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Network Perspectives on Epilepsy Using EEG/MEG Source Connectivity
The evolution of EEG/MEG source connectivity is both, a promising, and controversial advance in the characterization of epileptic brain activity. In this narrative review we elucidate the potential of this technology to provide an intuitive view of the epileptic network at its origin, the different...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6651209/ https://www.ncbi.nlm.nih.gov/pubmed/31379703 http://dx.doi.org/10.3389/fneur.2019.00721 |
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author | van Mierlo, Pieter Höller, Yvonne Focke, Niels K. Vulliemoz, Serge |
author_facet | van Mierlo, Pieter Höller, Yvonne Focke, Niels K. Vulliemoz, Serge |
author_sort | van Mierlo, Pieter |
collection | PubMed |
description | The evolution of EEG/MEG source connectivity is both, a promising, and controversial advance in the characterization of epileptic brain activity. In this narrative review we elucidate the potential of this technology to provide an intuitive view of the epileptic network at its origin, the different brain regions involved in the epilepsy, without the limitation of electrodes at the scalp level. Several studies have confirmed the added value of using source connectivity to localize the seizure onset zone and irritative zone or to quantify the propagation of epileptic activity over time. It has been shown in pilot studies that source connectivity has the potential to obtain prognostic correlates, to assist in the diagnosis of the epilepsy type even in the absence of visually noticeable epileptic activity in the EEG/MEG, and to predict treatment outcome. Nevertheless, prospective validation studies in large and heterogeneous patient cohorts are still lacking and are needed to bring these techniques into clinical use. Moreover, the methodological approach is challenging, with several poorly examined parameters that most likely impact the resulting network patterns. These fundamental challenges affect all potential applications of EEG/MEG source connectivity analysis, be it in a resting, spiking, or ictal state, and also its application to cognitive activation of the eloquent area in presurgical evaluation. However, such method can allow unique insights into physiological and pathological brain functions and have great potential in (clinical) neuroscience. |
format | Online Article Text |
id | pubmed-6651209 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-66512092019-08-02 Network Perspectives on Epilepsy Using EEG/MEG Source Connectivity van Mierlo, Pieter Höller, Yvonne Focke, Niels K. Vulliemoz, Serge Front Neurol Neurology The evolution of EEG/MEG source connectivity is both, a promising, and controversial advance in the characterization of epileptic brain activity. In this narrative review we elucidate the potential of this technology to provide an intuitive view of the epileptic network at its origin, the different brain regions involved in the epilepsy, without the limitation of electrodes at the scalp level. Several studies have confirmed the added value of using source connectivity to localize the seizure onset zone and irritative zone or to quantify the propagation of epileptic activity over time. It has been shown in pilot studies that source connectivity has the potential to obtain prognostic correlates, to assist in the diagnosis of the epilepsy type even in the absence of visually noticeable epileptic activity in the EEG/MEG, and to predict treatment outcome. Nevertheless, prospective validation studies in large and heterogeneous patient cohorts are still lacking and are needed to bring these techniques into clinical use. Moreover, the methodological approach is challenging, with several poorly examined parameters that most likely impact the resulting network patterns. These fundamental challenges affect all potential applications of EEG/MEG source connectivity analysis, be it in a resting, spiking, or ictal state, and also its application to cognitive activation of the eloquent area in presurgical evaluation. However, such method can allow unique insights into physiological and pathological brain functions and have great potential in (clinical) neuroscience. Frontiers Media S.A. 2019-07-17 /pmc/articles/PMC6651209/ /pubmed/31379703 http://dx.doi.org/10.3389/fneur.2019.00721 Text en Copyright © 2019 van Mierlo, Höller, Focke and Vulliemoz. http://creativecommons.org/licenses/by/4.0/ 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) and the copyright owner(s) 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 | Neurology van Mierlo, Pieter Höller, Yvonne Focke, Niels K. Vulliemoz, Serge Network Perspectives on Epilepsy Using EEG/MEG Source Connectivity |
title | Network Perspectives on Epilepsy Using EEG/MEG Source Connectivity |
title_full | Network Perspectives on Epilepsy Using EEG/MEG Source Connectivity |
title_fullStr | Network Perspectives on Epilepsy Using EEG/MEG Source Connectivity |
title_full_unstemmed | Network Perspectives on Epilepsy Using EEG/MEG Source Connectivity |
title_short | Network Perspectives on Epilepsy Using EEG/MEG Source Connectivity |
title_sort | network perspectives on epilepsy using eeg/meg source connectivity |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6651209/ https://www.ncbi.nlm.nih.gov/pubmed/31379703 http://dx.doi.org/10.3389/fneur.2019.00721 |
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