Gruber, Peter and Kohler, Christian and Theis, Fabian J. (2007) A toolbox for model-free analysis of fmri data. In: Davies, Mike E. and James, Christopher J., (eds.) Independent Component Analysis and Signal Separation. 7th International Conference, ICA 2007, London, UK, September 9-12, 2007. Proceedings. Lecture notes in computer science, 4666. Springer, Berlin, pp. 209-217. ISBN 978-3-540-74493-1 (Printausgabe), 978-3-540-74494-8 (e-book).
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Other URL: http://www.springerlink.com/content/40424302n4l12108/fulltext.pdf
Abstract
We introduce Model-free Toolbox (MFBOX), a Matlab toolbox for analyzing multivariate data sets in an explorative fashion. Its main focus lies on the analysis of functional Nuclear Magnetic Resonance Imaging (fMRI) data sets with various model-free or data-driven techniques. In this context, it can also be used as plugin for SPM5, a popular tool in regression-based fMRI analysis. The toolbox includes BSS algorithms based on various source models including ICA, spatiotemporal ICA, autodecorrelation and NMF. They can all be easily combined with higher-level analysis methods such as reliability analysis using projective clustering of the components, sliding time window analysis or hierarchical decomposition. As an example, we use MFBOX for the analysis of an fMRI experiment and present short comparisons with the SPM results. The MFBOX is freely available for download at http://mfbox.sf.net .
| Item Type: | Book Section |
|---|---|
| Institutions: | Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang |
| Subjects: | 500 Science > 570 Life sciences |
| Status: | Published |
| Refereed: | Unknown |
| Created at the University of Regensburg: | Unknown |
| Owner: | Gertraud Kellers |
| Deposited On: | 28 Sep 2010 08:20 |
| Last Modified: | 28 Sep 2010 08:20 |
| Item ID: | 16855 |
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