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Blind identification of the spinal cord output in humans with high-density electrode arrays implanted in muscles.
Muceli, Silvia; Poppendieck, Wigand; Holobar, Ales; Gandevia, Simon; Liebetanz, David; Farina, Dario.
Afiliação
  • Muceli S; Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden.
  • Poppendieck W; Mannheim University of Applied Sciences, Mannheim, Germany.
  • Holobar A; Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia.
  • Gandevia S; Neuroscience Research Australia and University of New South Wales, Randwick, Sydney, New South Wales, Australia.
  • Liebetanz D; Department of Neurology, University Medical Center Göttingen, Georg-August University, Göttingen, Germany.
  • Farina D; Department of Bioengineering, Imperial College London, London, UK.
Sci Adv ; 8(46): eabo5040, 2022 Nov 18.
Article em En | MEDLINE | ID: mdl-36383647
ABSTRACT
Invasive electromyography opened a new window to explore motoneuron behavior in vivo. However, the technique is limited by the small fraction of active motoneurons that can be concurrently detected, precluding a population analysis in natural tasks. Here, we developed a high-density intramuscular electrode for in vivo human recordings along with a fully automatic methodology that could detect the discharges of action potentials of up to 67 concurrently active motoneurons with 99% accuracy. These data revealed that motoneurons of the same pool receive common synaptic input at frequencies up to 75 Hz and that late-recruited motoneurons inhibit the discharges of those recruited earlier. These results constitute an important step in the population coding analysis of the human motor system in vivo.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article