Title :
Complex brain networks using Visibility Graph synchronization
Author :
Sengupta, Aparajita ; Routray, A. ; Kar, Soummya
Author_Institution :
Dept. of Electr. Eng., IIT Kharagpur, Kharagpur, India
Abstract :
Coordination between brain areas has been extensively studied by analyzing the synchronization of EEG signals generated in these areas. This paper proposes a complex network structure of the brain using the Visibility Graph Similarity technique to study the change of connectivity among brain areas at various stages of an experiment involving sleep-deprived subjects. The parameters of the network have also been compared with that of a complex network with a randomly chosen degree of connectivity.
Keywords :
electroencephalography; graphs; medical signal processing; sleep; synchronisation; EEG signal generation; brain area coordination; complex brain networks; complex network structure; randomly chosen degree-of-connectivity; sleep-deprived subjects; visibility graph similarity technique; visibility graph synchronization; Brain; Complex networks; Electroencephalography; Fatigue; Oscillators; Synchronization; Time series analysis; Complex Networks; EEG Synchronization; Visibility Graph Technique;
Conference_Titel :
India Conference (INDICON), 2013 Annual IEEE
Conference_Location :
Mumbai
Print_ISBN :
978-1-4799-2274-1
DOI :
10.1109/INDCON.2013.6726126
