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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2014
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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. |
format | Online Article Text |
id | pubmed-3919017 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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