Rich club differentiation of phase synchronization EEG responses
(EN)
Ζερβακης Μιχαηλ
(EL)
Αντωνακακης Μαριος
(EL)
Τσίρκα Βασιλική
(EL)
Μιχελογιάννης Σήφης
(EL)
Micheloyannis SifisMichelogiannis Sifis
(EN)
Tsirka Vasiliki
(EN)
Dimitriadis Stavros I.
(EN)
Antonakakis Marios
(EN)
Zervakis Michail
(EN)
Πολυτεχνείο Κρήτης
(EL)
Technical University of Crete
(EN)
Neural synchrony can be measured non- invasively with electroengephalography (EEG). There is a large body of evidence from such recordings indicating a close relation between synchronous oscillatory activity and a variety of perceptual and cognitive functions [1], with complex visual stimuli providing an intense. Kanizsa shape perception is a complex visual process that builds illusory contour from spatially segregated edges [1]. Another interesting visual stimulus relates to fractal images, which are included in complex geometric shapes and characterized by fractal dimension [1]. Computer-network methods used to construct brain networks, where nodes represent scalp electrodes or estimated intracranial sources derived from EEG data. The rich club (RC) coefficient is suggested to be important for global neural communication and is increased when the high degree nodes of a network tend to be more densely connected among themselves than expected by chance [2]. However, it is not yet clear how the global neural communication is modeled on EEG recordings during complex visual stimuli.
Scope: We examine patterns associated with RC nodes of a functional connectivity graph (FGC) of EEG data between the two complex stimuli
(EN)
