Comparison of BOLD censoring motion metrics when you know the motion (SimPACE)

Censoring methods have gained a lot of attention recently, but, given the importance of head motion artifact in fMRI and fcMRI, more evaluation is necessary. Accurate identification of corrupted volumes, which we evaluate here, is a critical dependency. First we distinguish between intravolumetric (realistic) and volumetric (unrealistic) motion and point out that metrics reported to-date assume volumetric . We simulate intravolume and volumetric motion with a novel acquisition (SimPACE), and compare the true and false positive rates of several motion metrics. We report that volumetric metrics generally perform poorly, with negative implications for censoring and global signal regression.

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