Head motion in the UK Biobank imaging subsample: longitudinal stability, associations with psychological and physical health, and risk of incomplete data

Affiliations
  • 1School of Health and Wellbeing, University of Glasgow, G12 8TB, Glasgow, UK.
  • 2School of Philosophy, Psychology and Language Sciences, University of Edinburgh, EH8 9JZ, Edinburgh, UK.
  • 3School of Cardiovascular and Metabolic Sciences, University of Glasgow, G12 8TA, Glasgow, UK.
  • 4Cardiovascular Medicine Unit, Department of Medicine Solna, Karolinska Institute, 171 64, Stockholm, Sweden.
  • 5Health Data Research (HDR)-UK, NW1 2BE, London, UK.
  • 6School of Psychology and Neuroscience, University of Glasgow, G12 8QB, Glasgow, UK.
  • 7Department of Neuropathology, Queen Elizabeth University Hospital, G51 4TF, Glasgow, UK.
  • 8Centre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB, Edinburgh, UK.

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Abstract

Participant motion in brain magnetic resonance imaging is associated with processing problems including potentially non-useable/incomplete data. This has implications for representativeness in research. Few large studies have investigated predictors of increased motion in the first instance. We exploratively tested for association between multiple psychological and physical health traits with concurrent motion during T structural, diffusion, average resting-state and task functional magnetic resonance imaging in = 52 951 UK Biobank imaging subsample participants. These traits included history of cardiometabolic, inflammatory, neurological and psychiatric conditions, as well as concurrent cognitive test scores and anthropometric traits. We tested for stability in motion in participants with longitudinal imaging data ( = 5305, average 2.64 years later). All functional and T structural motion variables were significantly intercorrelated (Pearson range 0.3-0.8, all < 0.001). Diffusion motion variables showed weaker correlations around = 0.1. Most physical and psychological phenotypes showed significant association with at least one measure of increased motion including specifically in participants with complete useable data (highest β = 0.66 for diabetes versus resting-state functional magnetic resonance imaging motion). Poorer values in most health traits predicted lower odds of complete imaging data, with the largest association for history of traumatic brain injury (odds ratio = 0.720, 95% confidence interval = 0.562 to 0.923, = 0.009). Worse psychological and physical health are consistent predictors of increased average functional and structural motion during brain imaging and associated with lower odds of complete data. Average motion levels were largely consistent across modalities and longitudinally in participants with repeat data. Together, these findings have implications for representativeness and bias in imaging studies of generally healthy population samples.