A new novel synchronization index of brain networks in hyperbolic EEG dynamics

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dc.authorid0000-0002-5508-741X
dc.authorid0000-0002-5508-741Xen_US
dc.contributor.authorDemirer, Rüştü Muraten_US
dc.date.accessioned2022-09-28T07:06:59Z
dc.date.available2022-09-28T07:06:59Z
dc.date.issued2022-06
dc.departmentIşık Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering and Natural Sciences, Department of Electrical and Electronics Engineeringen_US
dc.description.abstractThe functional connectivity ofbrain connectivity changes its pattern over time i.e. dynamics, even in the resting state with an infinite number of degrees of freedom with local couplings. Recently, quantifying the level of synchrony has received considerable attention. We hypothesized that time-varying instantaneous phase synchronization over local couplings are defined in hyperbolic space and different brain regions can identify failures, flexibility, and stability in network dynamics.Our goal is to understand the phase synchronization changes of the beta-gamma band, and in addition, to investigate Shannon entropy based on phase synchronization stability. Whole EEG dynamics from local phase synchronizations was used to detect treatment resistance from both hemispheres in OCD patients. Temporal filtering and Hilbert transforms were performed to infer beta-gamma band phase difference activity from the EEG brain dynamics.Then, the response beta-gamma band phase stability was quantified using a new phase synchronization index (PSI). Results indicated significantly changed phase synchronization of the response and non-response to treatment, patients in OCD patients in F7 electrode. Greater phase fluctuations of beta-gamma synchronizations in treatment resistance OCD is claiming phase deficiencies within neural populations.This study first provides experimental and theoretical support for characterizing cycle structure depends on the non-Euclidian dynamics of neural phase synchrony caused by disturbances of underlying neurotransmitter systems, as reflected in different normal and disease states.en_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationDemirer, R. M. (2022). A new novel synchronization index of brain networks in hyperbolic EEG dynamics. Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 26(3), 600-607. doi:10.16984/saufenbilder.999015en_US
dc.identifier.endpage607
dc.identifier.issn1301-4048en_US
dc.identifier.issn2147-835Xen_US
dc.identifier.issue3
dc.identifier.startpage600
dc.identifier.urihttps://hdl.handle.net/11729/4902
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/533332
dc.identifier.urihttp://dx.doi.org/10.16984/saufenbilder.999015
dc.identifier.volume26
dc.indekslendigikaynakTR-Dizinen_US
dc.institutionauthorDemirer, Rüştü Muraten_US
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherSakarya Üniversitesi Fen Bilimleri Enstitüsüen_US
dc.relation.ispartofSakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisien_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectHilbert transform Shannon entropyen_US
dc.subjectSVM algorithmen_US
dc.subjectTass synchronizationen_US
dc.titleA new novel synchronization index of brain networks in hyperbolic EEG dynamicsen_US
dc.typeArticleen_US

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