Restoring statistical validity in group analyses of motion-corrupted MRI data. - Centre de Résonance Magnétique des Systèmes Biologiques Accéder directement au contenu
Article Dans Une Revue Human Brain Mapping Année : 2022

Restoring statistical validity in group analyses of motion-corrupted MRI data.

Résumé

Motion during the acquisition of magnetic resonance imaging (MRI) data degrades image quality, hindering our capacity to characterise 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 quantitative 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.
Fichier principal
Vignette du fichier
CRMSB_HBM_Lutti2021.pdf (3.41 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-03648424 , version 1 (21-04-2022)

Licence

Paternité

Identifiants

Citer

Antoine Lutti, Nadège Corbin, John Ashburner, Gabriel Ziegler, Bogdan Draganski, et al.. Restoring statistical validity in group analyses of motion-corrupted MRI data.. Human Brain Mapping, 2022, 2022-02-03, 43 (6), pp.1973-1983. ⟨10.1002/hbm.25767⟩. ⟨hal-03648424⟩

Collections

CNRS CRMSB
14 Consultations
17 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More