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Investigating the genetic and environmental basis of head micromovements during MRI

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Beyer,  Frauke       
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Morys,  Filip       
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Villringer,  Arno       
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Witte,  A. Veronica       
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Citation

Beyer, F., Horn, K., Frenzel, S., Hofer, E., Knol, M. J., Morys, F., et al. (2021). Investigating the genetic and environmental basis of head micromovements during MRI. bioRxiv. doi:10.1101/2021.10.25.465703.


Cite as: https://hdl.handle.net/21.11116/0000-000B-F358-0
Abstract
Introduction Head motion during magnetic resonance imaging is heritable. Further, it shares phenotypical and genetic variance with body mass index (BMI) and impulsivity. Yet, to what extent this trait is related to single genetic variants and physiological or behavioral features is unknown. We investigated the genetic basis of head motion in a meta-analysis of genome-wide association studies. Further, we tested whether physiological or psychological measures, such as respiratory rate or impulsivity, mediated the relationship between BMI and head motion.

Methods We conducted a genome-wide association meta-analysis for mean and maximal framewise head displacement (FD) in seven population neuroimaging cohorts (UK Biobank, LIFE-Adult, Rotterdam Study cohort 1-3, Austrian Stroke Prevention Family Study, Study of Health in Pomerania; total N = 35.109). We performed a pre-registered analysis to test whether respiratory rate, respiratory volume, self-reported impulsivity and heart rate mediated the relationship between BMI and mean FD in LIFE-Adult.

Results No variant reached genome-wide significance for neither mean nor maximal FD. Neither physiological nor psychological measures mediated the relationship between BMI and head motion.

Conclusion Based on these findings from a large meta-GWAS and pre-registered follow-up study, we conclude that the previously reported genetic correlation between BMI and head motion relies on polygenic variation, and that neither psychological nor simple physiological parameters explain a substantial amount of variance in the association of BMI and head motion. Future imaging studies should thus rigorously control for head motion at acquisition and during preprocessing.