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.
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Keck, I.R., Churan, J., Theis, F.J., Gruber, P., Lang, E.W., Puntonet, C.G. (2006). Region of Interest Based Independent Component Analysis. In: King, I., Wang, J., Chan, LW., Wang, D. (eds) Neural Information Processing. ICONIP 2006. Lecture Notes in Computer Science, vol 4232. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893028_117
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DOI: https://doi.org/10.1007/11893028_117
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46479-2
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