EEG and MEG Data Analysis in SPM8

作者：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 · 发表于：Computational Intelligence and Neuroscience · 年份：2011 · DOI：10.1155/2011/852961 · 被引用次数：613 · 研究领域：Neural dynamics and brain function、Functional Brain Connectivity Studies、Blind Source Separation Techniques

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.