<efrbr:recordSet xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:efrbr="http://vfrbr.info/efrbr/1.1" xmlns:efrbr-work="http://vfrbr.info/efrbr/1.1/work" xmlns:efrbr-expression="http://vfrbr.info/efrbr/1.1/expression" xmlns:efrbr-manifestation="http://vfrbr.info/efrbr/1.1/manifestation" xmlns:efrbr-person="http://vfrbr.info/efrbr/1.1/person" xmlns:efrbr-corporateBody="http://vfrbr.info/efrbr/1.1/corporateBody" xmlns:efrbr-concept="http://vfrbr.info/efrbr/1.1/concept" xmlns:efrbr-structure="http://vfrbr.info/efrbr/1.1/structure" xmlns:efrbr-responsible="http://vfrbr.info/efrbr/1.1/responsible" xmlns:efrbr-subject="http://vfrbr.info/efrbr/1.1/subject" xmlns:efrbr-other="http://vfrbr.info/efrbr/1.1/other" xsi:schemaLocation="http://vfrbr.info/efrbr/1.1 http://vfrbr.info/schemas/1.1/efrbr.xsd"><efrbr:entities><efrbr-work:work identifier="http://purl.tuc.gr/dl/dias/09712AE9-E4CD-46EE-90DF-47A737E54FF7"><efrbr-work:titleOfTheWork>Combined EEG/MEG source reconstruction of epileptic activity using a two-phase spike clustering approach</efrbr-work:titleOfTheWork></efrbr-work:work><efrbr-expression:expression identifier="http://purl.tuc.gr/dl/dias/09712AE9-E4CD-46EE-90DF-47A737E54FF7"><efrbr-expression:titleOfTheExpression>Combined EEG/MEG source reconstruction of epileptic activity using a two-phase spike clustering approach</efrbr-expression:titleOfTheExpression><efrbr-expression:formOfExpression vocabulary="DIAS:TYPES">
            Πλήρης Δημοσίευση σε Συνέδριο
            Conference Full Paper
         </efrbr-expression:formOfExpression><efrbr-expression:dateOfExpression type="issued">2020-04-22</efrbr-expression:dateOfExpression><efrbr-expression:dateOfExpression type="published">2019</efrbr-expression:dateOfExpression><efrbr-expression:languageOfExpression vocabulary="iso639-1">en</efrbr-expression:languageOfExpression><efrbr-expression:summarizationOfContent>In recent years, several approaches have been introduced for estimating the spike onset zone within the irritative zone in epilepsy diagnosis for presurgical planning. One important direction utilizes source analysis from combined electroencephalography (EEG) and magnetoencephalography (MEG), EMEG, leveraging the benefits from the complementary properties of the two modalities. For EMEG source reconstruction, an average across the annotated epileptic spikes is often used to improve the signal-to-noise-ratio (SNR). In this contribution, we propose a two-phase clustering of interictal spikes with unsupervised learning methods, namely Self Organizing Maps (SOM) and K-means. In addition, we investigate the accuracy of combined EMEG source analysis on the sorted activity, using an individualized (with regard to both geometry and conductivity) six-compartment finite element head model with calibrated skull conductivity and white matter conductivity anisotropy. The results indicate that SOM eliminates the random variations of K-means and stabilizes the clustering efficiency. In terms of source reconstruction accuracy, this study demonstrates that the combined use of modalities reveals activity around two focal cortical dysplasias (FCDs), of one epilepsy patient, one in the right frontal area and one smaller in the left premotor cortex. It is worth mentioning that only EMEG could localize the left premotor FCD, which was then also found in surgery to be the responsible for triggering the epilepsy.</efrbr-expression:summarizationOfContent><efrbr-expression:useRestrictionsOnTheExpression type="creative-commons">http://creativecommons.org/licenses/by/4.0/</efrbr-expression:useRestrictionsOnTheExpression><efrbr-expression:note type="page range">877-881</efrbr-expression:note><efrbr-expression:note type="conference name">19th International Conference on Bioinformatics and Bioengineering</efrbr-expression:note><efrbr-expression:note type="proceedings title">Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering</efrbr-expression:note></efrbr-expression:expression><efrbr-person:person identifier="http://users.isc.tuc.gr/~vdimakopoulos"><efrbr-person:nameOfPerson vocabulary="TUC:LDAP">
            Dimakopoulos Vasileios
            Δημακοπουλος Βασιλειος
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            Moeddel Gabriel
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-person:person identifier="http://viaf.org/viaf/303881251"><efrbr-person:nameOfPerson vocabulary="VIAF">
            Wellmer, Jörg
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-person:person identifier="http://viaf.org/viaf/43003883"><efrbr-person:nameOfPerson vocabulary="VIAF">
            Rampp, Stefan 1975-
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-person:person identifier="http://users.isc.tuc.gr/~mzervakis"><efrbr-person:nameOfPerson vocabulary="TUC:LDAP">
            Zervakis Michail
            Ζερβακης Μιχαηλ
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-person:person identifier="973D16D0-E844-4F27-BBCA-82521E33CBE6"><efrbr-person:nameOfPerson vocabulary="">
            Wolters Carsten Hermann
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-person:person identifier="http://users.isc.tuc.gr/~mantonakakis"><efrbr-person:nameOfPerson vocabulary="TUC:LDAP">
            Antonakakis Marios
            Αντωνακακης Μαριος
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-corporateBody:corporateBody identifier="http://www.ieee.org/index.html"><efrbr-corporateBody:nameOfTheCorporateBody vocabulary="S/R:PUBLISHERS">
            Institute of Electrical and Electronics Engineers
         </efrbr-corporateBody:nameOfTheCorporateBody></efrbr-corporateBody:corporateBody><efrbr-concept:concept identifier="742095D7-E211-4B27-9B05-6C433C472899"><efrbr-concept:termForTheConcept>
            EEG
         </efrbr-concept:termForTheConcept></efrbr-concept:concept><efrbr-concept:concept identifier="97679B41-5989-42C7-A6C0-92909C620293"><efrbr-concept:termForTheConcept>
            Epilepsy
         </efrbr-concept:termForTheConcept></efrbr-concept:concept><efrbr-concept:concept identifier="6A9560CD-E71F-4C9A-8602-73CCAF32DCDC"><efrbr-concept:termForTheConcept>
            Finite Element Method
         </efrbr-concept:termForTheConcept></efrbr-concept:concept><efrbr-concept:concept identifier="D5BBEBF0-7DD2-4FAD-AD50-986C7DBECDF6"><efrbr-concept:termForTheConcept>
            MEG
         </efrbr-concept:termForTheConcept></efrbr-concept:concept><efrbr-concept:concept identifier="AC62F7CC-0715-4710-8AE8-17541AC222A1"><efrbr-concept:termForTheConcept>
            Multimodal Imaging
         </efrbr-concept:termForTheConcept></efrbr-concept:concept><efrbr-concept:concept identifier="B8325974-A5B2-409C-945E-8BC1A57CA45B"><efrbr-concept:termForTheConcept>
            Spike Clustering
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