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A Computational Model of a Single Auditory Nerve Fiber for Electric-Acoustic Stimulation

Cochlear implant (CI) recipients with preserved acoustic low-frequency hearing in the implanted ear are a growing group among traditional CI users who benefit from hybrid electric-acoustic stimulation (EAS). However, combined ipsilateral electric and acoustic stimulation also introduces interactions...

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Autores principales: Kipping, Daniel, Nogueira, Waldo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9789289/
https://www.ncbi.nlm.nih.gov/pubmed/36333573
http://dx.doi.org/10.1007/s10162-022-00870-2
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author Kipping, Daniel
Nogueira, Waldo
author_facet Kipping, Daniel
Nogueira, Waldo
author_sort Kipping, Daniel
collection PubMed
description Cochlear implant (CI) recipients with preserved acoustic low-frequency hearing in the implanted ear are a growing group among traditional CI users who benefit from hybrid electric-acoustic stimulation (EAS). However, combined ipsilateral electric and acoustic stimulation also introduces interactions between the two modalities that can affect the performance of EAS users. A computational model of a single auditory nerve fiber that is excited by EAS was developed to study the interaction between electric and acoustic stimulation. Two existing models of sole electric or acoustic stimulation were coupled to simulate responses to combined EAS. Different methods of combining both models were implemented. In the coupled model variant, the refractoriness of the simulated fiber leads to suppressive interaction between electrically evoked and acoustically evoked spikes as well as spontaneous activity. The second model variant is an uncoupled EAS model without electric-acoustic interaction. By comparing predictions between the coupled and the noninteracting EAS model, it was possible to infer electric-acoustic interaction at the level of the auditory nerve. The EAS model was used to simulate fiber populations with realistic inter-unit variability, where each unit was represented by the single-fiber model. Predicted thresholds and dynamic ranges, spike rates, latencies, jitter, and vector strengths were compared to empirical data. The presented EAS model provides a framework for future studies of peripheral electric-acoustic interaction. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10162-022-00870-2.
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spelling pubmed-97892892022-12-25 A Computational Model of a Single Auditory Nerve Fiber for Electric-Acoustic Stimulation Kipping, Daniel Nogueira, Waldo J Assoc Res Otolaryngol Research Article Cochlear implant (CI) recipients with preserved acoustic low-frequency hearing in the implanted ear are a growing group among traditional CI users who benefit from hybrid electric-acoustic stimulation (EAS). However, combined ipsilateral electric and acoustic stimulation also introduces interactions between the two modalities that can affect the performance of EAS users. A computational model of a single auditory nerve fiber that is excited by EAS was developed to study the interaction between electric and acoustic stimulation. Two existing models of sole electric or acoustic stimulation were coupled to simulate responses to combined EAS. Different methods of combining both models were implemented. In the coupled model variant, the refractoriness of the simulated fiber leads to suppressive interaction between electrically evoked and acoustically evoked spikes as well as spontaneous activity. The second model variant is an uncoupled EAS model without electric-acoustic interaction. By comparing predictions between the coupled and the noninteracting EAS model, it was possible to infer electric-acoustic interaction at the level of the auditory nerve. The EAS model was used to simulate fiber populations with realistic inter-unit variability, where each unit was represented by the single-fiber model. Predicted thresholds and dynamic ranges, spike rates, latencies, jitter, and vector strengths were compared to empirical data. The presented EAS model provides a framework for future studies of peripheral electric-acoustic interaction. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10162-022-00870-2. Springer US 2022-11-04 2022-12 /pmc/articles/PMC9789289/ /pubmed/36333573 http://dx.doi.org/10.1007/s10162-022-00870-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Kipping, Daniel
Nogueira, Waldo
A Computational Model of a Single Auditory Nerve Fiber for Electric-Acoustic Stimulation
title A Computational Model of a Single Auditory Nerve Fiber for Electric-Acoustic Stimulation
title_full A Computational Model of a Single Auditory Nerve Fiber for Electric-Acoustic Stimulation
title_fullStr A Computational Model of a Single Auditory Nerve Fiber for Electric-Acoustic Stimulation
title_full_unstemmed A Computational Model of a Single Auditory Nerve Fiber for Electric-Acoustic Stimulation
title_short A Computational Model of a Single Auditory Nerve Fiber for Electric-Acoustic Stimulation
title_sort computational model of a single auditory nerve fiber for electric-acoustic stimulation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9789289/
https://www.ncbi.nlm.nih.gov/pubmed/36333573
http://dx.doi.org/10.1007/s10162-022-00870-2
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