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Critical Points and Traveling Wave in Locomotion: Experimental Evidence and Some Theoretical Considerations
The central pattern generator (CPG) architecture for rhythm generation remains partly elusive. We compare cat and frog locomotion results, where the component unrelated to pattern formation appears as a temporal grid, and traveling wave respectively. Frog spinal cord microstimulation with N-methyl-D...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5727018/ https://www.ncbi.nlm.nih.gov/pubmed/29276476 http://dx.doi.org/10.3389/fncir.2017.00098 |
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author | Saltiel, Philippe d’Avella, Andrea Tresch, Matthew C. Wyler, Kuno Bizzi, Emilio |
author_facet | Saltiel, Philippe d’Avella, Andrea Tresch, Matthew C. Wyler, Kuno Bizzi, Emilio |
author_sort | Saltiel, Philippe |
collection | PubMed |
description | The central pattern generator (CPG) architecture for rhythm generation remains partly elusive. We compare cat and frog locomotion results, where the component unrelated to pattern formation appears as a temporal grid, and traveling wave respectively. Frog spinal cord microstimulation with N-methyl-D-Aspartate (NMDA), a CPG activator, produced a limited set of force directions, sometimes tonic, but more often alternating between directions similar to the tonic forces. The tonic forces were topographically organized, and sites evoking rhythms with different force subsets were located close to the constituent tonic force regions. Thus CPGs consist of topographically organized modules. Modularity was also identified as a limited set of muscle synergies whose combinations reconstructed the EMGs. The cat CPG was investigated using proprioceptive inputs during fictive locomotion. Critical points identified both as abrupt transitions in the effect of phasic perturbations, and burst shape transitions, had biomechanical correlates in intact locomotion. During tonic proprioceptive perturbations, discrete shifts between these critical points explained the burst durations changes, and amplitude changes occurred at one of these points. Besides confirming CPG modularity, these results suggest a fixed temporal grid of anchoring points, to shift modules onsets and offsets. Frog locomotion, reconstructed with the NMDA synergies, showed a partially overlapping synergy activation sequence. Using the early synergy output evoked by NMDA at different spinal sites, revealed a rostrocaudal topographic organization, where each synergy is preferentially evoked from a few, albeit overlapping, cord regions. Comparing the locomotor synergy sequence with this topography suggests that a rostrocaudal traveling wave would activate the synergies in the proper sequence for locomotion. This output was reproduced in a two-layer model using this topography and a traveling wave. Together our results suggest two CPG components: modules, i.e., synergies; and temporal patterning, seen as a temporal grid in the cat, and a traveling wave in the frog. Animal and limb navigation have similarities. Research relating grid cells to the theta rhythm and on segmentation during navigation may relate to our temporal grid and traveling wave results. Winfree’s mathematical work, combining critical phases and a traveling wave, also appears important. We conclude suggesting tracing, and imaging experiments to investigate our CPG model. |
format | Online Article Text |
id | pubmed-5727018 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-57270182017-12-22 Critical Points and Traveling Wave in Locomotion: Experimental Evidence and Some Theoretical Considerations Saltiel, Philippe d’Avella, Andrea Tresch, Matthew C. Wyler, Kuno Bizzi, Emilio Front Neural Circuits Neuroscience The central pattern generator (CPG) architecture for rhythm generation remains partly elusive. We compare cat and frog locomotion results, where the component unrelated to pattern formation appears as a temporal grid, and traveling wave respectively. Frog spinal cord microstimulation with N-methyl-D-Aspartate (NMDA), a CPG activator, produced a limited set of force directions, sometimes tonic, but more often alternating between directions similar to the tonic forces. The tonic forces were topographically organized, and sites evoking rhythms with different force subsets were located close to the constituent tonic force regions. Thus CPGs consist of topographically organized modules. Modularity was also identified as a limited set of muscle synergies whose combinations reconstructed the EMGs. The cat CPG was investigated using proprioceptive inputs during fictive locomotion. Critical points identified both as abrupt transitions in the effect of phasic perturbations, and burst shape transitions, had biomechanical correlates in intact locomotion. During tonic proprioceptive perturbations, discrete shifts between these critical points explained the burst durations changes, and amplitude changes occurred at one of these points. Besides confirming CPG modularity, these results suggest a fixed temporal grid of anchoring points, to shift modules onsets and offsets. Frog locomotion, reconstructed with the NMDA synergies, showed a partially overlapping synergy activation sequence. Using the early synergy output evoked by NMDA at different spinal sites, revealed a rostrocaudal topographic organization, where each synergy is preferentially evoked from a few, albeit overlapping, cord regions. Comparing the locomotor synergy sequence with this topography suggests that a rostrocaudal traveling wave would activate the synergies in the proper sequence for locomotion. This output was reproduced in a two-layer model using this topography and a traveling wave. Together our results suggest two CPG components: modules, i.e., synergies; and temporal patterning, seen as a temporal grid in the cat, and a traveling wave in the frog. Animal and limb navigation have similarities. Research relating grid cells to the theta rhythm and on segmentation during navigation may relate to our temporal grid and traveling wave results. Winfree’s mathematical work, combining critical phases and a traveling wave, also appears important. We conclude suggesting tracing, and imaging experiments to investigate our CPG model. Frontiers Media S.A. 2017-12-08 /pmc/articles/PMC5727018/ /pubmed/29276476 http://dx.doi.org/10.3389/fncir.2017.00098 Text en Copyright © 2017 Saltiel, d’Avella, Tresch, Wyler and Bizzi. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Saltiel, Philippe d’Avella, Andrea Tresch, Matthew C. Wyler, Kuno Bizzi, Emilio Critical Points and Traveling Wave in Locomotion: Experimental Evidence and Some Theoretical Considerations |
title | Critical Points and Traveling Wave in Locomotion: Experimental Evidence and Some Theoretical Considerations |
title_full | Critical Points and Traveling Wave in Locomotion: Experimental Evidence and Some Theoretical Considerations |
title_fullStr | Critical Points and Traveling Wave in Locomotion: Experimental Evidence and Some Theoretical Considerations |
title_full_unstemmed | Critical Points and Traveling Wave in Locomotion: Experimental Evidence and Some Theoretical Considerations |
title_short | Critical Points and Traveling Wave in Locomotion: Experimental Evidence and Some Theoretical Considerations |
title_sort | critical points and traveling wave in locomotion: experimental evidence and some theoretical considerations |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5727018/ https://www.ncbi.nlm.nih.gov/pubmed/29276476 http://dx.doi.org/10.3389/fncir.2017.00098 |
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