Cargando…
M-current modulation of cortical slow oscillations: Network dynamics and computational modeling
The slow oscillation is a synchronized network activity expressed by the cortical network in slow wave sleep and under anesthesia. Waking up requires a transition from this synchronized brain state to a desynchronized one. Cholinergic innervation is critical for the transition from slow-wave-sleep t...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10351697/ https://www.ncbi.nlm.nih.gov/pubmed/37405991 http://dx.doi.org/10.1371/journal.pcbi.1011246 |
_version_ | 1785074386019024896 |
---|---|
author | Dalla Porta, Leonardo Barbero-Castillo, Almudena Sanchez-Sanchez, Jose Manuel Sanchez-Vives, Maria V. |
author_facet | Dalla Porta, Leonardo Barbero-Castillo, Almudena Sanchez-Sanchez, Jose Manuel Sanchez-Vives, Maria V. |
author_sort | Dalla Porta, Leonardo |
collection | PubMed |
description | The slow oscillation is a synchronized network activity expressed by the cortical network in slow wave sleep and under anesthesia. Waking up requires a transition from this synchronized brain state to a desynchronized one. Cholinergic innervation is critical for the transition from slow-wave-sleep to wakefulness, and muscarinic action is largely exerted through the muscarinic-sensitive potassium current (M-current) block. We investigated the dynamical impact of blocking the M-current on slow oscillations, both in cortical slices and in a cortical network computational model. Blocking M-current resulted in an elongation of Up states (by four times) and in a significant firing rate increase, reflecting an increased network excitability, albeit no epileptiform discharges occurred. These effects were replicated in a biophysical cortical model, where a parametric reduction of the M-current resulted in a progressive elongation of Up states and firing rate. All neurons, and not only those modeled with M-current, increased their firing rates due to network recurrency. Further increases in excitability induced even longer Up states, approaching the microarousals described in the transition towards wakefulness. Our results bridge an ionic current with network modulation, providing a mechanistic insight into network dynamics of awakening. |
format | Online Article Text |
id | pubmed-10351697 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-103516972023-07-18 M-current modulation of cortical slow oscillations: Network dynamics and computational modeling Dalla Porta, Leonardo Barbero-Castillo, Almudena Sanchez-Sanchez, Jose Manuel Sanchez-Vives, Maria V. PLoS Comput Biol Research Article The slow oscillation is a synchronized network activity expressed by the cortical network in slow wave sleep and under anesthesia. Waking up requires a transition from this synchronized brain state to a desynchronized one. Cholinergic innervation is critical for the transition from slow-wave-sleep to wakefulness, and muscarinic action is largely exerted through the muscarinic-sensitive potassium current (M-current) block. We investigated the dynamical impact of blocking the M-current on slow oscillations, both in cortical slices and in a cortical network computational model. Blocking M-current resulted in an elongation of Up states (by four times) and in a significant firing rate increase, reflecting an increased network excitability, albeit no epileptiform discharges occurred. These effects were replicated in a biophysical cortical model, where a parametric reduction of the M-current resulted in a progressive elongation of Up states and firing rate. All neurons, and not only those modeled with M-current, increased their firing rates due to network recurrency. Further increases in excitability induced even longer Up states, approaching the microarousals described in the transition towards wakefulness. Our results bridge an ionic current with network modulation, providing a mechanistic insight into network dynamics of awakening. Public Library of Science 2023-07-05 /pmc/articles/PMC10351697/ /pubmed/37405991 http://dx.doi.org/10.1371/journal.pcbi.1011246 Text en © 2023 Dalla Porta 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 | Research Article Dalla Porta, Leonardo Barbero-Castillo, Almudena Sanchez-Sanchez, Jose Manuel Sanchez-Vives, Maria V. M-current modulation of cortical slow oscillations: Network dynamics and computational modeling |
title | M-current modulation of cortical slow oscillations: Network dynamics and computational modeling |
title_full | M-current modulation of cortical slow oscillations: Network dynamics and computational modeling |
title_fullStr | M-current modulation of cortical slow oscillations: Network dynamics and computational modeling |
title_full_unstemmed | M-current modulation of cortical slow oscillations: Network dynamics and computational modeling |
title_short | M-current modulation of cortical slow oscillations: Network dynamics and computational modeling |
title_sort | m-current modulation of cortical slow oscillations: network dynamics and computational modeling |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10351697/ https://www.ncbi.nlm.nih.gov/pubmed/37405991 http://dx.doi.org/10.1371/journal.pcbi.1011246 |
work_keys_str_mv | AT dallaportaleonardo mcurrentmodulationofcorticalslowoscillationsnetworkdynamicsandcomputationalmodeling AT barberocastilloalmudena mcurrentmodulationofcorticalslowoscillationsnetworkdynamicsandcomputationalmodeling AT sanchezsanchezjosemanuel mcurrentmodulationofcorticalslowoscillationsnetworkdynamicsandcomputationalmodeling AT sanchezvivesmariav mcurrentmodulationofcorticalslowoscillationsnetworkdynamicsandcomputationalmodeling |