This paper describes several experiments that prove that standard motion correction
methods may induce spurious activations in some motion-free fMRI studies. This artifact …

Subject motion in functional magnetic resonance imaging (fMRI) studies can be accurately
estimated using realignment algorithms. However, residual changes in signal intensity …

Due to the intrinsic low sensitivity of BOLD-fMRI long scanning is required. Subject motion
during fMRI scans reduces statistical significance of the activation maps and increases the …

It has been shown that the difference of squares cost function used by standard realignment
packages (SPM and AIR) can lead to the detection of spurious activations, because the …

Motion is a significant problem for the analysis of functional MRI data. This manuscript
addresses the question of whether an individualized assessment of motion may be …

Motion correction of fMRI data is a widely used step prior to data analysis. In this study, a
comparison of the motion correction tools provided by several leading fMRI analysis …

Even after realignment there is residual movement-related variance present in fMRI time-
series, causing loss of sensitivity and, potentially, also specificity. One cause is the …

Existing groupwise image registration algorithms for longitudinal data generally ignore
continuous movements and signal changes that occur throughout image acquisition. We …

A three-dimensional image registration method for motion correction of functional magnetic
resonance imaging (fMRI) time-series, based on independent component analysis (ICA), is …

Functional magnetic resonance imaging (fMRI) of the brain is often degraded by bulk head
motion. Algorithms that address this by retrospective re‐registration of images in an fMRI …