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

Unified ICA-SPM analysis of fMRI experiments - Implementation of an ICA graphical user interface for the SPM pipeline
Troels Bjerre, Jonas Henriksen, Peter Mondrup Rasmussen, Carsten Haagen Nielsen, Lars Kai Hansen, Kristoffer R. Madsen
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.
Keywords	ICA, SPM
Type	Conference paper [With referee]
Conference	Proceedings of BIOSTEC - BIOSIGNALS 2009 Conference
Year	2009 Month January
Electronic version(s)	[pdf]
Publication link	http://www.biosignals.org/
BibTeX data	[bibtex]
IMM Group(s)	Intelligent Signal Processing