Radu Mutihac1, 2, Allen Braun3, Thomas J. Balkin2
1Department of Physics, University of Bucharest, Bucharest, Bucharest-Magurele, Romania; 2Psychiatry & Neuroscience, Department of Behavioral Biology, Walter Reed Army Institute of Research, Silver Spring, MD, United States; 3Language Section, NIDCD / National Institutes of Health, Bethesda, MD, United States
Analysis of real-time fMRI time series is subject to temporal dispersion of the hemodynamic response and aliasing of physiological noise. Echo-volumar imaging (EVI), inverse imaging (InI), highly undersampled projection imaging (PI), and compressed sensing (CS) imaging reconstruction enable temporal resolution down to 100 ms. Extremely short acquisition (TR) poses the problem of serial correlations among voxels studied here in the context of autoregressive (AR) models.