Detection versus physiological noise suppression in Event-Related fMRI: Optimisation of an adaptive Cardio-Respiratory Filter
van Gelderen P, Moonen C, de Zwart J, Barret O, Ries M
National Institutes of Health
Recently, it has been shown that, adaptive model-free time-domain filtering can significantly reduce physiological noise in fMRI data-sets. However, any passive filtering step before the fMRI analysis reduces also the fMRI signal. Therefore the balance between noise suppression and the loss of fMRI sensitivity has to be carefully considered. This study evaluates the filter-performance and the impact on the fMRI detectability of a model-free time-domain filter for a typical event-related fMRI experiment with help of numerical simulations and experimental data.