EEG and MEG data analysis in SPM8

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Vladimir Litvak - , University College London (Autor:in)
  • Jérémie Mattout - , Lyon Neuroscience Research Center (CRNL) (Autor:in)
  • Stefan Kiebel - , Max-Planck-Institut für Kognitions- und Neurowissenschaften (Autor:in)
  • Christophe Phillips - , University of Liege (Autor:in)
  • Richard Henson - , Medical Research Council (MRC) (Autor:in)
  • James Kilner - , University College London (Autor:in)
  • Gareth Barnes - , University College London (Autor:in)
  • Robert Oostenveld - , Radboud University Nijmegen (Autor:in)
  • Jean Daunizeau - , University College London (Autor:in)
  • Guillaume Flandin - , University College London (Autor:in)
  • Will Penny - , University College London (Autor:in)
  • Karl Friston - , University College London (Autor:in)

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.

Details

OriginalspracheEnglisch
Aufsatznummer852961
FachzeitschriftComputational Intelligence and Neuroscience
Jahrgang2011
PublikationsstatusVeröffentlicht - 2011
Peer-Review-StatusJa
Extern publiziertJa

Externe IDs

PubMed 21437221