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dc.contributor.authorDuru, Adil Denizen_US
dc.contributor.authorBalcıoğlu, Hayri Taylanen_US
dc.contributor.authorGüney, Selenen_US
dc.contributor.authorGöksel Duru, Dileken_US
dc.date.accessioned2019-07-25T10:02:02Z
dc.date.available2019-07-25T10:02:02Z
dc.date.issued2017en_US
dc.identifier.citationDuru, A. D., Balcioglu, H. T., Guney, S., Goksel Duru, D., & Ieee. (2017). Neuroconnectivity analysis under mental workload and resting state conditions. New York: Ieee.en_US
dc.identifier.isbn9781538606339
dc.identifier.urihttps://hdl.handle.net/20.500.12294/1603
dc.identifier.urihttps://dx.doi.org/10.1109/TIPTEKNO.2017.8238080
dc.descriptionGöksel Duru, Dilek (Arel Author)en_US
dc.description.abstractBrain activation can be observed by means of electrical and haemodynamic responses under the resting state condition. Several brain regions are synchronously activated to form functional brain networks during the resting state condition or while perforing a mental task. In the concept of this study, brain dynamics are measured using EEG and fMRI during rest and EEG is measured during a chess game which is used to increase the mental workload. fMRI measurements are analyzed using a seed based network computation technique while coherence computations are performed on EEG in order to deduce functional connectivity maps. EEG coherence maps are obtained after the solution of the inverse problem. So, connectivity is analyzed in the source domain. The cortex is parcellated with 84 node locations. The mental workload paradigm exhibited increased alpha band coherence in the prefrontal cortex.en_US
dc.language.isoturen_US
dc.publisherIEEEen_US
dc.relation.ispartof2017 Medical Technologies National Congress (TIPTEKNO)en_US
dc.identifier.doi10.1109/TIPTEKNO.2017.8238080en_US
dc.identifier.doi10.1109/TIPTEKNO.2017.8238080
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMental Workloaden_US
dc.subjectCoherenceen_US
dc.subjectResting State Networksen_US
dc.titleNeuroconnectivity analysis under mental workload and resting state conditionsen_US
dc.title.alternativeMental yüklenme ve dinlenim durumunda nörobağlantısallık analizien_US
dc.typeconferenceObjecten_US
dc.departmentMühendislik ve Mimarlık Fakültesi, Biyomedikal Mühendisliği Bölümüen_US
dc.authorid0000-0003-1484-8603en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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