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Conference paper

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

In Biosignals 2009: Proceedings of the International Conference on Bio-inspired Systems and Signal Processing — 2009, pp. 316-321

By Bjerre, Troels1,2; Henriksen, Jonas3; Nielsen, Carsten Haagen; Rasmussen, Peter Mondrup2,4; Hansen, Lars Kai2,4; Madsen, Kristoffer Hougaard2

From

Image Analysis and Computer Graphics, Department of Informatics and Mathematical Modeling, Technical University of Denmark1

Department of Informatics and Mathematical Modeling, Technical University of Denmark2

Department of Electrical Engineering, Technical University of Denmark3

Cognitive Systems, Department of Informatics and Mathematical Modeling, Technical University of Denmark4

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.

Language: English
Publisher: Springer Publishing Company
Year: 2009
Pages: 316-321
Proceedings: International Conference on Bio-Inspired Systems and Signal Processing
Types: Conference paper
ORCIDs: Hansen, Lars Kai and Madsen, Kristoffer Hougaard

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