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Model-free Region Of Interest Based Analysis of fMRI Data

Keck, I. R., Theis, Fabian J., Gruber, Peter, Lang, Elmar, Churan, J. and Puntonet, Carlos G. (2006) Model-free Region Of Interest Based Analysis of fMRI Data. In: IEEE Mediterranean Electrotechnical Conference, 2006, MELECON 2006: 16 - 19 May 2006, Torremolinos, Malaga, Spain. IEEE Operations Center, Piscataway, NJ, pp. 478-481. ISBN 1-424-40087-2.

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Blind source separation is being established as a new kind of analysis method in the field of fMRI data analysis. Its model-free approach renders it an important tool for investigation. In this article we present a method based on BSS/ICA to create a region of interest (ROI) mask for a BSS based fMRI data analysis. This eliminates a commonly necessary model-based step in fMRI data analysis. We demonstrate our approach on a real world fMRI data set example.

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Item type:Book section
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
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Dewey Decimal Classification:500 Science > 570 Life sciences
Created at the University of Regensburg:Unknown
Item ID:17086
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