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Network perspectives on epilepsy using EEG/MEG source connectivity

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dc.contributor.author van Mierlo, Pieter
dc.contributor.author Höller, Yvonne
dc.contributor.author Focke, Niels K.
dc.contributor.author Vulliemoz, Serge
dc.date.accessioned 2022-03-31T01:01:30Z
dc.date.available 2022-03-31T01:01:30Z
dc.date.issued 2019
dc.identifier.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
dc.identifier.issn 1664-2295
dc.identifier.other 29884996
dc.identifier.other d47db2f9-06e6-4549-a58b-2fdebb81a094
dc.identifier.other 85076704561
dc.identifier.uri https://hdl.handle.net/20.500.11815/2999
dc.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.
dc.description.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.
dc.description.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.
dc.format.extent 1438768
dc.format.extent
dc.language.iso en
dc.relation.ispartofseries Frontiers in Neurology; 10()
dc.rights info:eu-repo/semantics/openAccess
dc.subject Taugasjúkdómar
dc.subject Flogaveiki
dc.subject Heilinn
dc.subject Heilastarfsemi
dc.subject Heilarit
dc.subject EEG/MEG source connectivity
dc.subject Epilepsy
dc.subject Interictal epileptiform discharges
dc.subject Resting state
dc.subject Seizures
dc.subject Neurology
dc.subject Neurology (clinical)
dc.title Network perspectives on epilepsy using EEG/MEG source connectivity
dc.type /dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/systematicreview
dc.description.version Peer reviewed
dc.identifier.doi 10.3389/fneur.2019.00721
dc.relation.url http://www.scopus.com/inward/record.url?scp=85076704561&partnerID=8YFLogxK
dc.contributor.school School of Humanities and Social Sciences


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