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Journal Articles Communications Biology Year : 2024

Human local field potentials in motor and non-motor brain areas encode upcoming movement direction

Etienne Combrisson
Franck Di Rienzo
Anne-Lise Saive
Marcela Perrone-Bertolotti
Juan L P Soto
  • Function : Author
Philippe Kahane
Jean-Philippe Lachaux
  • Function : Author
Aymeric Guillot
Karim Jerbi

Abstract

Limb movement direction can be inferred from local field potentials in motor cortex during movement execution. Yet, it remains unclear to what extent intended hand movements can be predicted from brain activity recorded during movement planning. Here, we set out to probe the directional-tuning of oscillatory features during motor planning and execution, using a machine learning framework on multi-site local field potentials (LFPs) in humans. We recorded intracranial EEG data from implanted epilepsy patients as they performed a four-direction delayed center-out motor task. Fronto-parietal LFP low-frequency power predicted hand-movement direction during planning while execution was largely mediated by higher frequency power and low-frequency phase in motor areas. By contrast, Phase-Amplitude Coupling showed uniform modulations across directions. Finally, multivariate classification led to an increase in overall decoding accuracy (>80%). The novel insights revealed here extend our understanding of the role of neural oscillations in encoding motor plans.

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Neuroscience
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hal-04567385 , version 1 (03-05-2024)

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Etienne Combrisson, Franck Di Rienzo, Anne-Lise Saive, Marcela Perrone-Bertolotti, Juan L P Soto, et al.. Human local field potentials in motor and non-motor brain areas encode upcoming movement direction. Communications Biology, 2024, 7 (1), pp.506. ⟨10.1038/s42003-024-06151-3⟩. ⟨hal-04567385⟩
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