Literature DB >> 26074305

The effect of the resistive properties of bone on neural excitation and electric fields in cochlear implant models.

T K Malherbe1, T Hanekom2, J J Hanekom1.   

Abstract

The resistivity of bone is the most variable of all the tissues in the human body, ranging from 312 Ω cm to 84,745 Ω cm. Volume conduction models of cochlear implants have generally used a resistivity value of 641 Ω cm for the bone surrounding the cochlea. This study investigated the effect that bone resistivity has on modelled neural thresholds and intracochlear potentials using user-specific volume conduction models of implanted cochleae applying monopolar stimulation. The complexity of the description of the head volume enveloping the cochlea was varied between a simple infinite bone volume and a detailed skull containing a brain volume, scalp and accurate return electrode position. It was found that, depending on the structure of the head model and implementation of the return electrode, different bone resistivity values are necessary to match model predictions to data from literature. Modelled forward-masked spatial tuning curve (fmSTC) widths and slopes and intracochlear electric field profile length constants were obtained for a range of bone resistivity values for the various head models. The predictions were compared to measurements found in literature. It was concluded that, depending on the head model, a bone resistivity value between 3500 Ω cm and 10,500 Ω cm allows prediction of neural and electrical responses that match measured data. A general recommendation is made to use a resistivity value of approximately 10,000 Ω cm for bone volumes in conduction models of the implanted cochlea when neural excitation is predicted and a value of approximately 6500 Ω cm when predicting electric fields inside the cochlear duct.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bone resistivity; Cochlear implant; EFI; FEM; Forward masked spatial tuning curves; Intracochlear potentials; Neural excitation; Skull model; Subject specific; Volume conduction model

Mesh:

Year:  2015        PMID: 26074305     DOI: 10.1016/j.heares.2015.06.003

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


  5 in total

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Authors:  Albert M Croner; Amirreza Heshmat; Anneliese Schrott-Fischer; Rudolf Glueckert; Werner Hemmert; Siwei Bai
Journal:  Front Neurosci       Date:  2022-07-06       Impact factor: 5.152

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

Authors:  Ángel Ramos-de-Miguel; José M Escobar; David Greiner; Domingo Benítez; Eduardo Rodríguez; Albert Oliver; Marcos Hernández; Ángel Ramos-Macías
Journal:  PLoS Comput Biol       Date:  2022-05-27       Impact factor: 4.779

3.  Validation of a Cochlear Implant Patient-Specific Model of the Voltage Distribution in a Clinical Setting.

Authors:  Waldo Nogueira; Daniel Schurzig; Andreas Büchner; Richard T Penninger; Waldemar Würfel
Journal:  Front Bioeng Biotechnol       Date:  2016-11-23

4.  Computational Evaluation of Cochlear Implant Surgery Outcomes Accounting for Uncertainty and Parameter Variability.

Authors:  Nerea Mangado; Jordi Pons-Prats; Martí Coma; Pavel Mistrík; Gemma Piella; Mario Ceresa; Miguel Á González Ballester
Journal:  Front Physiol       Date:  2018-05-23       Impact factor: 4.566

5.  Neural Tissue Degeneration in Rosenthal's Canal and Its Impact on Electrical Stimulation of the Auditory Nerve by Cochlear Implants: An Image-Based Modeling Study.

Authors:  Kiran Kumar Sriperumbudur; Revathi Appali; Anthony W Gummer; Ursula van Rienen
Journal:  Int J Mol Sci       Date:  2020-11-12       Impact factor: 5.923

  5 in total

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