Literature DB >> 8567435

Potential distributions and neural excitation patterns in a rotationally symmetric model of the electrically stimulated cochlea.

J H Frijns1, S L de Snoo, R Schoonhoven.   

Abstract

In spite of many satisfactory results, the clinical outcome of cochlear implantation is poorly predictable and further insight into the fundamentals of electrical nerve stimulation in this complex geometry is necessary. For this purpose we developed a rotationally symmetric volume conductor model of the implanted cochlea, using the Boundary Element Method (BEM). This configuration mimics the cochlear anatomy more closely than previous, unrolled models. The calculated potential distribution in the cochlea due to stimulating electrodes is combined with a multiple non-linear node model of auditory nerve fibres, which we recently developed. The combined model is used to compute excitation profiles of the auditory nerve for a variety of stimulus levels and electrode positions. The model predicts that the excitation threshold, the spatial selectivity and the dynamic range depend on the exact position of the electrode in the scala tympani. These results are in good agreement with recently published electrical ABR data. It is shown that the use of actively modelled nerve fibres is essential to obtain correct predictions for the biphasic stimuli typically used in cochlear implants and that unrolling the cochlear duct as done in previous models leads to erroneous predictions regarding modiolar stimulation.

Mesh:

Year:  1995        PMID: 8567435     DOI: 10.1016/0378-5955(95)00090-q

Source DB:  PubMed          Journal:  Hear Res        ISSN: 0378-5955            Impact factor:   3.208


  33 in total

1.  Evaluation of a high-resolution patient-specific model of the electrically stimulated cochlea.

Authors:  Ahmet Cakir; Robert T Dwyer; Jack H Noble
Journal:  J Med Imaging (Bellingham)       Date:  2017-06-14

2.  Encoding and decoding amplitude-modulated cochlear implant stimuli--a point process analysis.

Authors:  Joshua H Goldwyn; Eric Shea-Brown; Jay T Rubinstein
Journal:  J Comput Neurosci       Date:  2010-02-23       Impact factor: 1.621

3.  Topographic spread of inferior colliculus activation in response to acoustic and intracochlear electric stimulation.

Authors:  Russell L Snyder; Julie A Bierer; John C Middlebrooks
Journal:  J Assoc Res Otolaryngol       Date:  2004-08-12

4.  Modelling encapsulation tissue around cochlear implant electrodes.

Authors:  T Hanekom
Journal:  Med Biol Eng Comput       Date:  2005-01       Impact factor: 2.602

5.  Psychophysical metrics and speech recognition in cochlear implant users.

Authors:  Bryan E Pfingst; Li Xu
Journal:  Audiol Neurootol       Date:  2005-08-05       Impact factor: 1.854

6.  Frequency map for the human cochlear spiral ganglion: implications for cochlear implants.

Authors:  Olga Stakhovskaya; Divya Sridhar; Ben H Bonham; Patricia A Leake
Journal:  J Assoc Res Otolaryngol       Date:  2007-02-21

7.  Spatial channel interactions in cochlear implants.

Authors:  Qing Tang; Raul Benítez; Fan-Gang Zeng
Journal:  J Neural Eng       Date:  2011-07-13       Impact factor: 5.379

8.  Cochlear implant electrode configuration effects on activation threshold and tonotopic selectivity.

Authors:  Russell L Snyder; John C Middlebrooks; Ben H Bonham
Journal:  Hear Res       Date:  2007-10-11       Impact factor: 3.208

9.  Psychophysical versus physiological spatial forward masking and the relation to speech perception in cochlear implants.

Authors:  Michelle L Hughes; Lisa J Stille
Journal:  Ear Hear       Date:  2008-06       Impact factor: 3.570

10.  Psychophysical and physiological measures of electrical-field interaction in cochlear implants.

Authors:  Michelle L Hughes; Lisa J Stille
Journal:  J Acoust Soc Am       Date:  2009-01       Impact factor: 1.840

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