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Region of interest based independent component analysis

Keck, I. R. and Churan, J. and Theis, Fabian J. and Gruber, Peter and 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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Abstract

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.

Item Type:Book Section
Institutions: Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Identification Number:
ValueType
10.1007/11893028_117DOI
Subjects:500 Science > 570 Life sciences
Status:Published
Refereed:Unknown
Created at the University of Regensburg:Unknown
Owner:Gertraud Kellers
Deposited On:13 Oct 2010 07:55
Last Modified:13 Oct 2010 07:55
Item ID:17087
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