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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