Head motion in the UK Biobank imaging subsample: longitudinal stability, associations with psychological and physical health, and risk of incomplete data.
Joey WardSimon R CoxTerence Joseph QuinnLaura M LyallRona J StrawbridgeEmma Rosalyn RussellJill P PellWilliam StewartBreda CullenHeather C WhalleyDonald M LyallPublished in: Brain communications (2024)
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 1 structural, diffusion, average resting-state and task functional magnetic resonance imaging in N = 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 ( n = 5305, average 2.64 years later). All functional and T 1 structural motion variables were significantly intercorrelated (Pearson r range 0.3-0.8, all P < 0.001). Diffusion motion variables showed weaker correlations around r = 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, P = 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.
Keyphrases
- resting state
- mental health
- functional connectivity
- high resolution
- magnetic resonance imaging
- electronic health record
- high speed
- public health
- traumatic brain injury
- healthcare
- big data
- physical activity
- type diabetes
- computed tomography
- genome wide
- cross sectional
- squamous cell carcinoma
- health information
- machine learning
- dna methylation
- magnetic resonance
- multiple sclerosis
- cardiovascular disease
- health promotion
- radiation therapy
- data analysis
- fluorescence imaging
- adipose tissue
- blood brain barrier
- brain injury
- locally advanced
- sleep quality
- subarachnoid hemorrhage
- mass spectrometry
- photodynamic therapy
- cerebral ischemia
- optic nerve