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Unified ICA-SPM analysis of FMRI Experiments :Implementation of an ICA graphical user interface for the SPM pipeline

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

  • T. Bjerre, Technical University of Denmark
  • ,
  • J. Henriksen, Technical University of Denmark
  • ,
  • C.H. Nielsen, Technical University of Denmark
  • ,
  • Peter Mondrup Rasmussen
  • L.K. Hansen, Technical University of Denmark
  • ,
  • K.H. Madsen, Copenhagen University Hospital Hvidovre
We present a toolbox for exploratory analysis of functional magnetic resonance imaging (fMRI) data using independent component analysis (ICA) within the widely used SPM analysis pipeline. The toolbox enables dimensional reduction using principal component analysis, ICA using several different ICA algorithms, selection of the number of components using the Bayesian information criterion (BIC), visualization of ICA components, and extraction of components for subsequent analysis using the standard general linear model. We demonstrate how the toolbox is capable of identifying activity and nuisance effects in fMRI data from a visual experiment.
Original languageEnglish
Title of host publicationBIOSIGNALS 2009 - Proceedings of the 2nd International Conference on Bio-Inspired Systems and Signal Processing
Number of pages6
Publication year1 Jan 2009
Pages316-321
Publication statusPublished - 1 Jan 2009
Externally publishedYes

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