Sebastian Domsch1, Andreas Lemke1, Sebastian Weingrtner1, Lothar R. Schad1
1Computer Assisted Clinical Medicine, Heidelberg University, Mannheim, Germany
UNFOLD to increase sampling rates in fMRI to detect transient BOLD signal modulations requires temporal filtering before statistical mapping in the time domain is carried out. Low-pass filtering and zero-filling has been proposed. Both strategies are non-optimal since low-pass filtering degrades temporal resolution and zero-filling leads to serial correlations (non-white noise) known to bias linear modeling of neuronal responses. We propose a more sophisticated temporal filtering strategy intrinsically avoiding non-white noise to increase statistical inference.