Frontal and parietal planning signals encode adapted motor commands when learning to control a brain–computer interface

Perturbing visual feedback is a powerful tool for studying visuomotor adaptation. However, unperturbed proprioceptive signals in common paradigms inherently co-varies with physical movements and causes incongruency with the visual input. This can create challenges when interpreting underlying neurophysiological mechanisms. We employed a brain-computer interface (BCI) in rhesus monkeys to investigate spatial encoding in frontal and parietal areas during a 3D visuomotor rotation task where only visual feedback was movement-contingent. We found that both brain regions better reflected the adapted motor commands than the perturbed visual feedback during movement preparation and execution. This adaptive response was observed in both local and remote neurons, even when they did not directly contribute to the BCI input signals. The transfer of adaptive changes in planning activity to corresponding movement corrections was stronger in the frontal than in the parietal cortex. Our results suggest an integrated large-scale visuomotor adaptation mechanism in a motor-reference frame spanning across frontoparietal cortices.

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Journal
PLoS Biology
Published
2025-09-29
DOI
https://doi.org/10.1371/journal.pbio.3003408
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
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article

Frontal and parietal planning signals encode adapted motor commands when learning to control a brain–computer interface

Alexander Gail, Enrico Ferrea, Pierre Morel
PLoS Biology
EEG and Brain-Computer Interfaces
article

Frontal and parietal planning signals encode adapted motor commands when learning to control a brain–computer interface

Alexander Gail, Enrico Ferrea, Pierre Morel
article en

Abstract

Perturbing visual feedback is a powerful tool for studying visuomotor adaptation. However, unperturbed proprioceptive signals in common paradigms inherently co-varies with physical movements and causes incongruency with the visual input. This can create challenges when interpreting underlying neurophysiological mechanisms. We employed a brain-computer interface (BCI) in rhesus monkeys to investigate spatial encoding in frontal and parietal areas during a 3D visuomotor rotation task where only visual feedback was movement-contingent. We found that both brain regions better reflected the adapted motor commands than the perturbed visual feedback during movement preparation and execution. This adaptive response was observed in both local and remote neurons, even when they did not directly contribute to the BCI input signals. The transfer of adaptive changes in planning activity to corresponding movement corrections was stronger in the frontal than in the parietal cortex. Our results suggest an integrated large-scale visuomotor adaptation mechanism in a motor-reference frame spanning across frontoparietal cortices.

PLoS BiologyVol. 23(9)
Université de Lille (FR), German Primate Center (DE), Bernstein Center for Computational Neuroscience Göttingen (DE), Unité de Recherche Pluridisciplinaire Sport, Santé, Société (FR), Leibniz ScienceCampus Primate Cognition (DE), Université d'Artois (FR), University of Göttingen (DE)
Openalex Percentile: Top 73%
EEG and Brain-Computer Interfaces
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Frontal and parietal planning signals encode adapted motor commands when learning to control a brain–computer interface — Alexander Gail, Enrico Ferrea, et al. · PLoS Biology (2025) | TGRS Research Map | TGRS