3Subventions
Organisme : NINDS NIH HHS
ID : U01 NS098975
Pays : United States
Organisme : NINDS NIH HHS
ID : U01 NS123127
Pays : United States
Commentaires et corrections
Type : CommentIn
Informations de copyright
Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of interests The authors declare no competing interests.
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