Cargando…
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...
Autores principales: | , , , , , , , |
---|---|
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 |
_version_ | 1784724090607632384 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9182662 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT ramosdemiguelangel aphenomenologicalcomputationalmodeloftheevokedactionpotentialfittedtohumancochlearimplantresponses AT escobarjosem aphenomenologicalcomputationalmodeloftheevokedactionpotentialfittedtohumancochlearimplantresponses AT greinerdavid aphenomenologicalcomputationalmodeloftheevokedactionpotentialfittedtohumancochlearimplantresponses AT benitezdomingo aphenomenologicalcomputationalmodeloftheevokedactionpotentialfittedtohumancochlearimplantresponses AT rodriguezeduardo aphenomenologicalcomputationalmodeloftheevokedactionpotentialfittedtohumancochlearimplantresponses AT oliveralbert aphenomenologicalcomputationalmodeloftheevokedactionpotentialfittedtohumancochlearimplantresponses AT hernandezmarcos aphenomenologicalcomputationalmodeloftheevokedactionpotentialfittedtohumancochlearimplantresponses AT ramosmaciasangel aphenomenologicalcomputationalmodeloftheevokedactionpotentialfittedtohumancochlearimplantresponses AT ramosdemiguelangel phenomenologicalcomputationalmodeloftheevokedactionpotentialfittedtohumancochlearimplantresponses AT escobarjosem phenomenologicalcomputationalmodeloftheevokedactionpotentialfittedtohumancochlearimplantresponses AT greinerdavid phenomenologicalcomputationalmodeloftheevokedactionpotentialfittedtohumancochlearimplantresponses AT benitezdomingo phenomenologicalcomputationalmodeloftheevokedactionpotentialfittedtohumancochlearimplantresponses AT rodriguezeduardo phenomenologicalcomputationalmodeloftheevokedactionpotentialfittedtohumancochlearimplantresponses AT oliveralbert phenomenologicalcomputationalmodeloftheevokedactionpotentialfittedtohumancochlearimplantresponses AT hernandezmarcos phenomenologicalcomputationalmodeloftheevokedactionpotentialfittedtohumancochlearimplantresponses AT ramosmaciasangel phenomenologicalcomputationalmodeloftheevokedactionpotentialfittedtohumancochlearimplantresponses |