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Electrical Stimulation in the Human Cochlea: A Computational Study Based on High-Resolution Micro-CT Scans

Background: Many detailed features of the cochlear anatomy have not been included in existing 3D cochlear models, including the microstructures inside the modiolar bone, which in turn determines the path of auditory nerve fibers (ANFs). Method: We captured the intricate modiolar microstructures in a...

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Autores principales: Bai, Siwei, Encke, Jörg, Obando-Leitón, Miguel, Weiß, Robin, Schäfer, Friederike, Eberharter, Jakob, Böhnke, Frank, Hemmert, Werner
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6915103/
https://www.ncbi.nlm.nih.gov/pubmed/31920482
http://dx.doi.org/10.3389/fnins.2019.01312
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author Bai, Siwei
Encke, Jörg
Obando-Leitón, Miguel
Weiß, Robin
Schäfer, Friederike
Eberharter, Jakob
Böhnke, Frank
Hemmert, Werner
author_facet Bai, Siwei
Encke, Jörg
Obando-Leitón, Miguel
Weiß, Robin
Schäfer, Friederike
Eberharter, Jakob
Böhnke, Frank
Hemmert, Werner
author_sort Bai, Siwei
collection PubMed
description Background: Many detailed features of the cochlear anatomy have not been included in existing 3D cochlear models, including the microstructures inside the modiolar bone, which in turn determines the path of auditory nerve fibers (ANFs). Method: We captured the intricate modiolar microstructures in a 3D human cochlea model reconstructed from μCT scans. A new algorithm was developed to reconstruct ANFs running through the microstructures within the model. Using the finite element method, we calculated the electrical potential as well as its first and second spatial derivatives along each ANF elicited by the cochlear implant electrodes. Simulation results of electrical potential was validated against intracochlear potential measurements. Comparison was then made with a simplified model without the microstructures within the cochlea. Results: When the stimulus was delivered from an electrode located deeper in the apex, the extent of the auditory nerve influenced by a higher electric potential grew larger; at the same time, the maximal potential value at the auditory nerve also became larger. The electric potential decayed at a faster rate toward the base of the cochlea than toward the apex. Compared to the cochlear model incorporating the modiolar microstructures, the simplified version resulted in relatively small differences in electric potential. However, in terms of the first and second derivatives of electric potential along the fibers, which are relevant for the initiation of action potentials, the two models exhibited large differences: maxima in both derivatives with the detailed model were larger by a factor of 1.5 (first derivative) and 2 (second derivative) in the exemplary fibers. More importantly, these maxima occurred at different locations, and opposite signs were found for the values of second derivatives between the two models at parts along the fibers. Hence, while one model predicts depolarization and spike initiation at a given location, the other may instead predict a hyperpolarization. Conclusions: Although a cochlear model with fewer details seems sufficient for analysing the current spread in the cochlear ducts, a detailed-segmented cochlear model is required for the reconstruction of ANF trajectories through the modiolus, as well as the prediction of firing thresholds and spike initiation sites.
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spelling pubmed-69151032020-01-09 Electrical Stimulation in the Human Cochlea: A Computational Study Based on High-Resolution Micro-CT Scans Bai, Siwei Encke, Jörg Obando-Leitón, Miguel Weiß, Robin Schäfer, Friederike Eberharter, Jakob Böhnke, Frank Hemmert, Werner Front Neurosci Neuroscience Background: Many detailed features of the cochlear anatomy have not been included in existing 3D cochlear models, including the microstructures inside the modiolar bone, which in turn determines the path of auditory nerve fibers (ANFs). Method: We captured the intricate modiolar microstructures in a 3D human cochlea model reconstructed from μCT scans. A new algorithm was developed to reconstruct ANFs running through the microstructures within the model. Using the finite element method, we calculated the electrical potential as well as its first and second spatial derivatives along each ANF elicited by the cochlear implant electrodes. Simulation results of electrical potential was validated against intracochlear potential measurements. Comparison was then made with a simplified model without the microstructures within the cochlea. Results: When the stimulus was delivered from an electrode located deeper in the apex, the extent of the auditory nerve influenced by a higher electric potential grew larger; at the same time, the maximal potential value at the auditory nerve also became larger. The electric potential decayed at a faster rate toward the base of the cochlea than toward the apex. Compared to the cochlear model incorporating the modiolar microstructures, the simplified version resulted in relatively small differences in electric potential. However, in terms of the first and second derivatives of electric potential along the fibers, which are relevant for the initiation of action potentials, the two models exhibited large differences: maxima in both derivatives with the detailed model were larger by a factor of 1.5 (first derivative) and 2 (second derivative) in the exemplary fibers. More importantly, these maxima occurred at different locations, and opposite signs were found for the values of second derivatives between the two models at parts along the fibers. Hence, while one model predicts depolarization and spike initiation at a given location, the other may instead predict a hyperpolarization. Conclusions: Although a cochlear model with fewer details seems sufficient for analysing the current spread in the cochlear ducts, a detailed-segmented cochlear model is required for the reconstruction of ANF trajectories through the modiolus, as well as the prediction of firing thresholds and spike initiation sites. Frontiers Media S.A. 2019-12-05 /pmc/articles/PMC6915103/ /pubmed/31920482 http://dx.doi.org/10.3389/fnins.2019.01312 Text en Copyright © 2019 Bai, Encke, Obando-Leitón, Weiß, Schäfer, Eberharter, Böhnke and Hemmert. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Bai, Siwei
Encke, Jörg
Obando-Leitón, Miguel
Weiß, Robin
Schäfer, Friederike
Eberharter, Jakob
Böhnke, Frank
Hemmert, Werner
Electrical Stimulation in the Human Cochlea: A Computational Study Based on High-Resolution Micro-CT Scans
title Electrical Stimulation in the Human Cochlea: A Computational Study Based on High-Resolution Micro-CT Scans
title_full Electrical Stimulation in the Human Cochlea: A Computational Study Based on High-Resolution Micro-CT Scans
title_fullStr Electrical Stimulation in the Human Cochlea: A Computational Study Based on High-Resolution Micro-CT Scans
title_full_unstemmed Electrical Stimulation in the Human Cochlea: A Computational Study Based on High-Resolution Micro-CT Scans
title_short Electrical Stimulation in the Human Cochlea: A Computational Study Based on High-Resolution Micro-CT Scans
title_sort electrical stimulation in the human cochlea: a computational study based on high-resolution micro-ct scans
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6915103/
https://www.ncbi.nlm.nih.gov/pubmed/31920482
http://dx.doi.org/10.3389/fnins.2019.01312
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