Correction of respiratory artifacts in MRI head motion estimates

Damien A. Fair; Óscar Miranda-Domínguez; Abraham Z. Snyder; Anders J. Perrone; Eric Earl; Andrew N. Van; Jonathan M. Koller; Eric Feczko; Matthew Dylan Tisdall; Andre J. W. van der Kouwe; Rachel L. Klein; Amy E. Mirro; Jacqueline M. Hampton; Babatunde Adeyemo; Timothy O. Laumann; Caterina Gratton; Deanna J. Greene; Bradley L. Schlaggar; Donald J. Hagler; Richard Watts; Hugh Garavan; Deanna M. Barch; Joel T. Nigg; Steven E. Petersen; Anders Martin Dale; Sarah W. Feldstein Ewing; Bonnie J. Nagel; Nico U.F. Dosenbach

doi:10.1016/j.neuroimage.2019.116400

NeuroscienceNeuroImageNov 25, 2019

Peer-reviewed journal article

Correction of respiratory artifacts in MRI head motion estimates

Damien A. Fair iD, Óscar Miranda-Domínguez iD, Abraham Z. Snyder iD, Anders J. Perrone iD, Eric Earl iD, Andrew N. Van iD, Jonathan M. Koller iD, Eric Feczko iD, Matthew Dylan Tisdall iD, Andre J. W. van der Kouwe iD, Rachel L. Klein, Amy E. Mirro iD, Jacqueline M. Hampton iD, Babatunde Adeyemo, Timothy O. Laumann iD, Caterina Gratton iD, Deanna J. Greene iD, Bradley L. Schlaggar iD, Donald J. Hagler iD, Richard Watts iD, Hugh Garavan iD, Deanna M. Barch iD, Joel T. Nigg iD, Steven E. Petersen iD, Anders Martin Dale iD, , Nico U.F. Dosenbach iD

Abstract

Head motion represents one of the greatest technical obstacles for brain MRI. Accurate detection of artifacts induced by head motion requires precise estimation of movement. However, this estimation may be corrupted by factitious effects owing to main field fluctuations generated by body motion. In the current report, we examine head motion estimation in multiband resting state functional connectivity MRI (rs-fcMRI) data from the Adolescent Brain and Cognitive Development (ABCD) Study and a comparison single-shot dataset from Oregon Health & Science University. We show unequivocally that respirations contaminate movement estimates in functional MRI and that respiration generates apparent head motion not associated with degraded quality of functional MRI. We have developed a novel approach using a band-stop filter that accurately removes these respiratory effects. Subsequently, we demonstrate that utilizing this filter improves post-processing data quality. Lastly, we demonstrate the real-time implementation of motion estimate filtering in our FIRMM (Framewise Integrated Real-Time MRI Monitoring) software package.

PDF DOI