title: Spatiotemporal ICA applied to retinotopic fMRI data.
abstract: We use two spatiotemporal Independent Component Analysis algorithms, stJADE and stSOBI, to analyse data from a retinotopic functional magnetic resonance imaging experiment and compare their performance to the analysis of the same data with the spatial ICA done with JADE. This kind of experimental setting has the advantage that the activation in the brain can be estimated fairly easily and therefore can be used as well defined benchmark. We show that stSOBI can outperform sJADE and exhibits quite stable behaviour while stJADE critically depends on the quality of the chosen parameter settings for each subject.
authors.affiliation: CIML Group, Institute of Biophysics, University of Regensburg, 93040, Germany. ingokeck@ingokeck.de
authors.forename: Ingo R
authors.initials: IR
authors.lastname: Keck
authors.forename: Volker
authors.initials: V
authors.lastname: Fischer
authors.forename: Ana M
authors.initials: AM
authors.lastname: Tomé
authors.forename: Elmar W
authors.initials: EW
authors.lastname: Lang
mesh_terms: D000328:Adult; D000465:Algorithms; D001921:Brain / Q000473:pathology; D001931:Brain Mapping / Q000379:methods; D003627:Data Interpretation, Statistical; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D015233:Models, Statistical; D016011:Normal Distribution; D012164:Retinal Diseases / Q000175:diagnosis / Q000473:pathology*; D012815:Signal Processing, Computer-Assisted; D013223:Statistics as Topic; D013997:Time Factors