Comparison of fMRI statistical software packages and strategies for analysis of images containing random and stimulus-correlated motion.

The objectives of this study were to use computer-generated phantoms containing real subject motion to: 1) compare the sensitivity of four commonly used fMRI software packages, and 2) compare the sensitivity of three statistical analysis strategies with respect to motion correction. The results suggest that all four packages perform similarly in fMRI statistical analysis with SPM2 having slightly higher sensitivity. The most sensitive analysis technique was to perform motion correction and include the realignment parameters as regressors in the general linear model. This approach applies to all four packages examined and can be most beneficial when stimulus-correlated motion is present.