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Toward Standardization of Electrophysiology and Computational Tissue Strain in Rodent Intracortical Microelectrode Models

Progress has been made in the field of neural interfacing using both mouse and rat models, yet standardization of these models’ interchangeability has yet to be established. The mouse model allows for transgenic, optogenetic, and advanced imaging modalities which can be used to examine the biologica...

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Autores principales: Mahajan, Shreya, Hermann, John K., Bedell, Hillary W., Sharkins, Jonah A., Chen, Lei, Chen, Keying, Meade, Seth M., Smith, Cara S., Rayyan, Jacob, Feng, He, Kim, Youjoung, Schiefer, Matthew A., Taylor, Dawn M., Capadona, Jeffrey R., Ereifej, Evon S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7225268/
https://www.ncbi.nlm.nih.gov/pubmed/32457888
http://dx.doi.org/10.3389/fbioe.2020.00416
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author Mahajan, Shreya
Hermann, John K.
Bedell, Hillary W.
Sharkins, Jonah A.
Chen, Lei
Chen, Keying
Meade, Seth M.
Smith, Cara S.
Rayyan, Jacob
Feng, He
Kim, Youjoung
Schiefer, Matthew A.
Taylor, Dawn M.
Capadona, Jeffrey R.
Ereifej, Evon S.
author_facet Mahajan, Shreya
Hermann, John K.
Bedell, Hillary W.
Sharkins, Jonah A.
Chen, Lei
Chen, Keying
Meade, Seth M.
Smith, Cara S.
Rayyan, Jacob
Feng, He
Kim, Youjoung
Schiefer, Matthew A.
Taylor, Dawn M.
Capadona, Jeffrey R.
Ereifej, Evon S.
author_sort Mahajan, Shreya
collection PubMed
description Progress has been made in the field of neural interfacing using both mouse and rat models, yet standardization of these models’ interchangeability has yet to be established. The mouse model allows for transgenic, optogenetic, and advanced imaging modalities which can be used to examine the biological impact and failure mechanisms associated with the neural implant itself. The ability to directly compare electrophysiological data between mouse and rat models is crucial for the development and assessment of neural interfaces. The most obvious difference in the two rodent models is size, which raises concern for the role of device-induced tissue strain. Strain exerted on brain tissue by implanted microelectrode arrays is hypothesized to affect long-term recording performance. Therefore, understanding any potential differences in tissue strain caused by differences in the implant to tissue size ratio is crucial for validating the interchangeability of rat and mouse models. Hence, this study is aimed at investigating the electrophysiological variances and predictive device-induced tissue strain. Rat and mouse electrophysiological recordings were collected from implanted animals for eight weeks. A finite element model was utilized to assess the tissue strain from implanted intracortical microelectrodes, taking into account the differences in the depth within the cortex, implantation depth, and electrode geometry between the two models. The rat model demonstrated a larger percentage of channels recording single unit activity and number of units recorded per channel at acute but not chronic time points, relative to the mouse model Additionally, the finite element models also revealed no predictive differences in tissue strain between the two rodent models. Collectively our results show that these two models are comparable after taking into consideration some recommendations to maintain uniform conditions for future studies where direct comparisons of electrophysiological and tissue strain data between the two animal models will be required.
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spelling pubmed-72252682020-05-25 Toward Standardization of Electrophysiology and Computational Tissue Strain in Rodent Intracortical Microelectrode Models Mahajan, Shreya Hermann, John K. Bedell, Hillary W. Sharkins, Jonah A. Chen, Lei Chen, Keying Meade, Seth M. Smith, Cara S. Rayyan, Jacob Feng, He Kim, Youjoung Schiefer, Matthew A. Taylor, Dawn M. Capadona, Jeffrey R. Ereifej, Evon S. Front Bioeng Biotechnol Bioengineering and Biotechnology Progress has been made in the field of neural interfacing using both mouse and rat models, yet standardization of these models’ interchangeability has yet to be established. The mouse model allows for transgenic, optogenetic, and advanced imaging modalities which can be used to examine the biological impact and failure mechanisms associated with the neural implant itself. The ability to directly compare electrophysiological data between mouse and rat models is crucial for the development and assessment of neural interfaces. The most obvious difference in the two rodent models is size, which raises concern for the role of device-induced tissue strain. Strain exerted on brain tissue by implanted microelectrode arrays is hypothesized to affect long-term recording performance. Therefore, understanding any potential differences in tissue strain caused by differences in the implant to tissue size ratio is crucial for validating the interchangeability of rat and mouse models. Hence, this study is aimed at investigating the electrophysiological variances and predictive device-induced tissue strain. Rat and mouse electrophysiological recordings were collected from implanted animals for eight weeks. A finite element model was utilized to assess the tissue strain from implanted intracortical microelectrodes, taking into account the differences in the depth within the cortex, implantation depth, and electrode geometry between the two models. The rat model demonstrated a larger percentage of channels recording single unit activity and number of units recorded per channel at acute but not chronic time points, relative to the mouse model Additionally, the finite element models also revealed no predictive differences in tissue strain between the two rodent models. Collectively our results show that these two models are comparable after taking into consideration some recommendations to maintain uniform conditions for future studies where direct comparisons of electrophysiological and tissue strain data between the two animal models will be required. Frontiers Media S.A. 2020-05-08 /pmc/articles/PMC7225268/ /pubmed/32457888 http://dx.doi.org/10.3389/fbioe.2020.00416 Text en Copyright © 2020 Mahajan, Hermann, Bedell, Sharkins, Chen, Chen, Meade, Smith, Rayyan, Feng, Kim, Schiefer, Taylor, Capadona and Ereifej. 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 Bioengineering and Biotechnology
Mahajan, Shreya
Hermann, John K.
Bedell, Hillary W.
Sharkins, Jonah A.
Chen, Lei
Chen, Keying
Meade, Seth M.
Smith, Cara S.
Rayyan, Jacob
Feng, He
Kim, Youjoung
Schiefer, Matthew A.
Taylor, Dawn M.
Capadona, Jeffrey R.
Ereifej, Evon S.
Toward Standardization of Electrophysiology and Computational Tissue Strain in Rodent Intracortical Microelectrode Models
title Toward Standardization of Electrophysiology and Computational Tissue Strain in Rodent Intracortical Microelectrode Models
title_full Toward Standardization of Electrophysiology and Computational Tissue Strain in Rodent Intracortical Microelectrode Models
title_fullStr Toward Standardization of Electrophysiology and Computational Tissue Strain in Rodent Intracortical Microelectrode Models
title_full_unstemmed Toward Standardization of Electrophysiology and Computational Tissue Strain in Rodent Intracortical Microelectrode Models
title_short Toward Standardization of Electrophysiology and Computational Tissue Strain in Rodent Intracortical Microelectrode Models
title_sort toward standardization of electrophysiology and computational tissue strain in rodent intracortical microelectrode models
topic Bioengineering and Biotechnology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7225268/
https://www.ncbi.nlm.nih.gov/pubmed/32457888
http://dx.doi.org/10.3389/fbioe.2020.00416
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