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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Main Authors: Shreya Mahajan, John K. Hermann, Hillary W. Bedell, Jonah A. Sharkins, Lei Chen, Keying Chen, Seth M. Meade, Cara S. Smith, Jacob Rayyan, He Feng, Youjoung Kim, Matthew A. Schiefer, Dawn M. Taylor, Jeffrey R. Capadona, Evon S. Ereifej
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-05-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fbioe.2020.00416/full
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author Shreya Mahajan
John K. Hermann
John K. Hermann
Hillary W. Bedell
Hillary W. Bedell
Jonah A. Sharkins
Jonah A. Sharkins
Lei Chen
Keying Chen
Keying Chen
Seth M. Meade
Seth M. Meade
Cara S. Smith
Cara S. Smith
Jacob Rayyan
Jacob Rayyan
He Feng
He Feng
Youjoung Kim
Youjoung Kim
Matthew A. Schiefer
Matthew A. Schiefer
Dawn M. Taylor
Dawn M. Taylor
Dawn M. Taylor
Jeffrey R. Capadona
Jeffrey R. Capadona
Evon S. Ereifej
Evon S. Ereifej
Evon S. Ereifej
Evon S. Ereifej
author_facet Shreya Mahajan
John K. Hermann
John K. Hermann
Hillary W. Bedell
Hillary W. Bedell
Jonah A. Sharkins
Jonah A. Sharkins
Lei Chen
Keying Chen
Keying Chen
Seth M. Meade
Seth M. Meade
Cara S. Smith
Cara S. Smith
Jacob Rayyan
Jacob Rayyan
He Feng
He Feng
Youjoung Kim
Youjoung Kim
Matthew A. Schiefer
Matthew A. Schiefer
Dawn M. Taylor
Dawn M. Taylor
Dawn M. Taylor
Jeffrey R. Capadona
Jeffrey R. Capadona
Evon S. Ereifej
Evon S. Ereifej
Evon S. Ereifej
Evon S. Ereifej
author_sort Shreya Mahajan
collection DOAJ
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 doaj.art-c28cdab6b3224ac99ba2a21578d4160b2022-12-21T18:40:19ZengFrontiers Media S.A.Frontiers in Bioengineering and Biotechnology2296-41852020-05-01810.3389/fbioe.2020.00416512037Toward Standardization of Electrophysiology and Computational Tissue Strain in Rodent Intracortical Microelectrode ModelsShreya Mahajan0John K. Hermann1John K. Hermann2Hillary W. Bedell3Hillary W. Bedell4Jonah A. Sharkins5Jonah A. Sharkins6Lei Chen7Keying Chen8Keying Chen9Seth M. Meade10Seth M. Meade11Cara S. Smith12Cara S. Smith13Jacob Rayyan14Jacob Rayyan15He Feng16He Feng17Youjoung Kim18Youjoung Kim19Matthew A. Schiefer20Matthew A. Schiefer21Dawn M. Taylor22Dawn M. Taylor23Dawn M. Taylor24Jeffrey R. Capadona25Jeffrey R. Capadona26Evon S. Ereifej27Evon S. Ereifej28Evon S. Ereifej29Evon S. Ereifej30Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, United StatesDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United StatesAdvanced Platform Technology Center, Louis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, OH, United StatesDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United StatesAdvanced Platform Technology Center, Louis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, OH, United StatesVeteran Affairs Ann Arbor Healthcare System, Ann Arbor, MI, United StatesDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United StatesDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI, United StatesDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United StatesAdvanced Platform Technology Center, Louis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, OH, United StatesDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United StatesAdvanced Platform Technology Center, Louis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, OH, United StatesDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United StatesAdvanced Platform Technology Center, Louis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, OH, United StatesDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United StatesAdvanced Platform Technology Center, Louis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, OH, United StatesDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United StatesAdvanced Platform Technology Center, Louis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, OH, United StatesDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United StatesAdvanced Platform Technology Center, Louis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, OH, United StatesDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United StatesAdvanced Platform Technology Center, Louis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, OH, United StatesDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United StatesAdvanced Platform Technology Center, Louis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, OH, United StatesDepartment of Neuroscience, The Cleveland Clinic, Cleveland, OH, United StatesDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United StatesAdvanced Platform Technology Center, Louis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, OH, United StatesAdvanced Platform Technology Center, Louis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, OH, United StatesVeteran Affairs Ann Arbor Healthcare System, Ann Arbor, MI, United StatesDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United StatesDepartment of Neurology, University of Michigan, Ann Arbor, MI, United StatesProgress 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.https://www.frontiersin.org/article/10.3389/fbioe.2020.00416/fullrodent modelintracortical microelectrodeselectrophysiologytissue strainbrainfinite element model
spellingShingle Shreya Mahajan
John K. Hermann
John K. Hermann
Hillary W. Bedell
Hillary W. Bedell
Jonah A. Sharkins
Jonah A. Sharkins
Lei Chen
Keying Chen
Keying Chen
Seth M. Meade
Seth M. Meade
Cara S. Smith
Cara S. Smith
Jacob Rayyan
Jacob Rayyan
He Feng
He Feng
Youjoung Kim
Youjoung Kim
Matthew A. Schiefer
Matthew A. Schiefer
Dawn M. Taylor
Dawn M. Taylor
Dawn M. Taylor
Jeffrey R. Capadona
Jeffrey R. Capadona
Evon S. Ereifej
Evon S. Ereifej
Evon S. Ereifej
Evon S. Ereifej
Toward Standardization of Electrophysiology and Computational Tissue Strain in Rodent Intracortical Microelectrode Models
Frontiers in Bioengineering and Biotechnology
rodent model
intracortical microelectrodes
electrophysiology
tissue strain
brain
finite element model
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 rodent model
intracortical microelectrodes
electrophysiology
tissue strain
brain
finite element model
url https://www.frontiersin.org/article/10.3389/fbioe.2020.00416/full
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