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Network perspectives on epilepsy using EEG/MEG source connectivity

Network perspectives on epilepsy using EEG/MEG source connectivity


Title: Network perspectives on epilepsy using EEG/MEG source connectivity
Author: van Mierlo, Pieter
Höller, Yvonne   orcid.org/0000-0002-1727-8557
Focke, Niels K.
Vulliemoz, Serge
Date: 2019
Language: English
Scope:
School: School of Humanities
Series: Frontiers in Neurology; 10()
ISSN: 1664-2295
DOI: https://doi.org/10.3389/fneur.2019.00721
Subject: Taugasjúkdómar; Flogaveiki; Heilinn; Heilastarfsemi; Heilarit; EEG/MEG source connectivity; Epilepsy; Interictal epileptiform discharges; Resting state; Seizures; Neurology; Neurology (clinical)
URI: https://hdl.handle.net/20.500.11815/2999

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Citation:

van Mierlo , P , Höller , Y , Focke , N K & Vulliemoz , S 2019 , ' Network perspectives on epilepsy using EEG/MEG source connectivity ' , Frontiers in Neurology , vol. 10 , 721 . https://doi.org/10.3389/fneur.2019.00721

Abstract:

 
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.
 
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.
 

Description:

Funding Information: PvM was funded by the Swiss National Science Foundation grant Nos. 179873 and 180365. YH was supported by the Austrian Science Fund (FWF): T 798-B27 and by the PMU-FFF: A-16/02/021-H?L. NF was funded by Deutsche 1203 Forschungsgemeinschaft grant Nos. FO750/5-1 and FO750/7-1. SV was funded by Swiss National Science Foundation grant Nos. 169198 and 170873 and the Foundation Gertrude von Meissner. Part of this work was performed within the FLAG-ERA/JTC 2017 SCALES project. Publisher Copyright: © 2019 van Mierlo, Höller, Focke and Vulliemoz.

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