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Tree-dependent and topographic independent component analysis for fMRI analysis

Meyer-Bläse, Anke ; Theis, Fabian J. ; Lange, Oliver ; Puntonet, Carlos G.



Abstract

Recently, a new paradigm in ICA emerged, that of finding ldquoclustersrdquo of dependent components. This striking philosophy found its implementation in two new ICA algorithms: tree–dependent and topographic ICA. Applied to fMRI, this leads to the unifying paradigm of combining two powerful exploratory data analysis methods, ICA and unsupervised clustering techniques. For the fMRI data, a ...

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