EEG and MEG data analysis in SPM8

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EEG and MEG data analysis in SPM8
Authors: Vladimir Litvak, Jeremie Mattout, Stefan Kiebel, Christophe Phillips, Richard Henson, James Kilner, Gareth Barnes, Robert Oostenveld, Jean Daunizeau, Guillaume Flandin, Will Penny, Karl Friston
Citation: Computational intelligence and neuroscience 2011 : 852961. 2011
Database(s): Google Scholar cites PubMed (PMID/21437221)
DOI: 10.1155/2011/852961.
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Format: BibTeX Template from PMID

EEG and MEG data analysis in SPM8 describes the EEG and MEG data analysis methods in SPM8.

[edit] Abstract

SPM is a free and open source software written in MATLAB (The MathWorks, Inc.). In addition to standard M/EEG preprocessing, we presently offer three main analysis tools: (i) statistical analysis of scalp-maps, time-frequency images, and volumetric 3D source reconstruction images based on the general linear model, with correction for multiple comparisons using random field theory; (ii) Bayesian M/EEG source reconstruction, including support for group studies, simultaneous EEG and MEG, and fMRI priors; (iii) dynamic causal modelling (DCM), an approach combining neural modelling with data analysis for which there are several variants dealing with evoked responses, steady state responses (power spectra and cross-spectra), induced responses, and phase coupling. SPM8 is integrated with the FieldTrip toolbox , making it possible for users to combine a variety of standard analysis methods with new schemes implemented in SPM and build custom analysis tools using powerful graphical user interface (GUI) and batching tools.

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