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Propagating spatiotemporal activity patterns across macaque motor cortex carry kinematic information.
Liang, Wei; Balasubramanian, Karthikeyan; Papadourakis, Vasileios; Hatsopoulos, Nicholas G.
Afiliação
  • Liang W; Committee on Computational Neuroscience, University of Chicago, Chicago, IL 60637.
  • Balasubramanian K; Organismal Biology and Anatomy, University of Chicago, Chicago, IL 60637.
  • Papadourakis V; Organismal Biology and Anatomy, University of Chicago, Chicago, IL 60637.
  • Hatsopoulos NG; Organismal Biology and Anatomy, University of Chicago, Chicago, IL 60637.
Proc Natl Acad Sci U S A ; 120(4): e2212227120, 2023 01 24.
Article em En | MEDLINE | ID: mdl-36652475
Propagating spatiotemporal neural patterns are widely evident across sensory, motor, and association cortical areas. However, it remains unclear whether any characteristics of neural propagation carry information about specific behavioral details. Here, we provide the first evidence for a link between the direction of cortical propagation and specific behavioral features of an upcoming movement on a trial-by-trial basis. We recorded local field potentials (LFPs) from multielectrode arrays implanted in the primary motor cortex of two rhesus macaque monkeys while they performed a 2D reach task. Propagating patterns were extracted from the information-rich high-gamma band (200 to 400 Hz) envelopes in the LFP amplitude. We found that the exact direction of propagating patterns varied systematically according to initial movement direction, enabling kinematic predictions. Furthermore, characteristics of these propagation patterns provided additional predictive capability beyond the LFP amplitude themselves, which suggests the value of including mesoscopic spatiotemporal characteristics in refining brain-machine interfaces.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Interfaces Cérebro-Computador / Córtex Motor Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Interfaces Cérebro-Computador / Córtex Motor Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2023 Tipo de documento: Article