DocumentCode
3113430
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
fYear
2013
fDate
13-15 Dec. 2013
Firstpage
1
Lastpage
4
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;
fLanguage
English
Publisher
ieee
Conference_Titel
India Conference (INDICON), 2013 Annual IEEE
Conference_Location
Mumbai
Print_ISBN
978-1-4799-2274-1
Type
conf
DOI
10.1109/INDCON.2013.6726126
Filename
6726126
Link To Document