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

fYear

2011

fDate

13-16 May 2011

Firstpage

9

Lastpage

11

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/NFSI.2011.5936808

Filename

5936808