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Region of interest based independent component analysis

Keck, I. R., Churan, J., Theis, Fabian J., Gruber, Peter, Lang, Elmar and Puntonet, Carlos G. (2006) Region of interest based independent component analysis. In: King, Irwin, (ed.) Neural Information Processing: ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part I. Lecture Notes in Computer Science, 4232. Springer, Berlin, pp. 1048-1057. ISBN 978-3-540-46479-2 (e-book), 978-3-540-46480-8 (print).

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The over-complete case remains a difficult problem in the field of independent component analysis (ICA). In this article we combine a technique called “region of interest” (ROI) with a standard complete ICA. We show how to create a mask using ICA, then using the masked data for a second ICA. At the same time this method eliminates a commonly necessary model-based step in fMRI data analysis. We also 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:17087
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