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Dynamic Analysis of the Conditional Oscillator Underlying Slow Waves in Thalamocortical Neurons

During non-REM sleep the EEG shows characteristics waves that are generated by the dynamic interactions between cortical and thalamic oscillators. In thalamic neurons, low-threshold T-type Ca(2+) channels play a pivotal role in almost every type of neuronal oscillations, including slow (< 1 Hz) w...

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Autores principales: David, François, Crunelli, Vincenzo, Leresche, Nathalie, Lambert, Régis C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4766279/
https://www.ncbi.nlm.nih.gov/pubmed/26941611
http://dx.doi.org/10.3389/fncir.2016.00010
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author David, François
Crunelli, Vincenzo
Leresche, Nathalie
Lambert, Régis C.
author_facet David, François
Crunelli, Vincenzo
Leresche, Nathalie
Lambert, Régis C.
author_sort David, François
collection PubMed
description During non-REM sleep the EEG shows characteristics waves that are generated by the dynamic interactions between cortical and thalamic oscillators. In thalamic neurons, low-threshold T-type Ca(2+) channels play a pivotal role in almost every type of neuronal oscillations, including slow (< 1 Hz) waves, sleep spindles and delta waves. The transient opening of T channels gives rise to the low threshold spikes (LTSs), and associated high frequency bursts of action potentials, that are characteristically present during sleep spindles and delta waves, whereas the persistent opening of a small fraction of T channels, (i.e., I(Twindow)) is responsible for the membrane potential bistability underlying sleep slow oscillations. Surprisingly thalamocortical (TC) neurons express a very high density of T channels that largely exceed the amount required to generate LTSs and therefore, to support certain, if not all, sleep oscillations. Here, to clarify the relationship between T current density and sleep oscillations, we systematically investigated the impact of the T conductance level on the intrinsic rhythmic activities generated in TC neurons, combining in vitro experiments and TC neuron simulation. Using bifurcation analysis, we provide insights into the dynamical processes taking place at the transition between slow and delta oscillations. Our results show that although stable delta oscillations can be evoked with minimal T conductance, the full range of slow oscillation patterns, including groups of delta oscillations separated by Up states (“grouped-delta slow waves”) requires a high density of T channels. Moreover, high levels of T conductance ensure the robustness of different types of slow oscillations.
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spelling pubmed-47662792016-03-03 Dynamic Analysis of the Conditional Oscillator Underlying Slow Waves in Thalamocortical Neurons David, François Crunelli, Vincenzo Leresche, Nathalie Lambert, Régis C. Front Neural Circuits Neuroscience During non-REM sleep the EEG shows characteristics waves that are generated by the dynamic interactions between cortical and thalamic oscillators. In thalamic neurons, low-threshold T-type Ca(2+) channels play a pivotal role in almost every type of neuronal oscillations, including slow (< 1 Hz) waves, sleep spindles and delta waves. The transient opening of T channels gives rise to the low threshold spikes (LTSs), and associated high frequency bursts of action potentials, that are characteristically present during sleep spindles and delta waves, whereas the persistent opening of a small fraction of T channels, (i.e., I(Twindow)) is responsible for the membrane potential bistability underlying sleep slow oscillations. Surprisingly thalamocortical (TC) neurons express a very high density of T channels that largely exceed the amount required to generate LTSs and therefore, to support certain, if not all, sleep oscillations. Here, to clarify the relationship between T current density and sleep oscillations, we systematically investigated the impact of the T conductance level on the intrinsic rhythmic activities generated in TC neurons, combining in vitro experiments and TC neuron simulation. Using bifurcation analysis, we provide insights into the dynamical processes taking place at the transition between slow and delta oscillations. Our results show that although stable delta oscillations can be evoked with minimal T conductance, the full range of slow oscillation patterns, including groups of delta oscillations separated by Up states (“grouped-delta slow waves”) requires a high density of T channels. Moreover, high levels of T conductance ensure the robustness of different types of slow oscillations. Frontiers Media S.A. 2016-02-25 /pmc/articles/PMC4766279/ /pubmed/26941611 http://dx.doi.org/10.3389/fncir.2016.00010 Text en Copyright © 2016 David, Crunelli, Leresche and Lambert. 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
David, François
Crunelli, Vincenzo
Leresche, Nathalie
Lambert, Régis C.
Dynamic Analysis of the Conditional Oscillator Underlying Slow Waves in Thalamocortical Neurons
title Dynamic Analysis of the Conditional Oscillator Underlying Slow Waves in Thalamocortical Neurons
title_full Dynamic Analysis of the Conditional Oscillator Underlying Slow Waves in Thalamocortical Neurons
title_fullStr Dynamic Analysis of the Conditional Oscillator Underlying Slow Waves in Thalamocortical Neurons
title_full_unstemmed Dynamic Analysis of the Conditional Oscillator Underlying Slow Waves in Thalamocortical Neurons
title_short Dynamic Analysis of the Conditional Oscillator Underlying Slow Waves in Thalamocortical Neurons
title_sort dynamic analysis of the conditional oscillator underlying slow waves in thalamocortical neurons
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4766279/
https://www.ncbi.nlm.nih.gov/pubmed/26941611
http://dx.doi.org/10.3389/fncir.2016.00010
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