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

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 proceeding › Article in proceedings › Research › peer-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 language	English
Title of host publication	Biosignals 2009: Proceedings Of The International Conference on Bio-Inspired Systems and Signal Processing
Publisher	Springer Publishing Company
Publication date	2009
Pages	316-321
Publication status	Published - 2009
Event	2^nd International Conference on Bio-Inspired Systems and Signal Processing - Oporto, Portugal Duration: 14 Jan 2009 → 17 Jan 2009 Conference number: 2

Conference

Conference	2^nd International Conference on Bio-Inspired Systems and Signal Processing
Number	2
Country/Territory	Portugal
City	Oporto
Period	14/01/2009 → 17/01/2009

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Bjerre, T., Henriksen, J., Nielsen, C. H., Rasmussen, P. M., Hansen, L. K., & Madsen, K. H. (2009). 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 (pp. 316-321). Springer Publishing Company. http://www.biosignals.org

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

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.",

author = "Troels Bjerre and Jonas Henriksen and Nielsen, {Carsten Haagen} and Rasmussen, {Peter Mondrup} and Hansen, {Lars Kai} and Madsen, {Kristoffer Hougaard}",

year = "2009",

language = "English",

pages = "316--321",

booktitle = "Biosignals 2009: Proceedings Of The International Conference on Bio-Inspired Systems and Signal Processing",

publisher = "Springer Publishing Company",

address = "United States",

note = "2<sup>nd</sup> International Conference on Bio-Inspired Systems and Signal Processing, Biosignals 2009 ; Conference date: 14-01-2009 Through 17-01-2009",

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Bjerre, T, Henriksen, J, Nielsen, CH, Rasmussen, PM, Hansen, LK & Madsen, KH 2009, 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. Springer Publishing Company, pp. 316-321, 2^nd International Conference on Bio-Inspired Systems and Signal Processing, Oporto, Portugal, 14/01/2009. <http://www.biosignals.org>

Unified ICA-SPM analysis of fMRI experiments: Implementation of an ICA graphical user interface for the SPM pipeline. / Bjerre, Troels; Henriksen, Jonas; Nielsen, Carsten Haagen et al.
Biosignals 2009: Proceedings Of The International Conference on Bio-Inspired Systems and Signal Processing. Springer Publishing Company, 2009. p. 316-321.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Unified ICA-SPM analysis of fMRI experiments

T2 - 2<sup>nd</sup> International Conference on Bio-Inspired Systems and Signal Processing

AU - Bjerre, Troels

AU - Henriksen, Jonas

AU - Nielsen, Carsten Haagen

AU - Rasmussen, Peter Mondrup

AU - Hansen, Lars Kai

AU - Madsen, Kristoffer Hougaard

N1 - Conference code: 2

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

M3 - Article in proceedings

SP - 316

EP - 321

BT - Biosignals 2009: Proceedings Of The International Conference on Bio-Inspired Systems and Signal Processing

PB - Springer Publishing Company

Y2 - 14 January 2009 through 17 January 2009

ER -

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

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