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  EEG and MEG data analysis in SPM8

Litvak, V., Mattout, J., Kiebel, S., Phillips, C., Henson, R., Kilner, J., et al. (2011). EEG and MEG data analysis in SPM8. Computational Intelligence and Neuroscience, 2011: 852961. doi:10.1155/2011/852961.

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 Creators:
Litvak, Vladimir1, Author
Mattout, Jérémie2, Author
Kiebel, Stefan3, Author           
Phillips, Christophe4, Author
Henson, Richard5, Author
Kilner, James1, Author
Barnes, Gareth1, Author
Oostenveld, Robert6, Author
Daunizeau, Jean1, Author
Flandin, Guillaume1, Author
Penny, Will1, Author
Friston, Karl1, Author
Affiliations:
1The Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, Queen Square, London WC1N 3BG, UK, ou_persistent22              
2INSERM U1028, CNRS UMR5292, Lyon Neuroscience Research Centre, Brain Dynamics and Cognition Team, Lyon, F-69500, France, ou_persistent22              
3Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
4Cyclotron Research Centre, University of Liège, 4000 Liège, Belgium, ou_persistent22              
5MRC Cognition and Brain Sciences Unit, Cambridge CB2 7EF, UK, ou_persistent22              
6Donders Institute for Brain, Cognition, and Behaviour, Radboud University Nijmegen, 6500 HB Nijmegen, The Netherlands, ou_persistent22              

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 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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 Dates: 2011-03-06
 Publication Status: Published online
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 Rev. Type: -
 Identifiers: PMC: 3061292
PMID: 21437221
DOI: 10.1155/2011/852961
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Title: Computational Intelligence and Neuroscience
  Abbreviation : Comput Intell Neurosci
Source Genre: Journal
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Publ. Info: Hindawi : New York, NY
Pages: - Volume / Issue: 2011 Sequence Number: 852961 Start / End Page: - Identifier: ISSN: 1687-5265
CoNE: https://pure.mpg.de/cone/journals/resource/1687-5265