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Common synaptic inputs are not distributed homogeneously among the motor neurons that innervate synergistic muscles

View ORCID ProfileA. Del Vecchio, C. Germer, T. M. Kinfe, S. Nuccio, View ORCID ProfileF. Hug, B. Eskofier, D. Farina, R. M. Enoka
doi: https://doi.org/10.1101/2022.01.23.477379
A. Del Vecchio
1Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander University (FAU), Erlangen-Nürnberg, Erlangen, Germany
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  • For correspondence: alessandro.del.vecchio@fau.de enoka@colorado.edu
C. Germer
2Department of Bioengineering, Federal University of Pernambuco, Recife, Brazil
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T. M. Kinfe
3Division of Functional Neurosurgery and Stereotaxy, Friedrich-Alexander University, Erlangen-Nürnberg, Erlangen, Germany
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S. Nuccio
4Department Human Movement Science, University of Rome “Foro Italico”
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F. Hug
5Université Côte d’Azur, LAMHESS, Nice, France
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B. Eskofier
1Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander University (FAU), Erlangen-Nürnberg, Erlangen, Germany
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D. Farina
6Department of Bioengineering, Imperial College London, United Kingdom
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R. M. Enoka
7Department of Integrative Physiology, University of Colorado Boulder, CO, United States
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  • For correspondence: alessandro.del.vecchio@fau.de enoka@colorado.edu
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Abstract

The force generated by the muscles involved in an action is produced by common synaptic inputs received by the engaged motor neurons. The purpose of our study was to identify the low-dimensional latent components, defined hereafter as neural modules, underlying the discharge rates of the motor units from two knee extensors (vastus medialis and lateralis) and two hand muscles (index and thumb muscles) during isometric contractions. The neural modules were extracted by factor analysis from the pooled motor units and no assumptions were made regarding the orthogonality of the modules or the association between the modules and each muscle. Factor analysis identified two independent neural modules that captured most of the covariance in the discharge rates of the motor units in the synergistic muscles. Although the neural modules were strongly correlated with the discharge rates of motor units in each of the synergistic pair of muscles, not all motor units in a muscle were correlated with the neural module for that muscle. The distribution of motor units across the pair of neural modules differed for each muscle: 80% of the motor units in first dorsal interosseous were more strongly correlated with the neural module for that muscle, whereas the proportion was 70%, 60%, and 45% for the thenar, vastus medialis, and vastus lateralis muscles. All other motor units either belonged to both modules or to the module for the other muscle (15% for vastus lateralis). Based on a simulation of 480 integrate-and-fire neurons receiving independent and common inputs, we demonstrate that factor analysis identifies the three neural modules with high levels of accuracy. Our results indicate that the correlated discharge rates of motor units arise from at least two sources of common synaptic input that are not distributed homogeneously among the motor neurons innervating synergistic muscles.

Competing Interest Statement

The authors have declared no competing interest.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted January 23, 2022.
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Common synaptic inputs are not distributed homogeneously among the motor neurons that innervate synergistic muscles
A. Del Vecchio, C. Germer, T. M. Kinfe, S. Nuccio, F. Hug, B. Eskofier, D. Farina, R. M. Enoka
bioRxiv 2022.01.23.477379; doi: https://doi.org/10.1101/2022.01.23.477379
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Common synaptic inputs are not distributed homogeneously among the motor neurons that innervate synergistic muscles
A. Del Vecchio, C. Germer, T. M. Kinfe, S. Nuccio, F. Hug, B. Eskofier, D. Farina, R. M. Enoka
bioRxiv 2022.01.23.477379; doi: https://doi.org/10.1101/2022.01.23.477379

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