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Identification and modelling of fast and slow I (h) current components in vestibular ganglion neurons

Previous experimental data indicates the hyperpolarization‐activated cation (I (h)) current, in the inner ear, consists of two components [different hyperpolarization‐activated cyclic nucleotide‐gated (HCN) subunits] which are impossible to pharmacologically isolate. To confirm the presence of these...

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Autores principales: Michel, Christophe B., Azevedo Coste, Christine, Desmadryl, Gilles, Puel, Jean‐Luc, Bourien, Jerome, Graham, Bruce P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4986932/
https://www.ncbi.nlm.nih.gov/pubmed/26174408
http://dx.doi.org/10.1111/ejn.13021
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author Michel, Christophe B.
Azevedo Coste, Christine
Desmadryl, Gilles
Puel, Jean‐Luc
Bourien, Jerome
Graham, Bruce P.
author_facet Michel, Christophe B.
Azevedo Coste, Christine
Desmadryl, Gilles
Puel, Jean‐Luc
Bourien, Jerome
Graham, Bruce P.
author_sort Michel, Christophe B.
collection PubMed
description Previous experimental data indicates the hyperpolarization‐activated cation (I (h)) current, in the inner ear, consists of two components [different hyperpolarization‐activated cyclic nucleotide‐gated (HCN) subunits] which are impossible to pharmacologically isolate. To confirm the presence of these two components in vestibular ganglion neurons we have applied a parameter identification algorithm which is able to discriminate the parameters of the two components from experimental data. Using simulated data we have shown that this algorithm is able to identify the parameters of two populations of non‐inactivated ionic channels more accurately than a classical method. Moreover, the algorithm was demonstrated to be insensitive to the key parameter variations. We then applied this algorithm to I (h) current recordings from mouse vestibular ganglion neurons. The algorithm revealed the presence of a high‐voltage‐activated slow component and a low‐voltage‐activated fast component. Finally, the electrophysiological significance of these two I (h) components was tested individually in computational vestibular ganglion neuron models (sustained and transient), in the control case and in the presence of cAMP, an intracellular cyclic nucleotide that modulates HCN channel activity. The results suggest that, first, the fast and slow components modulate differently the action potential excitability and the excitatory postsynaptic potentials in both sustained and transient vestibular neurons and, second, the fast and slow components, in the control case, provide different information about characteristics of the stimulation and this information is significantly modified after modulation by cAMP.
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spelling pubmed-49869322016-08-30 Identification and modelling of fast and slow I (h) current components in vestibular ganglion neurons Michel, Christophe B. Azevedo Coste, Christine Desmadryl, Gilles Puel, Jean‐Luc Bourien, Jerome Graham, Bruce P. Eur J Neurosci Computational Neuroscience Previous experimental data indicates the hyperpolarization‐activated cation (I (h)) current, in the inner ear, consists of two components [different hyperpolarization‐activated cyclic nucleotide‐gated (HCN) subunits] which are impossible to pharmacologically isolate. To confirm the presence of these two components in vestibular ganglion neurons we have applied a parameter identification algorithm which is able to discriminate the parameters of the two components from experimental data. Using simulated data we have shown that this algorithm is able to identify the parameters of two populations of non‐inactivated ionic channels more accurately than a classical method. Moreover, the algorithm was demonstrated to be insensitive to the key parameter variations. We then applied this algorithm to I (h) current recordings from mouse vestibular ganglion neurons. The algorithm revealed the presence of a high‐voltage‐activated slow component and a low‐voltage‐activated fast component. Finally, the electrophysiological significance of these two I (h) components was tested individually in computational vestibular ganglion neuron models (sustained and transient), in the control case and in the presence of cAMP, an intracellular cyclic nucleotide that modulates HCN channel activity. The results suggest that, first, the fast and slow components modulate differently the action potential excitability and the excitatory postsynaptic potentials in both sustained and transient vestibular neurons and, second, the fast and slow components, in the control case, provide different information about characteristics of the stimulation and this information is significantly modified after modulation by cAMP. John Wiley and Sons Inc. 2015-08-06 2015-11 /pmc/articles/PMC4986932/ /pubmed/26174408 http://dx.doi.org/10.1111/ejn.13021 Text en © 2015 The Authors. European Journal of Neuroscience published by Federation of European Neuroscience Societies and John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Computational Neuroscience
Michel, Christophe B.
Azevedo Coste, Christine
Desmadryl, Gilles
Puel, Jean‐Luc
Bourien, Jerome
Graham, Bruce P.
Identification and modelling of fast and slow I (h) current components in vestibular ganglion neurons
title Identification and modelling of fast and slow I (h) current components in vestibular ganglion neurons
title_full Identification and modelling of fast and slow I (h) current components in vestibular ganglion neurons
title_fullStr Identification and modelling of fast and slow I (h) current components in vestibular ganglion neurons
title_full_unstemmed Identification and modelling of fast and slow I (h) current components in vestibular ganglion neurons
title_short Identification and modelling of fast and slow I (h) current components in vestibular ganglion neurons
title_sort identification and modelling of fast and slow i (h) current components in vestibular ganglion neurons
topic Computational Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4986932/
https://www.ncbi.nlm.nih.gov/pubmed/26174408
http://dx.doi.org/10.1111/ejn.13021
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