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EEG and MEG Data Analysis in SPM8

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 genera...

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Autores principales: Litvak, Vladimir, Mattout, Jérémie, Kiebel, Stefan, Phillips, Christophe, Henson, Richard, Kilner, James, Barnes, Gareth, Oostenveld, Robert, Daunizeau, Jean, Flandin, Guillaume, Penny, Will, Friston, Karl
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3061292/
https://www.ncbi.nlm.nih.gov/pubmed/21437221
http://dx.doi.org/10.1155/2011/852961
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author Litvak, Vladimir
Mattout, Jérémie
Kiebel, Stefan
Phillips, Christophe
Henson, Richard
Kilner, James
Barnes, Gareth
Oostenveld, Robert
Daunizeau, Jean
Flandin, Guillaume
Penny, Will
Friston, Karl
author_facet Litvak, Vladimir
Mattout, Jérémie
Kiebel, Stefan
Phillips, Christophe
Henson, Richard
Kilner, James
Barnes, Gareth
Oostenveld, Robert
Daunizeau, Jean
Flandin, Guillaume
Penny, Will
Friston, Karl
author_sort Litvak, Vladimir
collection PubMed
description 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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spelling pubmed-30612922011-03-24 EEG and MEG Data Analysis in SPM8 Litvak, Vladimir Mattout, Jérémie Kiebel, Stefan Phillips, Christophe Henson, Richard Kilner, James Barnes, Gareth Oostenveld, Robert Daunizeau, Jean Flandin, Guillaume Penny, Will Friston, Karl Comput Intell Neurosci Research Article 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. Hindawi Publishing Corporation 2011 2011-03-06 /pmc/articles/PMC3061292/ /pubmed/21437221 http://dx.doi.org/10.1155/2011/852961 Text en Copyright © 2011 Vladimir Litvak et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Litvak, Vladimir
Mattout, Jérémie
Kiebel, Stefan
Phillips, Christophe
Henson, Richard
Kilner, James
Barnes, Gareth
Oostenveld, Robert
Daunizeau, Jean
Flandin, Guillaume
Penny, Will
Friston, Karl
EEG and MEG Data Analysis in SPM8
title EEG and MEG Data Analysis in SPM8
title_full EEG and MEG Data Analysis in SPM8
title_fullStr EEG and MEG Data Analysis in SPM8
title_full_unstemmed EEG and MEG Data Analysis in SPM8
title_short EEG and MEG Data Analysis in SPM8
title_sort eeg and meg data analysis in spm8
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3061292/
https://www.ncbi.nlm.nih.gov/pubmed/21437221
http://dx.doi.org/10.1155/2011/852961
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