EEG and MEG Data Analysis in SPM8
Author(s) -
Vladimir Litvak,
Jérémie Mattout,
Stefan J. Kiebel,
Christophe Phillips,
Richard N. Henson,
James M. Kilner,
Gareth R. Barnes,
Robert Oostenveld,
Jean Daunizeau,
Guillaume Flandin,
W.D. Penny,
Karl Friston
Publication year - 2011
Publication title -
computational intelligence and neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.605
H-Index - 52
eISSN - 1687-5273
pISSN - 1687-5265
DOI - 10.1155/2011/852961
Subject(s) - computer science , toolbox , preprocessor , pattern recognition (psychology) , electroencephalography , graphical user interface , artificial intelligence , matlab , bayesian probability , data mining , neuroscience , biology , programming language , operating system
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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