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A phenomenological computational model of the evoked action potential fitted to human cochlear implant responses

There is a growing interest in biomedical engineering in developing procedures that provide accurate simulations of the neural response to electrical stimulus produced by implants. Moreover, recent research focuses on models that take into account individual patient characteristics. We present a phe...

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Autores principales: Ramos-de-Miguel, Ángel, Escobar, José M., Greiner, David, Benítez, Domingo, Rodríguez, Eduardo, Oliver, Albert, Hernández, Marcos, Ramos-Macías, Ángel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9182662/
https://www.ncbi.nlm.nih.gov/pubmed/35622861
http://dx.doi.org/10.1371/journal.pcbi.1010134
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author Ramos-de-Miguel, Ángel
Escobar, José M.
Greiner, David
Benítez, Domingo
Rodríguez, Eduardo
Oliver, Albert
Hernández, Marcos
Ramos-Macías, Ángel
author_facet Ramos-de-Miguel, Ángel
Escobar, José M.
Greiner, David
Benítez, Domingo
Rodríguez, Eduardo
Oliver, Albert
Hernández, Marcos
Ramos-Macías, Ángel
author_sort Ramos-de-Miguel, Ángel
collection PubMed
description There is a growing interest in biomedical engineering in developing procedures that provide accurate simulations of the neural response to electrical stimulus produced by implants. Moreover, recent research focuses on models that take into account individual patient characteristics. We present a phenomenological computational model that is customized with the patient’s data provided by the electrically evoked compound action potential (ECAP) for simulating the neural response to electrical stimulus produced by the electrodes of cochlear implants (CIs). The model links the input currents of the electrodes to the simulated ECAP. Potentials and currents are calculated by solving the quasi-static approximation of the Maxwell equations with the finite element method (FEM). In ECAPs recording, an active electrode generates a current that elicits action potentials in the surrounding auditory nerve fibers (ANFs). The sum of these action potentials is registered by other nearby electrode. Our computational model emulates this phenomenon introducing a set of line current sources replacing the ANFs by a set of virtual neurons (VNs). To fit the ECAP amplitudes we assign a suitable weight to each VN related with the probability of an ANF to be excited. This probability is expressed by a cumulative beta distribution parameterized by two shape parameters that are calculated by means of a differential evolution algorithm (DE). Being the weights function of the current density, any change in the design of the CI affecting the current density produces changes in the weights and, therefore, in the simulated ECAP, which confers to our model a predictive capacity. The results of the validation with ECAP data from two patients are presented, achieving a satisfactory fit of the experimental data with those provided by the proposed computational model.
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spelling pubmed-91826622022-06-10 A phenomenological computational model of the evoked action potential fitted to human cochlear implant responses Ramos-de-Miguel, Ángel Escobar, José M. Greiner, David Benítez, Domingo Rodríguez, Eduardo Oliver, Albert Hernández, Marcos Ramos-Macías, Ángel PLoS Comput Biol Research Article There is a growing interest in biomedical engineering in developing procedures that provide accurate simulations of the neural response to electrical stimulus produced by implants. Moreover, recent research focuses on models that take into account individual patient characteristics. We present a phenomenological computational model that is customized with the patient’s data provided by the electrically evoked compound action potential (ECAP) for simulating the neural response to electrical stimulus produced by the electrodes of cochlear implants (CIs). The model links the input currents of the electrodes to the simulated ECAP. Potentials and currents are calculated by solving the quasi-static approximation of the Maxwell equations with the finite element method (FEM). In ECAPs recording, an active electrode generates a current that elicits action potentials in the surrounding auditory nerve fibers (ANFs). The sum of these action potentials is registered by other nearby electrode. Our computational model emulates this phenomenon introducing a set of line current sources replacing the ANFs by a set of virtual neurons (VNs). To fit the ECAP amplitudes we assign a suitable weight to each VN related with the probability of an ANF to be excited. This probability is expressed by a cumulative beta distribution parameterized by two shape parameters that are calculated by means of a differential evolution algorithm (DE). Being the weights function of the current density, any change in the design of the CI affecting the current density produces changes in the weights and, therefore, in the simulated ECAP, which confers to our model a predictive capacity. The results of the validation with ECAP data from two patients are presented, achieving a satisfactory fit of the experimental data with those provided by the proposed computational model. Public Library of Science 2022-05-27 /pmc/articles/PMC9182662/ /pubmed/35622861 http://dx.doi.org/10.1371/journal.pcbi.1010134 Text en © 2022 Ramos-de-Miguel et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ramos-de-Miguel, Ángel
Escobar, José M.
Greiner, David
Benítez, Domingo
Rodríguez, Eduardo
Oliver, Albert
Hernández, Marcos
Ramos-Macías, Ángel
A phenomenological computational model of the evoked action potential fitted to human cochlear implant responses
title A phenomenological computational model of the evoked action potential fitted to human cochlear implant responses
title_full A phenomenological computational model of the evoked action potential fitted to human cochlear implant responses
title_fullStr A phenomenological computational model of the evoked action potential fitted to human cochlear implant responses
title_full_unstemmed A phenomenological computational model of the evoked action potential fitted to human cochlear implant responses
title_short A phenomenological computational model of the evoked action potential fitted to human cochlear implant responses
title_sort phenomenological computational model of the evoked action potential fitted to human cochlear implant responses
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9182662/
https://www.ncbi.nlm.nih.gov/pubmed/35622861
http://dx.doi.org/10.1371/journal.pcbi.1010134
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