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Functional MRI analysis by a novel spatiotemporal ICA algorithm

Theis, Fabian J. ; Gruber, Peter ; Keck, I. R. ; Lang, Elmar


Data sets acquired from functional magnetic resonance imaging (fMRI) contain both spatial and temporal structures. In order to blindly extract underlying activities, the common approach however only uses either spatial or temporal independence. More convincing results can be achieved by requiring the transformed data to be as independent as possible in both domains. First introduced by Stone, ...


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