Blind identification of the spinal cord output in humans with high-density electrode arrays implanted in muscles
File(s)
Published version
Author(s)
Type
Journal Article
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.
Date Issued
2022-11-16
Date Acceptance
2022-10-20
Citation
Science Advances, 2022, 8 (46)
ISSN
2375-2548
Publisher
American Association for the Advancement of Science (AAAS)
Journal / Book Title
Science Advances
Volume
8
Issue
46
Copyright Statement
© 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
License URL
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/36383647
Subjects
CONDUCTION-VELOCITY
CONTRACTIONS
DECOMPOSITION
DISCHARGE
MOTONEURONS
MOTOR
Multidisciplinary Sciences
NEURAL DRIVE
RECURRENT INHIBITION
Science & Technology
Science & Technology - Other Topics
STRENGTH
TIBIALIS ANTERIOR
Publication Status
Published
Coverage Spatial
United States
Article Number
eabo5040
Date Publish Online
2022-11-16