Unified ICA-SPM analysis of fMRI experiments: Implementation of an ICA graphical user interface for the SPM pipeline

Troels Bjerre, Jonas Henriksen, Carsten Haagen Nielsen, Peter Mondrup Rasmussen, Lars Kai Hansen, Kristoffer Hougaard Madsen

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    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 International Conference on Bio-Inspired Systems and Signal Processing
    PublisherSpringer Publishing Company
    Publication date2009
    Pages316-321
    Publication statusPublished - 2009
    EventInternational Conference on Bio-Inspired Systems and Signal Processing -
    Duration: 1 Jan 2009 → …
    Conference number: 2

    Conference

    ConferenceInternational Conference on Bio-Inspired Systems and Signal Processing
    Number2
    Period01/01/2009 → …

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