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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2011
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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. |
format | Text |
id | pubmed-3061292 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
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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