DocumentCode
2617473
Title
From synchronization to network theory: A strategy for MEG data analysis
Author
Bucolo, Maide ; Di Grazia, F. ; Frasca, Mattia ; Sapuppo, Francesca ; Shannahoff-Khalsa, David
Author_Institution
Dipt. di Ing. Elettr., Elettron. e dei Sist., Univ. degli Studi di Catania, Catania
fYear
2008
fDate
25-27 June 2008
Firstpage
854
Lastpage
859
Abstract
The functional connectivity of the brain has been studied here using knowledge from two different scientific fields. The methods of Synchronization Likelihood and network theory are applied to magnetoencephalography (MEG) data in an effort to analyze the brain as a complex network. These studies show an interesting small-world phenomenon in functional connectivity. Network and head-map images of the results are presented.
Keywords
data analysis; magnetoencephalography; medical signal processing; neurophysiology; synchronisation; MEG data analysis; brain analysis; brain functional connectivity; complex network; head-map image; magnetoencephalography data; network theory; synchronization likelihood; Artificial neural networks; Automatic control; Automation; Brain; Coils; Data analysis; Instruments; Magnetic shielding; Network theory (graphs); Physics;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Automation, 2008 16th Mediterranean Conference on
Conference_Location
Ajaccio
Print_ISBN
978-1-4244-2504-4
Electronic_ISBN
978-1-4244-2505-1
Type
conf
DOI
10.1109/MED.2008.4602069
Filename
4602069
Link To Document