MEG-based brain functional connectivity analysis using eConnectome

Yakang Dai, Bin He

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

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.

Original languageEnglish (US)
Title of host publication2011 8th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart and the 2011 8th International Conference on Bioelectromagnetism, NFSI and ICBEM 2011
Pages9-11
Number of pages3
DOIs
StatePublished - Jul 28 2011
Event2011 8th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart and the 2011 8th International Conference on Bioelectromagnetism, NFSI and ICBEM 2011 - Banff, AB, Canada
Duration: May 13 2011May 16 2011

Publication series

Name2011 8th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart and the 2011 8th International Conference on Bioelectromagnetism, NFSI and ICBEM 2011

Other

Other2011 8th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart and the 2011 8th International Conference on Bioelectromagnetism, NFSI and ICBEM 2011
CountryCanada
CityBanff, AB
Period5/13/115/16/11

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