Prospective active marker motion correction improves statistical power in BOLD fMRI.

ABSTRACT: Group level statistical maps of blood oxygenation level dependent (BOLD) signals acquired using functional magnetic resonance imaging (fMRI) have become a basic measurement for much of systems, cognitive and social neuroscience. A challenge in making inferences from these statistical maps is the noise and potential confounds that arise from the head motion that occurs within and between acquisition volumes. This motion results in the scan plane being misaligned during acquisition, ultimately leading to reduced statistical power when maps are constructed at the group level. In most cases, an attempt is made to correct for this motion through the use of retrospective analysis methods. In this paper, we use a prospective active marker motion correction (PRAMMO) system that uses radio frequenc

SUBMITTER: Muraskin J 

PROVIDER: S-EPMC3638742 | biostudies-literature | 2013 Mar

REPOSITORIES: biostudies-literature