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Real-time motion monitoring improves functional MRI data quality in infants

Authors :
Carolina Badke D'Andrea
Jeanette K. Kenley
Eric Earl
David F. Montez
Christopher D. Smyser
Ryland L. Miller
Essa Yacoub
Jonathan M. Koller
Nico U.F. Dosenbach
Amy E. Mirro
Cynthia E. Rogers
Deanna J. Greene
Sooyeon Sung
Damien A. Fair
Jed T. Elison
Publication Year :
2021
Publisher :
Cold Spring Harbor Laboratory, 2021.

Abstract

Imaging the infant brain with MRI has improved our understanding of early stages of neurodevelopment. However, head motion during MRI acquisition is detrimental to both functional and structural MRI scan quality. Though infants are commonly scanned while asleep, they commonly exhibit motion during scanning, causing data loss. Our group has shown that providing MRI technicians with real-time motion estimates via Framewise Integrated Real-Time MRI Monitoring (FIRMM) software helps obtain high-quality, low motion fMRI data. By estimating head motion in real time and displaying motion metrics to the MR technician during an fMRI scan, FIRMM can improve scanning efficiency. Hence, we compared average framewise displacement (FD), a proxy for head motion, and the amount of usable fMRI data (FD ≤ 0.2mm) in infants scanned with (n = 407) and without FIRMM (n = 295). Using a mixed-effects model, we found that the addition of FIRMM to current state-of-the-art infant scanning protocols significantly increased the amount of usable fMRI data acquired per infant, demonstrating its value for research and clinical infant neuroimaging.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........9b88b8f4641431475d29c13ab8b669f2