A Constrained ICA-EMD Model for Group Level fMRI Analysis

URN to cite this document:: urn:nbn:de:bvb:355-epub-431976
DOI to cite this document:: 10.5283/epub.43197

Wein, Simon ; Tomé, Ana M. ; Goldhacker, Markus

; Greenlee, Mark W.

; Lang, Elmar W.

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Date of publication of this fulltext: 14 May 2020 11:29

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Abstract

Independent component analysis (ICA), being a data-driven method, has been shown to be a powerful tool for functional magnetic resonance imaging (fMRI) data analysis. One drawback of this multivariate approach is that it is not, in general, compatible with the analysis of group data. Various techniques have been proposed to overcome this limitation of ICA. In this paper, a novel ICA-based ...