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Model-based Vestibular Afferent Stimulation: Modular Workflow for Analyzing Stimulation Scenarios in Patient Specific and Statistical Vestibular Anatomy

Our sense of balance and spatial orientation strongly depends on the correct functionality of our vestibular system. Vestibular dysfunction can lead to blurred vision and impaired balance and spatial orientation, causing a significant decrease in quality of life. Recent studies have shown that vesti...

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Autores principales: Handler, Michael, Schier, Peter P., Fritscher, Karl D., Raudaschl, Patrik, Johnson Chacko, Lejo, Glueckert, Rudolf, Saba, Rami, Schubert, Rainer, Baumgarten, Daniel, Baumgartner, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5742128/
https://www.ncbi.nlm.nih.gov/pubmed/29311790
http://dx.doi.org/10.3389/fnins.2017.00713
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author Handler, Michael
Schier, Peter P.
Fritscher, Karl D.
Raudaschl, Patrik
Johnson Chacko, Lejo
Glueckert, Rudolf
Saba, Rami
Schubert, Rainer
Baumgarten, Daniel
Baumgartner, Christian
author_facet Handler, Michael
Schier, Peter P.
Fritscher, Karl D.
Raudaschl, Patrik
Johnson Chacko, Lejo
Glueckert, Rudolf
Saba, Rami
Schubert, Rainer
Baumgarten, Daniel
Baumgartner, Christian
author_sort Handler, Michael
collection PubMed
description Our sense of balance and spatial orientation strongly depends on the correct functionality of our vestibular system. Vestibular dysfunction can lead to blurred vision and impaired balance and spatial orientation, causing a significant decrease in quality of life. Recent studies have shown that vestibular implants offer a possible treatment for patients with vestibular dysfunction. The close proximity of the vestibular nerve bundles, the facial nerve and the cochlear nerve poses a major challenge to targeted stimulation of the vestibular system. Modeling the electrical stimulation of the vestibular system allows for an efficient analysis of stimulation scenarios previous to time and cost intensive in vivo experiments. Current models are based on animal data or CAD models of human anatomy. In this work, a (semi-)automatic modular workflow is presented for the stepwise transformation of segmented vestibular anatomy data of human vestibular specimens to an electrical model and subsequently analyzed. The steps of this workflow include (i) the transformation of labeled datasets to a tetrahedra mesh, (ii) nerve fiber anisotropy and fiber computation as a basis for neuron models, (iii) inclusion of arbitrary electrode designs, (iv) simulation of quasistationary potential distributions, and (v) analysis of stimulus waveforms on the stimulation outcome. Results obtained by the workflow based on human datasets and the average shape of a statistical model revealed a high qualitative agreement and a quantitatively comparable range compared to data from literature, respectively. Based on our workflow, a detailed analysis of intra- and extra-labyrinthine electrode configurations with various stimulation waveforms and electrode designs can be performed on patient specific anatomy, making this framework a valuable tool for current optimization questions concerning vestibular implants in humans.
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spelling pubmed-57421282018-01-08 Model-based Vestibular Afferent Stimulation: Modular Workflow for Analyzing Stimulation Scenarios in Patient Specific and Statistical Vestibular Anatomy Handler, Michael Schier, Peter P. Fritscher, Karl D. Raudaschl, Patrik Johnson Chacko, Lejo Glueckert, Rudolf Saba, Rami Schubert, Rainer Baumgarten, Daniel Baumgartner, Christian Front Neurosci Neuroscience Our sense of balance and spatial orientation strongly depends on the correct functionality of our vestibular system. Vestibular dysfunction can lead to blurred vision and impaired balance and spatial orientation, causing a significant decrease in quality of life. Recent studies have shown that vestibular implants offer a possible treatment for patients with vestibular dysfunction. The close proximity of the vestibular nerve bundles, the facial nerve and the cochlear nerve poses a major challenge to targeted stimulation of the vestibular system. Modeling the electrical stimulation of the vestibular system allows for an efficient analysis of stimulation scenarios previous to time and cost intensive in vivo experiments. Current models are based on animal data or CAD models of human anatomy. In this work, a (semi-)automatic modular workflow is presented for the stepwise transformation of segmented vestibular anatomy data of human vestibular specimens to an electrical model and subsequently analyzed. The steps of this workflow include (i) the transformation of labeled datasets to a tetrahedra mesh, (ii) nerve fiber anisotropy and fiber computation as a basis for neuron models, (iii) inclusion of arbitrary electrode designs, (iv) simulation of quasistationary potential distributions, and (v) analysis of stimulus waveforms on the stimulation outcome. Results obtained by the workflow based on human datasets and the average shape of a statistical model revealed a high qualitative agreement and a quantitatively comparable range compared to data from literature, respectively. Based on our workflow, a detailed analysis of intra- and extra-labyrinthine electrode configurations with various stimulation waveforms and electrode designs can be performed on patient specific anatomy, making this framework a valuable tool for current optimization questions concerning vestibular implants in humans. Frontiers Media S.A. 2017-12-19 /pmc/articles/PMC5742128/ /pubmed/29311790 http://dx.doi.org/10.3389/fnins.2017.00713 Text en Copyright © 2017 Handler, Schier, Fritscher, Raudaschl, Johnson Chacko, Glueckert, Saba, Schubert, Baumgarten and Baumgartner. 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) or licensor 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
Handler, Michael
Schier, Peter P.
Fritscher, Karl D.
Raudaschl, Patrik
Johnson Chacko, Lejo
Glueckert, Rudolf
Saba, Rami
Schubert, Rainer
Baumgarten, Daniel
Baumgartner, Christian
Model-based Vestibular Afferent Stimulation: Modular Workflow for Analyzing Stimulation Scenarios in Patient Specific and Statistical Vestibular Anatomy
title Model-based Vestibular Afferent Stimulation: Modular Workflow for Analyzing Stimulation Scenarios in Patient Specific and Statistical Vestibular Anatomy
title_full Model-based Vestibular Afferent Stimulation: Modular Workflow for Analyzing Stimulation Scenarios in Patient Specific and Statistical Vestibular Anatomy
title_fullStr Model-based Vestibular Afferent Stimulation: Modular Workflow for Analyzing Stimulation Scenarios in Patient Specific and Statistical Vestibular Anatomy
title_full_unstemmed Model-based Vestibular Afferent Stimulation: Modular Workflow for Analyzing Stimulation Scenarios in Patient Specific and Statistical Vestibular Anatomy
title_short Model-based Vestibular Afferent Stimulation: Modular Workflow for Analyzing Stimulation Scenarios in Patient Specific and Statistical Vestibular Anatomy
title_sort model-based vestibular afferent stimulation: modular workflow for analyzing stimulation scenarios in patient specific and statistical vestibular anatomy
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5742128/
https://www.ncbi.nlm.nih.gov/pubmed/29311790
http://dx.doi.org/10.3389/fnins.2017.00713
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