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Blind identification of the spinal cord output in humans with high-density electrode arrays implanted in muscles.

Silvia MuceliWigand PoppendieckAleš HolobarSimon C GandeviaDavid LiebetanzDario Farina
Published in: Science advances (2022)
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.
Keyphrases
  • high density
  • endothelial cells
  • spinal cord
  • induced pluripotent stem cells
  • pluripotent stem cells
  • machine learning
  • spinal cord injury
  • working memory
  • deep learning
  • data analysis
  • neural network
  • prefrontal cortex