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Neural Interactions in Developing Rhythmogenic Spinal Networks: Insights From Computational Modeling

The mechanisms involved in generation of rhythmic locomotor activity in the mammalian spinal cord remain poorly understood. These mechanisms supposedly rely on both intrinsic properties of constituting neurons and interactions between them. A subset of Shox2 neurons was suggested to contribute to ge...

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Autores principales: Shevtsova, Natalia A., Ha, Ngoc T., Rybak, Ilya A., Dougherty, Kimberly J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787004/
https://www.ncbi.nlm.nih.gov/pubmed/33424558
http://dx.doi.org/10.3389/fncir.2020.614615
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author Shevtsova, Natalia A.
Ha, Ngoc T.
Rybak, Ilya A.
Dougherty, Kimberly J.
author_facet Shevtsova, Natalia A.
Ha, Ngoc T.
Rybak, Ilya A.
Dougherty, Kimberly J.
author_sort Shevtsova, Natalia A.
collection PubMed
description The mechanisms involved in generation of rhythmic locomotor activity in the mammalian spinal cord remain poorly understood. These mechanisms supposedly rely on both intrinsic properties of constituting neurons and interactions between them. A subset of Shox2 neurons was suggested to contribute to generation of spinal locomotor activity, but the possible cellular basis for rhythmic bursting in these neurons remains unknown. Ha and Dougherty (2018) recently revealed the presence of bidirectional electrical coupling between Shox2 neurons in neonatal spinal cords, which can be critically involved in neuronal synchronization and generation of populational bursting. Gap junctional connections found between functionally-related Shox2 interneurons decrease with age, possibly being replaced by increasing interactions through chemical synapses. Here, we developed a computational model of a heterogeneous population of neurons sparsely connected by electrical or/and chemical synapses and investigated the dependence of frequency of populational bursting on the type and strength of neuronal interconnections. The model proposes a mechanistic explanation that can account for the emergence of a synchronized rhythmic activity in the neuronal population and provides insights into the possible role of gap junctional coupling between Shox2 neurons in the spinal mechanisms for locomotor rhythm generation.
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spelling pubmed-77870042021-01-07 Neural Interactions in Developing Rhythmogenic Spinal Networks: Insights From Computational Modeling Shevtsova, Natalia A. Ha, Ngoc T. Rybak, Ilya A. Dougherty, Kimberly J. Front Neural Circuits Neuroscience The mechanisms involved in generation of rhythmic locomotor activity in the mammalian spinal cord remain poorly understood. These mechanisms supposedly rely on both intrinsic properties of constituting neurons and interactions between them. A subset of Shox2 neurons was suggested to contribute to generation of spinal locomotor activity, but the possible cellular basis for rhythmic bursting in these neurons remains unknown. Ha and Dougherty (2018) recently revealed the presence of bidirectional electrical coupling between Shox2 neurons in neonatal spinal cords, which can be critically involved in neuronal synchronization and generation of populational bursting. Gap junctional connections found between functionally-related Shox2 interneurons decrease with age, possibly being replaced by increasing interactions through chemical synapses. Here, we developed a computational model of a heterogeneous population of neurons sparsely connected by electrical or/and chemical synapses and investigated the dependence of frequency of populational bursting on the type and strength of neuronal interconnections. The model proposes a mechanistic explanation that can account for the emergence of a synchronized rhythmic activity in the neuronal population and provides insights into the possible role of gap junctional coupling between Shox2 neurons in the spinal mechanisms for locomotor rhythm generation. Frontiers Media S.A. 2020-12-23 /pmc/articles/PMC7787004/ /pubmed/33424558 http://dx.doi.org/10.3389/fncir.2020.614615 Text en Copyright © 2020 Shevtsova, Ha, Rybak and Dougherty. 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) and the copyright owner(s) 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
Shevtsova, Natalia A.
Ha, Ngoc T.
Rybak, Ilya A.
Dougherty, Kimberly J.
Neural Interactions in Developing Rhythmogenic Spinal Networks: Insights From Computational Modeling
title Neural Interactions in Developing Rhythmogenic Spinal Networks: Insights From Computational Modeling
title_full Neural Interactions in Developing Rhythmogenic Spinal Networks: Insights From Computational Modeling
title_fullStr Neural Interactions in Developing Rhythmogenic Spinal Networks: Insights From Computational Modeling
title_full_unstemmed Neural Interactions in Developing Rhythmogenic Spinal Networks: Insights From Computational Modeling
title_short Neural Interactions in Developing Rhythmogenic Spinal Networks: Insights From Computational Modeling
title_sort neural interactions in developing rhythmogenic spinal networks: insights from computational modeling
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787004/
https://www.ncbi.nlm.nih.gov/pubmed/33424558
http://dx.doi.org/10.3389/fncir.2020.614615
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