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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Frontiers Media S.A.
2020-05-01
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Series: | Frontiers in Bioengineering and Biotechnology |
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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. |
first_indexed | 2024-12-22T03:37:47Z |
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language | English |
last_indexed | 2024-12-22T03:37:47Z |
publishDate | 2020-05-01 |
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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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