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Clinical Application of Spatiotemporal Distributed Source Analysis in Presurgical Evaluation of Epilepsy

Magnetoencephalography (MEG), which acquires neuromagnetic fields in the brain, is a useful diagnostic tool in presurgical evaluation of epilepsy. Previous studies have shown that MEG affects the planning intracranial electroencephalography placement and correlates with surgical outcomes by using a...

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Detalles Bibliográficos
Autores principales: Tanaka, Naoaki, Stufflebeam, Steven M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3919017/
https://www.ncbi.nlm.nih.gov/pubmed/24574999
http://dx.doi.org/10.3389/fnhum.2014.00062
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author Tanaka, Naoaki
Stufflebeam, Steven M.
author_facet Tanaka, Naoaki
Stufflebeam, Steven M.
author_sort Tanaka, Naoaki
collection PubMed
description Magnetoencephalography (MEG), which acquires neuromagnetic fields in the brain, is a useful diagnostic tool in presurgical evaluation of epilepsy. Previous studies have shown that MEG affects the planning intracranial electroencephalography placement and correlates with surgical outcomes by using a single dipole model. Spatiotemporal source analysis using distributed source models is an advanced method for analyzing MEG, and has been recently introduced for analyzing epileptic spikes. It has advantages over the conventional single dipole analysis for obtaining accurate sources and understanding the propagation of epileptic spikes. In this article, we review the source analysis methods, describe the techniques of the distributed source analysis, interpretation of source distribution maps, and discuss the benefits and feasibility of this method in evaluation of epilepsy.
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spelling pubmed-39190172014-02-26 Clinical Application of Spatiotemporal Distributed Source Analysis in Presurgical Evaluation of Epilepsy Tanaka, Naoaki Stufflebeam, Steven M. Front Hum Neurosci Neuroscience Magnetoencephalography (MEG), which acquires neuromagnetic fields in the brain, is a useful diagnostic tool in presurgical evaluation of epilepsy. Previous studies have shown that MEG affects the planning intracranial electroencephalography placement and correlates with surgical outcomes by using a single dipole model. Spatiotemporal source analysis using distributed source models is an advanced method for analyzing MEG, and has been recently introduced for analyzing epileptic spikes. It has advantages over the conventional single dipole analysis for obtaining accurate sources and understanding the propagation of epileptic spikes. In this article, we review the source analysis methods, describe the techniques of the distributed source analysis, interpretation of source distribution maps, and discuss the benefits and feasibility of this method in evaluation of epilepsy. Frontiers Media S.A. 2014-02-10 /pmc/articles/PMC3919017/ /pubmed/24574999 http://dx.doi.org/10.3389/fnhum.2014.00062 Text en Copyright © 2014 Tanaka and Stufflebeam. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Tanaka, Naoaki
Stufflebeam, Steven M.
Clinical Application of Spatiotemporal Distributed Source Analysis in Presurgical Evaluation of Epilepsy
title Clinical Application of Spatiotemporal Distributed Source Analysis in Presurgical Evaluation of Epilepsy
title_full Clinical Application of Spatiotemporal Distributed Source Analysis in Presurgical Evaluation of Epilepsy
title_fullStr Clinical Application of Spatiotemporal Distributed Source Analysis in Presurgical Evaluation of Epilepsy
title_full_unstemmed Clinical Application of Spatiotemporal Distributed Source Analysis in Presurgical Evaluation of Epilepsy
title_short Clinical Application of Spatiotemporal Distributed Source Analysis in Presurgical Evaluation of Epilepsy
title_sort clinical application of spatiotemporal distributed source analysis in presurgical evaluation of epilepsy
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3919017/
https://www.ncbi.nlm.nih.gov/pubmed/24574999
http://dx.doi.org/10.3389/fnhum.2014.00062
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