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Hybridizing EMD with cICA for fMRI Analysis of Patient Groups

Wein, S. ; Tomé, A. M. ; Goldhacker, Markus ; Greenlee, Mark W. ; Lang, Elmar W. Barbieri, R. , eds.



Abstract

ndependent component analysis (ICA), as a data driven method, has shown to be a powerful tool for functional magnetic resonance imaging (fMRI) data analysis. One drawback of this multivariate approach is, that it is naturally not convenient for analysis of group studies. Therefore various techniques have been proposed in order to overcome this limitation of ICA. In this paper a novel ICA based ...

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