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Diverse and complex muscle spindle afferent firing properties emerge from multiscale muscle mechanics
Despite decades of research, we lack a mechanistic framework capable of predicting how movement-related signals are transformed into the diversity of muscle spindle afferent firing patterns observed experimentally, particularly in naturalistic behaviors. Here, a biophysical model demonstrates that w...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7769569/ https://www.ncbi.nlm.nih.gov/pubmed/33370235 http://dx.doi.org/10.7554/eLife.55177 |
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author | Blum, Kyle P Campbell, Kenneth S Horslen, Brian C Nardelli, Paul Housley, Stephen N Cope, Timothy C Ting, Lena H |
author_facet | Blum, Kyle P Campbell, Kenneth S Horslen, Brian C Nardelli, Paul Housley, Stephen N Cope, Timothy C Ting, Lena H |
author_sort | Blum, Kyle P |
collection | PubMed |
description | Despite decades of research, we lack a mechanistic framework capable of predicting how movement-related signals are transformed into the diversity of muscle spindle afferent firing patterns observed experimentally, particularly in naturalistic behaviors. Here, a biophysical model demonstrates that well-known firing characteristics of mammalian muscle spindle Ia afferents – including movement history dependence, and nonlinear scaling with muscle stretch velocity – emerge from first principles of muscle contractile mechanics. Further, mechanical interactions of the muscle spindle with muscle-tendon dynamics reveal how motor commands to the muscle (alpha drive) versus muscle spindle (gamma drive) can cause highly variable and complex activity during active muscle contraction and muscle stretch that defy simple explanation. Depending on the neuromechanical conditions, the muscle spindle model output appears to ‘encode’ aspects of muscle force, yank, length, stiffness, velocity, and/or acceleration, providing an extendable, multiscale, biophysical framework for understanding and predicting proprioceptive sensory signals in health and disease. |
format | Online Article Text |
id | pubmed-7769569 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-77695692020-12-30 Diverse and complex muscle spindle afferent firing properties emerge from multiscale muscle mechanics Blum, Kyle P Campbell, Kenneth S Horslen, Brian C Nardelli, Paul Housley, Stephen N Cope, Timothy C Ting, Lena H eLife Computational and Systems Biology Despite decades of research, we lack a mechanistic framework capable of predicting how movement-related signals are transformed into the diversity of muscle spindle afferent firing patterns observed experimentally, particularly in naturalistic behaviors. Here, a biophysical model demonstrates that well-known firing characteristics of mammalian muscle spindle Ia afferents – including movement history dependence, and nonlinear scaling with muscle stretch velocity – emerge from first principles of muscle contractile mechanics. Further, mechanical interactions of the muscle spindle with muscle-tendon dynamics reveal how motor commands to the muscle (alpha drive) versus muscle spindle (gamma drive) can cause highly variable and complex activity during active muscle contraction and muscle stretch that defy simple explanation. Depending on the neuromechanical conditions, the muscle spindle model output appears to ‘encode’ aspects of muscle force, yank, length, stiffness, velocity, and/or acceleration, providing an extendable, multiscale, biophysical framework for understanding and predicting proprioceptive sensory signals in health and disease. eLife Sciences Publications, Ltd 2020-12-28 /pmc/articles/PMC7769569/ /pubmed/33370235 http://dx.doi.org/10.7554/eLife.55177 Text en © 2020, Blum et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology Blum, Kyle P Campbell, Kenneth S Horslen, Brian C Nardelli, Paul Housley, Stephen N Cope, Timothy C Ting, Lena H Diverse and complex muscle spindle afferent firing properties emerge from multiscale muscle mechanics |
title | Diverse and complex muscle spindle afferent firing properties emerge from multiscale muscle mechanics |
title_full | Diverse and complex muscle spindle afferent firing properties emerge from multiscale muscle mechanics |
title_fullStr | Diverse and complex muscle spindle afferent firing properties emerge from multiscale muscle mechanics |
title_full_unstemmed | Diverse and complex muscle spindle afferent firing properties emerge from multiscale muscle mechanics |
title_short | Diverse and complex muscle spindle afferent firing properties emerge from multiscale muscle mechanics |
title_sort | diverse and complex muscle spindle afferent firing properties emerge from multiscale muscle mechanics |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7769569/ https://www.ncbi.nlm.nih.gov/pubmed/33370235 http://dx.doi.org/10.7554/eLife.55177 |
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