Implicit mechanisms of intention.
Libet
awareness of intent
brain-machine interface
decision
motor planning
posterior parietal cortex
readiness potential
self-initiated action
volition
Journal
Current biology : CB
ISSN: 1879-0445
Titre abrégé: Curr Biol
Pays: England
ID NLM: 9107782
Informations de publication
Date de publication:
09 05 2022
09 05 2022
Historique:
received:
06
08
2021
revised:
03
02
2022
accepted:
15
03
2022
pubmed:
8
4
2022
medline:
14
5
2022
entrez:
7
4
2022
Statut:
ppublish
Résumé
High-level cortical regions encode motor decisions before or even absent awareness, suggesting that neural processes predetermine behavior before conscious choice. Such early neural encoding challenges popular conceptions of human agency. It also raises fundamental questions for brain-machine interfaces (BMIs) that traditionally assume that neural activity reflects the user's conscious intentions. Here, we study the timing of human posterior parietal cortex single-neuron activity recorded from implanted microelectrode arrays relative to the explicit urge to initiate movement. Participants were free to choose when to move, whether to move, and what to move, and they retrospectively reported the time they felt the urge to move. We replicate prior studies by showing that posterior parietal cortex (PPC) neural activity sharply rises hundreds of milliseconds before the reported urge. However, we find that this "preconscious" activity is part of a dynamic neural population response that initiates much earlier, when the participant first chooses to perform the task. Together with details of neural timing, our results suggest that PPC encodes an internal model of the motor planning network that transforms high-level task objectives into appropriate motor behavior. These new data challenge traditional interpretations of early neural activity and offer a more holistic perspective on the interplay between choice, behavior, and their neural underpinnings. Our results have important implications for translating BMIs into more complex real-world environments. We find that early neural dynamics are sufficient to drive BMI movements before the participant intends to initiate movement. Appropriate algorithms ensure that BMI movements align with the subject's awareness of choice.
Identifiants
pubmed: 35390282
pii: S0960-9822(22)00442-0
doi: 10.1016/j.cub.2022.03.047
pmc: PMC9090994
mid: NIHMS1796881
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
2051-2060.e6Subventions
Organisme : NEI NIH HHS
ID : R01 EY015545
Pays : United States
Organisme : NEI NIH HHS
ID : UG1 EY032039
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 N.P. consults for Second Sight Medical Products and Abbott Laboratories. All other authors declare that they have no conflicts of interest.
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