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Intraoperative microseizure detection using a high-density micro-electrocorticography electrode array

One-third of epilepsy patients suffer from medication-resistant seizures. While surgery to remove epileptogenic tissue helps some patients, 30–70% of patients continue to experience seizures following resection. Surgical outcomes may be improved with more accurate localization of epileptogenic tissu...

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Autores principales: Sun, James, Barth, Katrina, Qiao, Shaoyu, Chiang, Chia-Han, Wang, Charles, Rahimpour, Shervin, Trumpis, Michael, Duraivel, Suseendrakumar, Dubey, Agrita, Wingel, Katie E., Rachinskiy, Iakov, Voinas, Alex E., Ferrentino, Breonna, Southwell, Derek G., Haglund, Michael M., Friedman, Allan H., Lad, Shivanand P., Doyle, Werner K., Solzbacher, Florian, Cogan, Gregory, Sinha, Saurabh R., Devore, Sasha, Devinsky, Orrin, Friedman, Daniel, Pesaran, Bijan, Viventi, Jonathan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9155612/
https://www.ncbi.nlm.nih.gov/pubmed/35663384
http://dx.doi.org/10.1093/braincomms/fcac122
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author Sun, James
Barth, Katrina
Qiao, Shaoyu
Chiang, Chia-Han
Wang, Charles
Rahimpour, Shervin
Trumpis, Michael
Duraivel, Suseendrakumar
Dubey, Agrita
Wingel, Katie E.
Rachinskiy, Iakov
Voinas, Alex E.
Ferrentino, Breonna
Southwell, Derek G.
Haglund, Michael M.
Friedman, Allan H.
Lad, Shivanand P.
Doyle, Werner K.
Solzbacher, Florian
Cogan, Gregory
Sinha, Saurabh R.
Devore, Sasha
Devinsky, Orrin
Friedman, Daniel
Pesaran, Bijan
Viventi, Jonathan
author_facet Sun, James
Barth, Katrina
Qiao, Shaoyu
Chiang, Chia-Han
Wang, Charles
Rahimpour, Shervin
Trumpis, Michael
Duraivel, Suseendrakumar
Dubey, Agrita
Wingel, Katie E.
Rachinskiy, Iakov
Voinas, Alex E.
Ferrentino, Breonna
Southwell, Derek G.
Haglund, Michael M.
Friedman, Allan H.
Lad, Shivanand P.
Doyle, Werner K.
Solzbacher, Florian
Cogan, Gregory
Sinha, Saurabh R.
Devore, Sasha
Devinsky, Orrin
Friedman, Daniel
Pesaran, Bijan
Viventi, Jonathan
author_sort Sun, James
collection PubMed
description One-third of epilepsy patients suffer from medication-resistant seizures. While surgery to remove epileptogenic tissue helps some patients, 30–70% of patients continue to experience seizures following resection. Surgical outcomes may be improved with more accurate localization of epileptogenic tissue. We have previously developed novel thin-film, subdural electrode arrays with hundreds of microelectrodes over a 100–1000 mm(2) area to enable high-resolution mapping of neural activity. Here, we used these high-density arrays to study microscale properties of human epileptiform activity. We performed intraoperative micro-electrocorticographic recordings in nine patients with epilepsy. In addition, we recorded from four patients with movement disorders undergoing deep brain stimulator implantation as non-epileptic controls. A board-certified epileptologist identified microseizures, which resembled electrographic seizures normally observed with clinical macroelectrodes. Recordings in epileptic patients had a significantly higher microseizure rate (2.01 events/min) than recordings in non-epileptic subjects (0.01 events/min; permutation test, P = 0.0068). Using spatial averaging to simulate recordings from larger electrode contacts, we found that the number of detected microseizures decreased rapidly with increasing contact diameter and decreasing contact density. In cases in which microseizures were spatially distributed across multiple channels, the approximate onset region was identified. Our results suggest that micro-electrocorticographic electrode arrays with a high density of contacts and large coverage are essential for capturing microseizures in epilepsy patients and may be beneficial for localizing epileptogenic tissue to plan surgery or target brain stimulation.
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spelling pubmed-91556122022-06-04 Intraoperative microseizure detection using a high-density micro-electrocorticography electrode array Sun, James Barth, Katrina Qiao, Shaoyu Chiang, Chia-Han Wang, Charles Rahimpour, Shervin Trumpis, Michael Duraivel, Suseendrakumar Dubey, Agrita Wingel, Katie E. Rachinskiy, Iakov Voinas, Alex E. Ferrentino, Breonna Southwell, Derek G. Haglund, Michael M. Friedman, Allan H. Lad, Shivanand P. Doyle, Werner K. Solzbacher, Florian Cogan, Gregory Sinha, Saurabh R. Devore, Sasha Devinsky, Orrin Friedman, Daniel Pesaran, Bijan Viventi, Jonathan Brain Commun Original Article One-third of epilepsy patients suffer from medication-resistant seizures. While surgery to remove epileptogenic tissue helps some patients, 30–70% of patients continue to experience seizures following resection. Surgical outcomes may be improved with more accurate localization of epileptogenic tissue. We have previously developed novel thin-film, subdural electrode arrays with hundreds of microelectrodes over a 100–1000 mm(2) area to enable high-resolution mapping of neural activity. Here, we used these high-density arrays to study microscale properties of human epileptiform activity. We performed intraoperative micro-electrocorticographic recordings in nine patients with epilepsy. In addition, we recorded from four patients with movement disorders undergoing deep brain stimulator implantation as non-epileptic controls. A board-certified epileptologist identified microseizures, which resembled electrographic seizures normally observed with clinical macroelectrodes. Recordings in epileptic patients had a significantly higher microseizure rate (2.01 events/min) than recordings in non-epileptic subjects (0.01 events/min; permutation test, P = 0.0068). Using spatial averaging to simulate recordings from larger electrode contacts, we found that the number of detected microseizures decreased rapidly with increasing contact diameter and decreasing contact density. In cases in which microseizures were spatially distributed across multiple channels, the approximate onset region was identified. Our results suggest that micro-electrocorticographic electrode arrays with a high density of contacts and large coverage are essential for capturing microseizures in epilepsy patients and may be beneficial for localizing epileptogenic tissue to plan surgery or target brain stimulation. Oxford University Press 2022-05-27 /pmc/articles/PMC9155612/ /pubmed/35663384 http://dx.doi.org/10.1093/braincomms/fcac122 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the Guarantors of Brain. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Sun, James
Barth, Katrina
Qiao, Shaoyu
Chiang, Chia-Han
Wang, Charles
Rahimpour, Shervin
Trumpis, Michael
Duraivel, Suseendrakumar
Dubey, Agrita
Wingel, Katie E.
Rachinskiy, Iakov
Voinas, Alex E.
Ferrentino, Breonna
Southwell, Derek G.
Haglund, Michael M.
Friedman, Allan H.
Lad, Shivanand P.
Doyle, Werner K.
Solzbacher, Florian
Cogan, Gregory
Sinha, Saurabh R.
Devore, Sasha
Devinsky, Orrin
Friedman, Daniel
Pesaran, Bijan
Viventi, Jonathan
Intraoperative microseizure detection using a high-density micro-electrocorticography electrode array
title Intraoperative microseizure detection using a high-density micro-electrocorticography electrode array
title_full Intraoperative microseizure detection using a high-density micro-electrocorticography electrode array
title_fullStr Intraoperative microseizure detection using a high-density micro-electrocorticography electrode array
title_full_unstemmed Intraoperative microseizure detection using a high-density micro-electrocorticography electrode array
title_short Intraoperative microseizure detection using a high-density micro-electrocorticography electrode array
title_sort intraoperative microseizure detection using a high-density micro-electrocorticography electrode array
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9155612/
https://www.ncbi.nlm.nih.gov/pubmed/35663384
http://dx.doi.org/10.1093/braincomms/fcac122
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