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...
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doaj-b3ccc408a1ac4a9fa68290f98f7328d32020-11-25T02:20:17ZengFrontiers Media S.A.Frontiers in Neurology1664-22952019-07-011010.3389/fneur.2019.00721451129Network Perspectives on Epilepsy Using EEG/MEG Source ConnectivityPieter van Mierlo0Yvonne Höller1Niels K. Focke2Serge Vulliemoz3Medical Image and Signal Processing Group, Ghent University, Ghent, BelgiumFaculty of Psychology, University of Akureyri, Akureyri, IcelandClinical Neurophysiology, University Medicine Göttingen, Göttingen, GermanyEEG and Epilepsy Unit, University Hospital of Geneva, Geneva, SwitzerlandThe 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.https://www.frontiersin.org/article/10.3389/fneur.2019.00721/fullEEG/MEG source connectivityepilepsyinterictal epileptiform dischargesseizuresresting state |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Pieter van Mierlo Yvonne Höller Niels K. Focke Serge Vulliemoz |
spellingShingle |
Pieter van Mierlo Yvonne Höller Niels K. Focke Serge Vulliemoz Network Perspectives on Epilepsy Using EEG/MEG Source Connectivity Frontiers in Neurology EEG/MEG source connectivity epilepsy interictal epileptiform discharges seizures resting state |
author_facet |
Pieter van Mierlo Yvonne Höller Niels K. Focke Serge Vulliemoz |
author_sort |
Pieter van Mierlo |
title |
Network Perspectives on Epilepsy Using EEG/MEG Source Connectivity |
title_short |
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_sort |
network perspectives on epilepsy using eeg/meg source connectivity |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Neurology |
issn |
1664-2295 |
publishDate |
2019-07-01 |
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. |
topic |
EEG/MEG source connectivity epilepsy interictal epileptiform discharges seizures resting state |
url |
https://www.frontiersin.org/article/10.3389/fneur.2019.00721/full |
work_keys_str_mv |
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