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
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;
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
DOI :
10.1109/MED.2008.4602069
