A minimal spanning tree analysis of EEG responses to complex visual stimuliA minimal spanning tree analysis of EEG responses to complex visual stimuli Πλήρης Δημοσίευση σε Συνέδριο Conference Full Paper 2015-10-242014enHuman brain is the most complicated network and its functional mechanism is a demanding concept in neuroscience research. Graph theory and forms an interesting tool for modeling the brain interactions and estimated brain parameters. In this paper, we consider synchronization features for modeling brain operations in electro-encephalogram (EEG) responses to kanizsa and fractal stimuli, using minimal spanning tree (MST) on a network of phase synchronization EEG channels. Graphs of phase-synchronization activity and MST structures are computed using these graphs. The proposed approach yields evidence that the fractal stimuli generate stronger energy response and synchronization of theta band in occipital lobe. http://creativecommons.org/licenses/by/4.0/652-656IEEE 26th International Conference on Tools with Artificial Intelligence Zervakis Michalis Ζερβακης Μιχαλης Antonakakis Marios Αντωνακακης Μαριος Μιχελογιάννης Σήφης Michelogiannis Sifis Micheloyannis Sifis Tsirka Vasiliki Τσίρκα Βασιλική Institute of Electrical and Electronics Engineers Clinical laboratory technicians Medical laboratory technicians medical technologists clinical laboratory technicians medical laboratory technicians Fractals EEG Electroencephalography Synchronization Visualization Shape Frequency synchronization Estimation