| Title: | Comparison of MRI head motion indicators in 40,969 subjects informs neuroimaging study design |
| Journal: | Scientific Reports |
| Published: | 27 Nov 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/39604510/ |
| DOI: | https://doi.org/10.1038/s41598-024-79827-9 |
Publication 14246
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Abstract
Head motion during MRI compromises image quality for clinical assessments and research. Active motion reduction strategies are effective but rarely applied due to uncertainty in their value for a given study. The ability to anticipate motion based on group characteristics would aid effective neuroimaging study design. This study compared putative motion indicators for their association to fMRI head motion in a large UK Biobank cohort (n = 40,969, aged 54.9 ± 7.5 years, 53% male). Body Mass Index (BMI; βadj = .050, p < .001) and ethnicity (βadj = 0.068, p < 0.001) were the strongest indicators of head motion. A ten-point increase in BMI, which is the difference between "healthy" and "obese", corresponded to a 51% increase in motion. Findings were similar in a subgroup with no lifetime diagnoses (n = 6858). Motion was not significantly increased in individuals with psychiatric disorders, musculoskeletal disorders, or diabetes. The hypertension subgroup exhibited significantly increased motion (p = 0.048). Cognitive task performance (t = 110.83, p < 0.001) and prior scan experience (t = 7.16, p < 0.001) were associated with increased head motion. Our results inform decision making for implementation of motion reduction strategies in MRI. BMI outweighs other motion indicators, while blood pressure, age, smoking and caffeine consumption are relatively less influential. Disease diagnosis alone is not a good indicator of MRI head motion.</p>
14 Keywords
- Adult
- Aged
- Body Mass Index
- Brain
- Female
- Head
- Head Movements
- Humans
- Magnetic Resonance Imaging
- Male
- Middle Aged
- Motion
- Neuroimaging
- Research Design
4 Authors
- Thomas Wei Jun Teo
- Seyed Ehsan Saffari
- Ling Ling Chan
- Thomas Welton
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