Comparison of MRI head motion indicators in 40,969 subjects informs neuroimaging study design

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; β<sub>adj</sub> = .050, p < .001) and ethnicity (β<sub>adj</sub> = 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.

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Publication Details

Journal
Scientific Reports
Published
2024-11-27
DOI
https://doi.org/10.1038/s41598-024-79827-9
Citations
3
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
1.21

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article

Comparison of MRI head motion indicators in 40,969 subjects informs neuroimaging study design

Ling Ling Chan, Thomas Welton, Seyed Ehsan Saffari, Thomas Wei Jun Teo
3 citations
Scientific Reports
Advanced Neuroimaging Techniques and Applications
1.21
article

Comparison of MRI head motion indicators in 40,969 subjects informs neuroimaging study design

Ling Ling Chan, Thomas Welton, Seyed Ehsan Saffari, Thomas Wei Jun Teo
article en
3 citations

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; β<sub>adj</sub> = .050, p < .001) and ethnicity (β<sub>adj</sub> = 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.

Scientific ReportsVol. 14(1)
Singapore General Hospital (SG), Duke-NUS Medical School (SG), National Neuroscience Institute (SG)
Duke-NUS Medical School, Medical Research Council, National Medical Research Council
Good health and well-being
Openalex Percentile: Top 19%
Advanced Neuroimaging Techniques and Applications
1.21
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