EEG and MEG Data Analysis in SPM8

By Vladimir Litvak, Jérémie Mattout, Stefan J. Kiebel, Christophe L. M. Phillips, Richard N. Henson, James M. Kilner, Gareth Robert Barnes, Robert Oostenveld, Jean Daunizeau, Guillaume Flandin and 2 more. Computational Intelligence and Neuroscience, 2011

600 citations recorded by the source corpus.

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.

Subfields: Cognitive Neuroscience, Signal Processing

View Paper: https://www.semanticscholar.org/paper/b91c8e3e630f2cbfb4071aee54be970c38be1053

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Citations in the corpus

MEG and EEG data analysis with MNE-Python (2013, methodology): “Figure 4 presents example results of applying the LCMV beamformer to the sample data set for comparison with results achieved using dSPM.”
Analysing concurrent transcranial magnetic stimulation and electroencephalographic data: A review and introduction to the open‐source TESA software (2017, unknown): “…advanced EEGLAB analysis functionality (e.g. time-frequency analysis) or output the cleaned TEP data to other open source programs such as FieldTrip (Oostenveld et al., 2011) or SPM (Litvak et al., 2011) for more principled analyses (e.g. cluster-based methods or statistical parametric mapping).”
MNE software for processing MEG and EEG data (2013, methodology): “…et al., 2011), EEGLAB (Delorme and Makeig, 2004; Delorme et al., 2011), FieldTrip (Oostenveld et al., 2011), NutMeg (Dalal et al., 2011) and SPM (Litvak et al., 2011), all implemented in Matlab, with some dependencies on external packages such as OpenMEEG (Gramfort et al., 2010) for boundary…”
Brain templates and atlases (2012, methodology): “…the high definition proved too attractive to the community and, after non-linear mapping to fit the MNI305 space, it has been adopted by many groups as a stereotaxic template (e.g., AFNI, Cox, in press; Brainstorm, Tadel et al., 2011; SPM, Litvak et al., 2011; Fieldtrip, Oostenveld et al., 2011).”
Autoreject: Automated artifact rejection for MEG and EEG data (2016, background): “Luckily, popular software tools such as Brainstorm (Tadel et al., 2011), EEGLAB (Delorme and Makeig, 2004), FieldTrip (Oostenveld et al., 2011), MNE (Gramfort et al., 2013) or SPM (Litvak et al., 2011) already allow for the rejection of bad data segments based on simple metrics such as peak-to-peak ”
EEG Source Imaging: A Practical Review of the Analysis Steps (2019, background): “These processing steps are fairly standard and offered in many different software packages, most well-known in the SPM toolbox (48).”