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Model-free Region Of Interest Based Analysis of fMRI Data

Keck, I. R. and Theis, Fabian J. and Gruber, Peter and Lang, Elmar and 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
Deposited on:13 Oct 2010 05:52
Last modified:13 Oct 2010 05:52
Item ID:17086
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