Literature DB >> 19163972

Effects of I(h) and I(KLT) on the response of the auditory nerve to electrical stimulation in a stochastic Hodgkin-Huxley model.

Mohamed H Negm1, Ian C Bruce.   

Abstract

An accurate model of auditory nerve fibers (ANFs) would help in improving cochlear implant (CI) functionality. Previous studies have shown that the original Hodgkin-Huxley (1952) model (with kinetics adjusted for mammalian body temperature) may be better at describing nodes of Ranvier in ANFs than models for other mammalian axon types. However, the HH model is still unable to explain a number of phenomena observed in auditory nerve responses to CI stimulation such as long-term accommodation, adaptation and the time-course of relative refractoriness. Recent physiological investigations of spiral ganglion cells have shown the presence of a number of ion channel types not considered in the previous modeling studies, including low-threshold potassium (I(KLT)) channels and hyperpolarization-activated cation (I(h)) channels. In this paper we investigate inclusion of these ion channel types in a stochastic HH model. For single biphasic charge-balanced pulse, an increase in spike threshold was typically produced by inclusion of one or both of these channel types. The addition of I(KLT) increases random threshold fluctuations in the stochastic model, particularly for longer pulse widths. Pulse-train responses were investigated for pulse rates of 200, 800, and 2000 pulse/s. Initial results suggests that both the I(KLT) channels and I(h) channels can produce adaptation in the spike rate. However, the adaptation due to I(KLT) is restricted to higher stimulation rates, whereas the adaptation due to I(h) is observed across all stimulation rates.

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Year:  2008        PMID: 19163972     DOI: 10.1109/IEMBS.2008.4650469

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  8 in total

1.  A point process framework for modeling electrical stimulation of the auditory nerve.

Authors:  Joshua H Goldwyn; Jay T Rubinstein; Eric Shea-Brown
Journal:  J Neurophysiol       Date:  2012-06-06       Impact factor: 2.714

2.  Neural masking by sub-threshold electric stimuli: animal and computer model results.

Authors:  Charles A Miller; Jihwan Woo; Paul J Abbas; Ning Hu; Barbara K Robinson
Journal:  J Assoc Res Otolaryngol       Date:  2010-11-16

Review 3.  Temporal Considerations for Stimulating Spiral Ganglion Neurons with Cochlear Implants.

Authors:  Jason Boulet; Mark White; Ian C Bruce
Journal:  J Assoc Res Otolaryngol       Date:  2016-02

4.  Predictions of the Contribution of HCN Half-Maximal Activation Potential Heterogeneity to Variability in Intrinsic Adaptation of Spiral Ganglion Neurons.

Authors:  Jason Boulet; Ian C Bruce
Journal:  J Assoc Res Otolaryngol       Date:  2016-12-09

5.  Stochastic differential equation models for ion channel noise in Hodgkin-Huxley neurons.

Authors:  Joshua H Goldwyn; Nikita S Imennov; Michael Famulare; Eric Shea-Brown
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2011-04-11

6.  A Phenomenological Model of the Electrically Stimulated Auditory Nerve Fiber: Temporal and Biphasic Response Properties.

Authors:  Colin D F Horne; Christian J Sumner; Bernhard U Seeber
Journal:  Front Comput Neurosci       Date:  2016-02-08       Impact factor: 2.380

7.  Impact of morphometry, myelinization and synaptic current strength on spike conduction in human and cat spiral ganglion neurons.

Authors:  Frank Rattay; Thomas Potrusil; Cornelia Wenger; Andrew K Wise; Rudolf Glueckert; Anneliese Schrott-Fischer
Journal:  PLoS One       Date:  2013-11-08       Impact factor: 3.240

8.  Peak I of the human auditory brainstem response results from the somatic regions of type I spiral ganglion cells: evidence from computer modeling.

Authors:  Frank Rattay; Simon M Danner
Journal:  Hear Res       Date:  2014-07-11       Impact factor: 3.208

  8 in total

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