4.8 Article

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

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SCIENCE ADVANCES
卷 8, 期 46, 页码 -

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AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/sciadv.abo5040

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资金

  1. Life Science Engineering Area of Advance at Chalmers
  2. Slovenian Research Agency [J2-1731, P20041]
  3. National Health and Medical Research Council (Australia)
  4. European Research Council Synergy Grant Natural BionicS [810346]
  5. EPSRC Transformative Healthcare Technologies, NISNEM Technology [EP/T020970]
  6. Austrian Science Fund (FWF) [P20041] Funding Source: Austrian Science Fund (FWF)

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Invasive electromyography has provided a new approach to study the behavior of motoneurons in vivo. However, the limitation of this technique is the inability to concurrently detect a large number of active motoneurons, which hinders population analysis in natural tasks. In this study, a high-density intramuscular electrode and a fully automatic methodology were developed to detect action potential discharges of up to 67 concurrently active motoneurons with 99% accuracy. The findings revealed the common synaptic input and inhibitory behavior of motoneurons in the same pool, which is a significant contribution to the analysis of the human motor system in vivo.
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.

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