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Neuron populations use variable combinations of short-term feedback mechanisms to stabilize firing rate

Neurons tightly regulate firing rate and a failure to do so leads to multiple neurological disorders. Therefore, a fundamental question in neuroscience is how neurons produce reliable activity patterns for decades to generate behavior. Neurons have built-in feedback mechanisms that allow them to mon...

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Autores principales: Pellizzari, Sarah, Hu, Min, Amaral-Silva, Lara, Saunders, Sandy E., Santin, Joseph M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9894548/
https://www.ncbi.nlm.nih.gov/pubmed/36689462
http://dx.doi.org/10.1371/journal.pbio.3001971
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author Pellizzari, Sarah
Hu, Min
Amaral-Silva, Lara
Saunders, Sandy E.
Santin, Joseph M.
author_facet Pellizzari, Sarah
Hu, Min
Amaral-Silva, Lara
Saunders, Sandy E.
Santin, Joseph M.
author_sort Pellizzari, Sarah
collection PubMed
description Neurons tightly regulate firing rate and a failure to do so leads to multiple neurological disorders. Therefore, a fundamental question in neuroscience is how neurons produce reliable activity patterns for decades to generate behavior. Neurons have built-in feedback mechanisms that allow them to monitor their output and rapidly stabilize firing rate. Most work emphasizes the role of a dominant feedback system within a neuronal population for the control of moment-to-moment firing. In contrast, we find that respiratory motoneurons use 2 activity-dependent controllers in unique combinations across cells, dynamic activation of an Na(+) pump subtype, and rapid potentiation of Kv7 channels. Both systems constrain firing rate by reducing excitability for up to a minute after a burst of action potentials but are recruited by different cellular signals associated with activity, increased intracellular Na(+) (the Na(+) pump), and membrane depolarization (Kv7 channels). Individual neurons do not simply contain equal amounts of each system. Rather, neurons under strong control of the Na(+) pump are weakly regulated by Kv7 enhancement and vice versa along a continuum. Thus, each motoneuron maintains its characteristic firing rate through a unique combination of the Na(+) pump and Kv7 channels, which are dynamically regulated by distinct feedback signals. These results reveal a new organizing strategy for stable circuit output involving multiple fast activity sensors scaled inversely across a neuronal population.
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spelling pubmed-98945482023-02-03 Neuron populations use variable combinations of short-term feedback mechanisms to stabilize firing rate Pellizzari, Sarah Hu, Min Amaral-Silva, Lara Saunders, Sandy E. Santin, Joseph M. PLoS Biol Short Reports Neurons tightly regulate firing rate and a failure to do so leads to multiple neurological disorders. Therefore, a fundamental question in neuroscience is how neurons produce reliable activity patterns for decades to generate behavior. Neurons have built-in feedback mechanisms that allow them to monitor their output and rapidly stabilize firing rate. Most work emphasizes the role of a dominant feedback system within a neuronal population for the control of moment-to-moment firing. In contrast, we find that respiratory motoneurons use 2 activity-dependent controllers in unique combinations across cells, dynamic activation of an Na(+) pump subtype, and rapid potentiation of Kv7 channels. Both systems constrain firing rate by reducing excitability for up to a minute after a burst of action potentials but are recruited by different cellular signals associated with activity, increased intracellular Na(+) (the Na(+) pump), and membrane depolarization (Kv7 channels). Individual neurons do not simply contain equal amounts of each system. Rather, neurons under strong control of the Na(+) pump are weakly regulated by Kv7 enhancement and vice versa along a continuum. Thus, each motoneuron maintains its characteristic firing rate through a unique combination of the Na(+) pump and Kv7 channels, which are dynamically regulated by distinct feedback signals. These results reveal a new organizing strategy for stable circuit output involving multiple fast activity sensors scaled inversely across a neuronal population. Public Library of Science 2023-01-23 /pmc/articles/PMC9894548/ /pubmed/36689462 http://dx.doi.org/10.1371/journal.pbio.3001971 Text en © 2023 Pellizzari et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Short Reports
Pellizzari, Sarah
Hu, Min
Amaral-Silva, Lara
Saunders, Sandy E.
Santin, Joseph M.
Neuron populations use variable combinations of short-term feedback mechanisms to stabilize firing rate
title Neuron populations use variable combinations of short-term feedback mechanisms to stabilize firing rate
title_full Neuron populations use variable combinations of short-term feedback mechanisms to stabilize firing rate
title_fullStr Neuron populations use variable combinations of short-term feedback mechanisms to stabilize firing rate
title_full_unstemmed Neuron populations use variable combinations of short-term feedback mechanisms to stabilize firing rate
title_short Neuron populations use variable combinations of short-term feedback mechanisms to stabilize firing rate
title_sort neuron populations use variable combinations of short-term feedback mechanisms to stabilize firing rate
topic Short Reports
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9894548/
https://www.ncbi.nlm.nih.gov/pubmed/36689462
http://dx.doi.org/10.1371/journal.pbio.3001971
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