RT Journal Article
SR Electronic
T1 Restoring statistical validity in group analyses of motion-corrupted MRI data
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2021.06.15.448467
DO 10.1101/2021.06.15.448467
A1 Antoine Lutti
A1 Nadège Corbin
A1 John Ashburner
A1 Gabriel Ziegler
A1 Bogdan Draganski
A1 Christophe Phillips
A1 Ferath Kherif
A1 Martina F. Callaghan
A1 Giulia Di Domenicantonio
YR 2021
UL http://biorxiv.org/content/early/2021/06/16/2021.06.15.448467.abstract
AB Motion during the acquisition of magnetic resonance imaging (MRI) data degrades image quality, hindering our capacity to characterize disease in patient populations. Quality control procedures allow the exclusion of the most affected images from analysis. However, the criterion for exclusion is difficult to determine objectively and exclusion can lead to a suboptimal compromise between image quality and sample size. We provide an alternative, data-driven solution that assigns weights to each image, computed from an index of image quality using restricted maximum likelihood. We illustrate this method through the analysis of brain MRI data. The proposed method restores the validity of statistical tests, and performs near optimally in all brain regions, despite local effects of head motion. This method is amenable to the analysis of a broad type of MRI data and can accommodate any measure of image quality.Competing Interest StatementThe authors have declared no competing interest.