Title :
MEG-based brain functional connectivity analysis using eConnectome
Author :
Dai, Yakang ; He, Bin
Author_Institution :
Dept. of Biomed. Eng., Univ. of Minnesota, Minneapolis, MN, USA
Abstract :
eConnectome (electrophysiological Connectome) is an open-source MATLAB software platform with graphical user interfaces for mapping and imaging brain functional connectivity from electrophysiological signals including EEG, ECoG and MEG. We introduce the software platform and report the newly included functionality of MEG connectivity analysis. Simulated and real MEG data were analyzed using the eConnectome. The results indicate the validity of the eConnectome for brain activity and connectivity mapping from MEG data.
Keywords :
bioelectric phenomena; data analysis; electroencephalography; magnetoencephalography; mathematics computing; medical signal processing; ECoG; EEG; MEG connectivity analysis; MEG data analysis; MEG-based brain functional connectivity analysis; brain activity; connectivity mapping; eConnectome; electrocorticogram; electroencephalogram; electrophysiological Connectome; electrophysiological signals; graphical user interfaces; magnetoencephalogram; open-source MATLAB software platform; Brain; Electroencephalography; Estimation; Helium; Imaging; Scalp; Software;
Conference_Titel :
Noninvasive Functional Source Imaging of the Brain and Heart & 2011 8th International Conference on Bioelectromagnetism (NFSI & ICBEM), 2011 8th International Symposium on
Conference_Location :
Banff, AB
Print_ISBN :
978-1-4244-8282-5
DOI :
10.1109/NFSI.2011.5936808
