title: Subspace approaches for FMRI time series estimation.
abstract: In this paper, we present a subspace approach for functional magnetic resonance imaging (fMRI) time series analysis. The signal subspace is formed of the eigenvectors of data correlation matrix. The approach is utilized both for single-trial estimation of blood oxygenation level dependent (BOLD) responses in fMRI time series and for studying the functional connectivity of BOLD responses from different spatial areas.
authors.affiliation: Department of Physics, University of Kuopio, Kuopio, Finland.
authors.forename: Eini I
authors.initials: EI
authors.lastname: Niskanen
authors.forename: Mika P
authors.initials: MP
authors.lastname: Tarvainen
authors.forename: Mervi
authors.initials: M
authors.lastname: Kononen
authors.forename: Hilkka
authors.initials: H
authors.lastname: Soininen
authors.forename: Pasi A
authors.initials: PA
authors.lastname: Karjalainen
mesh_terms: D000465:Algorithms; D001921:Brain / Q000098:blood supply / Q000502:physiology*; D001931:Brain Mapping / Q000379:methods*; D002560:Cerebrovascular Circulation / Q000502:physiology; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008954:Models, Biological; D015233:Models, Statistical; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity