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

Lutti, A; Corbin, N; Ashburner, J; Ziegler, G; Draganski, B; Phillips, C; Kherif, F; ... Di Domenicantonio, G; + view all (2022) Restoring statistical validity in group analyses of motion-corrupted MRI data. Human Brain Mapping 10.1002/hbm.25767. Green open access

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Abstract

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.

Type: Article
Title: Restoring statistical validity in group analyses of motion-corrupted MRI data
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1002/hbm.25767
Publisher version: https://doi.org/10.1002/hbm.25767
Language: English
Additional information: © 2022 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Keywords: heteroscedasticity, motion artefact, quality control, quantitative MRI, statistical image analysis
UCL classification: UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
URI: https://discovery.ucl.ac.uk/id/eprint/10143829
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