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EEG and MEG Data Analysis in SPM8

Vladimir Litvak A (Wellcome Centre for Human Neuroimaging, National Hospital for Neurology and Neurosurgery), Jérémie Mattout (Centre National de la Recherche Scientifique, Inserm), Stefan J. Kiebel (Max Planck Society, Max Planck Institute for Human Cognitive and Brain Sciences), Christophe L. M. Phillips (University of Liège), Richard N. Henson (MRC Cognition and Brain Sciences Unit), James Morvan Kilner (Wellcome Centre for Human Neuroimaging, National Hospital for Neurology and Neurosurgery), Gareth Robert Barnes (Wellcome Centre for Human Neuroimaging, National Hospital for Neurology and Neurosurgery), Robert Oostenveld (Radboud University Nijmegen, Donders Institute for Brain, Cognition and Behaviour), Jean Daunizeau A (Wellcome Centre for Human Neuroimaging, National Hospital for Neurology and Neurosurgery), Guillaume Flandin (Wellcome Centre for Human Neuroimaging, National Hospital for Neurology and Neurosurgery), W.D. Penny (Wellcome Centre for Human Neuroimaging, National Hospital for Neurology and Neurosurgery), Karl John Friston (Wellcome Centre for Human Neuroimaging, National Hospital for Neurology and Neurosurgery)

Computational Intelligence and Neuroscience
DOI: 10.1155/2011/852961 (Neuroscience)
License: CC BY

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.

Published on 01 Jan. 2011