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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2015
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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. |
format | Online Article Text |
id | pubmed-4986932 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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