Title :
Analysis of brain connectivity in simultaneous EEG/fMRI
Author :
Martin Lamoš;Michal Mikl;Jirí Jan
Author_Institution :
Department of Biomedical Engineering, Brno University of Technology, Czech Republic
fDate :
4/1/2012 12:00:00 AM
Abstract :
Functional magnetic resonance imaging utilizing the blood oxygenation level dependent effect as an indicator of local activity is a very useful technique to identify active brain regions. Currently, there is a growing interest in studying the connectivity between different brain regions. This contribution summarizes the approach of enhancing the fMRI analysis by fusing EEG data processing with fMRI statistical analysis. This leads to a more precise localization of the specific active areas, which might be the initial regions for analysis of effective brain connectivity using the dynamic causal modelling. The technique is tested on the simultaneously measured dataset EEG/fMRI.
Keywords :
"Electroencephalography","Mathematical model","Brain models","Analytical models","Magnetic resonance imaging","Vectors"
Conference_Titel :
Systems, Signals and Image Processing (IWSSIP), 2012 19th International Conference on
Print_ISBN :
978-1-4577-2191-5