Publication:
Neuroconnectivity analysis under mental workload and resting state conditions

dc.contributor.authorsDuru, Adil Deniz; Balcioglu, Hayri Taylan; Guney, Selen; Goksel Duru, Dilek
dc.date.accessioned2022-03-12T16:23:38Z
dc.date.accessioned2026-01-10T21:15:15Z
dc.date.available2022-03-12T16:23:38Z
dc.date.issued2017
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.
dc.identifier.doidoiWOS:000427649500054
dc.identifier.isbn978-1-5386-0633-9
dc.identifier.urihttps://hdl.handle.net/11424/225945
dc.identifier.wosWOS:000427649500054
dc.language.isotur
dc.publisherIEEE
dc.relation.ispartof2017 MEDICAL TECHNOLOGIES NATIONAL CONGRESS (TIPTEKNO)
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectmental workload
dc.subjectcoherence
dc.subjectresting state networks
dc.subjectFMRI DATA
dc.titleNeuroconnectivity analysis under mental workload and resting state conditions
dc.typeconferenceObject
dspace.entity.typePublication
oaire.citation.title2017 MEDICAL TECHNOLOGIES NATIONAL CONGRESS (TIPTEKNO)

Files