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Computational Assessment of Neural Probe and Brain Tissue Interface under Transient Motion

The functional longevity of a neural probe is dependent upon its ability to minimize injury risk during the insertion and recording period in vivo, which could be related to motion-related strain between the probe and surrounding tissue. A series of finite element analyses was conducted to study the...

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Detalles Bibliográficos
Autores principales: Polanco, Michael, Bawab, Sebastian, Yoon, Hargsoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4931487/
https://www.ncbi.nlm.nih.gov/pubmed/27322338
http://dx.doi.org/10.3390/bios6020027
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author Polanco, Michael
Bawab, Sebastian
Yoon, Hargsoon
author_facet Polanco, Michael
Bawab, Sebastian
Yoon, Hargsoon
author_sort Polanco, Michael
collection PubMed
description The functional longevity of a neural probe is dependent upon its ability to minimize injury risk during the insertion and recording period in vivo, which could be related to motion-related strain between the probe and surrounding tissue. A series of finite element analyses was conducted to study the extent of the strain induced within the brain in an area around a neural probe. This study focuses on the transient behavior of neural probe and brain tissue interface with a viscoelastic model. Different stages of the interface from initial insertion of neural probe to full bonding of the probe by astro-glial sheath formation are simulated utilizing analytical tools to investigate the effects of relative motion between the neural probe and the brain while friction coefficients and kinematic frequencies are varied. The analyses can provide an in-depth look at the quantitative benefits behind using soft materials for neural probes.
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spelling pubmed-49314872016-07-08 Computational Assessment of Neural Probe and Brain Tissue Interface under Transient Motion Polanco, Michael Bawab, Sebastian Yoon, Hargsoon Biosensors (Basel) Article The functional longevity of a neural probe is dependent upon its ability to minimize injury risk during the insertion and recording period in vivo, which could be related to motion-related strain between the probe and surrounding tissue. A series of finite element analyses was conducted to study the extent of the strain induced within the brain in an area around a neural probe. This study focuses on the transient behavior of neural probe and brain tissue interface with a viscoelastic model. Different stages of the interface from initial insertion of neural probe to full bonding of the probe by astro-glial sheath formation are simulated utilizing analytical tools to investigate the effects of relative motion between the neural probe and the brain while friction coefficients and kinematic frequencies are varied. The analyses can provide an in-depth look at the quantitative benefits behind using soft materials for neural probes. MDPI 2016-06-16 /pmc/articles/PMC4931487/ /pubmed/27322338 http://dx.doi.org/10.3390/bios6020027 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Polanco, Michael
Bawab, Sebastian
Yoon, Hargsoon
Computational Assessment of Neural Probe and Brain Tissue Interface under Transient Motion
title Computational Assessment of Neural Probe and Brain Tissue Interface under Transient Motion
title_full Computational Assessment of Neural Probe and Brain Tissue Interface under Transient Motion
title_fullStr Computational Assessment of Neural Probe and Brain Tissue Interface under Transient Motion
title_full_unstemmed Computational Assessment of Neural Probe and Brain Tissue Interface under Transient Motion
title_short Computational Assessment of Neural Probe and Brain Tissue Interface under Transient Motion
title_sort computational assessment of neural probe and brain tissue interface under transient motion
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4931487/
https://www.ncbi.nlm.nih.gov/pubmed/27322338
http://dx.doi.org/10.3390/bios6020027
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