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Multimodal, Multiscale Insights into Hippocampal Seizures Enabled by Transparent, Graphene-Based Microelectrode Arrays
Hippocampal seizures are a defining feature of mesial temporal lobe epilepsy (MTLE). Area CA1 of the hippocampus is commonly implicated in the generation of seizures, which may occur because of the activity of endogenous cell populations or of inputs from other regions within the hippocampal formati...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society for Neuroscience
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9087744/ https://www.ncbi.nlm.nih.gov/pubmed/35470227 http://dx.doi.org/10.1523/ENEURO.0386-21.2022 |
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author | Mulcahey, Patrick J. Chen, Yuzhang Driscoll, Nicolette Murphy, Brendan B. Dickens, Olivia O. Johnson, A. T. Charlie Vitale, Flavia Takano, Hajime |
author_facet | Mulcahey, Patrick J. Chen, Yuzhang Driscoll, Nicolette Murphy, Brendan B. Dickens, Olivia O. Johnson, A. T. Charlie Vitale, Flavia Takano, Hajime |
author_sort | Mulcahey, Patrick J. |
collection | PubMed |
description | Hippocampal seizures are a defining feature of mesial temporal lobe epilepsy (MTLE). Area CA1 of the hippocampus is commonly implicated in the generation of seizures, which may occur because of the activity of endogenous cell populations or of inputs from other regions within the hippocampal formation. Simultaneously observing activity at the cellular and network scales in vivo remains challenging. Here, we present a novel technology for simultaneous electrophysiology and multicellular calcium imaging of CA1 pyramidal cells (PCs) in mice enabled by a transparent graphene-based microelectrode array (Gr MEA). We examine PC firing at seizure onset, oscillatory coupling, and the dynamics of the seizure traveling wave as seizures evolve. Finally, we couple features derived from both modalities to predict the speed of the traveling wave using bootstrap aggregated regression trees. Analysis of the most important features in the regression trees suggests a transition among states in the evolution of hippocampal seizures. |
format | Online Article Text |
id | pubmed-9087744 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Society for Neuroscience |
record_format | MEDLINE/PubMed |
spelling | pubmed-90877442022-05-10 Multimodal, Multiscale Insights into Hippocampal Seizures Enabled by Transparent, Graphene-Based Microelectrode Arrays Mulcahey, Patrick J. Chen, Yuzhang Driscoll, Nicolette Murphy, Brendan B. Dickens, Olivia O. Johnson, A. T. Charlie Vitale, Flavia Takano, Hajime eNeuro Research Article: New Research Hippocampal seizures are a defining feature of mesial temporal lobe epilepsy (MTLE). Area CA1 of the hippocampus is commonly implicated in the generation of seizures, which may occur because of the activity of endogenous cell populations or of inputs from other regions within the hippocampal formation. Simultaneously observing activity at the cellular and network scales in vivo remains challenging. Here, we present a novel technology for simultaneous electrophysiology and multicellular calcium imaging of CA1 pyramidal cells (PCs) in mice enabled by a transparent graphene-based microelectrode array (Gr MEA). We examine PC firing at seizure onset, oscillatory coupling, and the dynamics of the seizure traveling wave as seizures evolve. Finally, we couple features derived from both modalities to predict the speed of the traveling wave using bootstrap aggregated regression trees. Analysis of the most important features in the regression trees suggests a transition among states in the evolution of hippocampal seizures. Society for Neuroscience 2022-05-09 /pmc/articles/PMC9087744/ /pubmed/35470227 http://dx.doi.org/10.1523/ENEURO.0386-21.2022 Text en Copyright © 2022 Mulcahey et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed. |
spellingShingle | Research Article: New Research Mulcahey, Patrick J. Chen, Yuzhang Driscoll, Nicolette Murphy, Brendan B. Dickens, Olivia O. Johnson, A. T. Charlie Vitale, Flavia Takano, Hajime Multimodal, Multiscale Insights into Hippocampal Seizures Enabled by Transparent, Graphene-Based Microelectrode Arrays |
title | Multimodal, Multiscale Insights into Hippocampal Seizures Enabled by Transparent, Graphene-Based Microelectrode Arrays |
title_full | Multimodal, Multiscale Insights into Hippocampal Seizures Enabled by Transparent, Graphene-Based Microelectrode Arrays |
title_fullStr | Multimodal, Multiscale Insights into Hippocampal Seizures Enabled by Transparent, Graphene-Based Microelectrode Arrays |
title_full_unstemmed | Multimodal, Multiscale Insights into Hippocampal Seizures Enabled by Transparent, Graphene-Based Microelectrode Arrays |
title_short | Multimodal, Multiscale Insights into Hippocampal Seizures Enabled by Transparent, Graphene-Based Microelectrode Arrays |
title_sort | multimodal, multiscale insights into hippocampal seizures enabled by transparent, graphene-based microelectrode arrays |
topic | Research Article: New Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9087744/ https://www.ncbi.nlm.nih.gov/pubmed/35470227 http://dx.doi.org/10.1523/ENEURO.0386-21.2022 |
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