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Automation Advances in Stereoelectroencephalography Planning

The past decade has seen a significant shift in the number of centers performing intracranial electroencephalography from subdural grids and strips to stereoelectroencephalography (SEEG). Unlike grid and strip insertion or other stereotactic procedures in which the cortical surface is visualized, SE...

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Detalles Bibliográficos
Autores principales: Vakharia, Vejay N., Duncan, John S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: W.B. Saunders 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7902942/
https://www.ncbi.nlm.nih.gov/pubmed/32475489
http://dx.doi.org/10.1016/j.nec.2020.03.005
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author Vakharia, Vejay N.
Duncan, John S.
author_facet Vakharia, Vejay N.
Duncan, John S.
author_sort Vakharia, Vejay N.
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description The past decade has seen a significant shift in the number of centers performing intracranial electroencephalography from subdural grids and strips to stereoelectroencephalography (SEEG). Unlike grid and strip insertion or other stereotactic procedures in which the cortical surface is visualized, SEEG involves insertion of an electrode through a bolt anchored into the skull. Due to the multidisciplinary nature of SEEG trajectory planning, it often is time-consuming and iterative. Computer-assisted planning improves time taken and efficacy of SEEG trajectory planning. This article provides an overview of the considerations, controversies, and practicalities of implementing an automated computer-assisted planning solution for SEEG planning.
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spelling pubmed-79029422021-03-03 Automation Advances in Stereoelectroencephalography Planning Vakharia, Vejay N. Duncan, John S. Neurosurg Clin N Am Article The past decade has seen a significant shift in the number of centers performing intracranial electroencephalography from subdural grids and strips to stereoelectroencephalography (SEEG). Unlike grid and strip insertion or other stereotactic procedures in which the cortical surface is visualized, SEEG involves insertion of an electrode through a bolt anchored into the skull. Due to the multidisciplinary nature of SEEG trajectory planning, it often is time-consuming and iterative. Computer-assisted planning improves time taken and efficacy of SEEG trajectory planning. This article provides an overview of the considerations, controversies, and practicalities of implementing an automated computer-assisted planning solution for SEEG planning. W.B. Saunders 2020-07 /pmc/articles/PMC7902942/ /pubmed/32475489 http://dx.doi.org/10.1016/j.nec.2020.03.005 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Vakharia, Vejay N.
Duncan, John S.
Automation Advances in Stereoelectroencephalography Planning
title Automation Advances in Stereoelectroencephalography Planning
title_full Automation Advances in Stereoelectroencephalography Planning
title_fullStr Automation Advances in Stereoelectroencephalography Planning
title_full_unstemmed Automation Advances in Stereoelectroencephalography Planning
title_short Automation Advances in Stereoelectroencephalography Planning
title_sort automation advances in stereoelectroencephalography planning
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7902942/
https://www.ncbi.nlm.nih.gov/pubmed/32475489
http://dx.doi.org/10.1016/j.nec.2020.03.005
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