Unraveling Spatio-temporal Dynamics in fMRI Recordings Using Complex ICA

Abstract. Independent component analysis (ICA) of functional magnetic resonance imaging (fMRI) data is commonly carried out under the assumption that each source may be represented as a spatially fixed pattern of activation, which leads to the instantaneous mixing model. To allow modeling patterns of spatiotemporal dynamics, in particular, the flow of oxygenated blood, we have developed a convolutive ICA approach: spatial complex ICA applied to frequencydomain fMRI data. In several frequency-bands, we identify components pertaining to activity in primary visual cortex (V1) and blood supply vessels. One such component, obtained in the 0.10-Hz band, is analyzed in detail and found to likely

• Type: Conference
• Year: 2004
• Where: ICA
• Authors: Jörn Anemüller, Jeng-Ren Duann, Terrence J. Sejnowski, Scott Makeig
• Keywords: Convolutive Ica Approach, Functional Magnetic Resonance Imaging, ICA 2004, Spatial Complex Ica