<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/5131E446-AABD-44D7-ACD4-F34172A1CCD8"><efrbr-work:titleOfTheWork>Using graph theoretical methods to evaluate EEG signals in schizophrenia</efrbr-work:titleOfTheWork></efrbr-work:work><efrbr-expression:expression identifier="http://purl.tuc.gr/dl/dias/5131E446-AABD-44D7-ACD4-F34172A1CCD8"><efrbr-expression:titleOfTheExpression>Using graph theoretical methods to evaluate EEG signals in schizophrenia</efrbr-expression:titleOfTheExpression><efrbr-expression:formOfExpression vocabulary="DIAS:TYPES">
            Σύντομη Δημοσίευση σε Συνέδριο
            Conference Short Paper
         </efrbr-expression:formOfExpression><efrbr-expression:dateOfExpression type="issued">2015-10-26</efrbr-expression:dateOfExpression><efrbr-expression:dateOfExpression type="published">2006</efrbr-expression:dateOfExpression><efrbr-expression:languageOfExpression vocabulary="iso639-1">en</efrbr-expression:languageOfExpression><efrbr-expression:summarizationOfContent>Higher brain functions are companied by synchronous neuronal interplay expressed by the different EEG bands. Analyzing these bands is possible to study the complexity of neuronal assemblies. Nonlinearity, nonstationarity and complexity characterize physiologic systems including CNS. The myriad of structural units and feedback loops of the brain operate over a wide range of spatial and temporal scales. This information is included in EEG signals.</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">23</efrbr-expression:note><efrbr-expression:note type="conference name">Biopattern Brain Workshop</efrbr-expression:note></efrbr-expression:expression><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="http://viaf.org/viaf/313493643"><efrbr-person:nameOfPerson vocabulary="VIAF">
            Sakkalis, Vangelis
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            Ερημάκη Σοφία
            Erimaki Sophia
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            Πάχου Έλλη
            Pachou Ellie
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            Oikonomou Theophanis
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            Μιχελογιάννης Σήφης
            Micheloyannis Sifis
            Michelogiannis Sifis
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            Τσίρκα Βασιλική
            Tsirka Vasiliki
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            Τόλης Γιάννης
            Tolis Yannis
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            Basic medical sciences
            Basic sciences, Medical
            Biomedical sciences
            Health sciences
            Preclinical sciences
            Sciences, Medical
            medical sciences
            basic medical sciences
            basic sciences medical
            biomedical sciences
            health sciences
            preclinical sciences
            sciences medical
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