Identification and modelling of fast and slow Ih current components in vestibular ganglion neurons.
Autor: | Michel CB; Computing Science & Mathematics, School of Natural Sciences, University of Stirling, Stirling, FK9 4LA, UK., Azevedo Coste C; DEMAR Team, INRIA/LIRMM, University of Montpellier, Montpellier Cedex 5, France., Desmadryl G; Institut National de la Sante et de la Recherche Medicale, Unite Mixte de Recherche 1051, Institut des Neurosciences de Montpellier, Montpellier, France.; Universite Montpellier 1 & 2, Montpellier, France., Puel JL; Institut National de la Sante et de la Recherche Medicale, Unite Mixte de Recherche 1051, Institut des Neurosciences de Montpellier, Montpellier, France.; Universite Montpellier 1 & 2, Montpellier, France., Bourien J; Institut National de la Sante et de la Recherche Medicale, Unite Mixte de Recherche 1051, Institut des Neurosciences de Montpellier, Montpellier, France.; Universite Montpellier 1 & 2, Montpellier, France., Graham BP; Computing Science & Mathematics, School of Natural Sciences, University of Stirling, Stirling, FK9 4LA, UK. |
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Jazyk: | angličtina |
Zdroj: | The European journal of neuroscience [Eur J Neurosci] 2015 Nov; Vol. 42 (10), pp. 2867-77. Date of Electronic Publication: 2015 Aug 06. |
DOI: | 10.1111/ejn.13021 |
Abstrakt: | Previous experimental data indicates the hyperpolarization-activated cation (Ih) 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 Ih 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 Ih 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. (© 2015 Federation of European Neuroscience Societies and John Wiley & Sons Ltd.) |
Databáze: | MEDLINE |
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