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Estimating the effect of a scanner upgrade on measures of grey matter structure for longitudinal designs

MPG-Autoren
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Medawar,  Evelyn
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Berlin School of Mind and Brain, Humboldt University Berlin, Germany;
Center for Stroke Research, Charité University Medicine Berlin, Germany;

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Thieleking,  Ronja
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

Manuilova,  Iryna
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Paerisch,  Maria
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;
Berlin School of Mind and Brain, Humboldt University Berlin, Germany;
Center for Stroke Research, Charité University Medicine Berlin, Germany;
Collaborative Research Center Obesity Mechanisms, Institute of Biochemistry, University of Leipzig, Germany;
Clinic for Cognitive Neurology, University of Leipzig, Germany;

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Witte,  A. Veronica
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Collaborative Research Center Obesity Mechanisms, Institute of Biochemistry, University of Leipzig, Germany;
Clinic for Cognitive Neurology, University of Leipzig, Germany;

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Beyer,  Frauke
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Collaborative Research Center Obesity Mechanisms, Institute of Biochemistry, University of Leipzig, Germany;

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Zitation

Medawar, E., Thieleking, R., Manuilova, I., Paerisch, M., Villringer, A., Witte, A. V., et al. (2021). Estimating the effect of a scanner upgrade on measures of grey matter structure for longitudinal designs. PLoS One, 16(10): e0239021. doi:10.1371/journal.pone.0239021.


Zitierlink: https://hdl.handle.net/21.11116/0000-0009-5DDA-A
Zusammenfassung
Longitudinal imaging studies are crucial for advancing the understanding of brain development over the lifespan. Thus, more and more studies acquire imaging data at multiple time points or with long follow-up intervals. In these studies changes to magnetic resonance imaging (MRI) scanners often become inevitable which may decrease the reliability of the MRI assessments and introduce biases. We therefore investigated the difference between MRI scanners with subsequent versions (3 Tesla Siemens Verio vs. Skyra) on the cortical and subcortical measures of grey matter in 116 healthy, young adults using the well-established longitudinal FreeSurfer stream for T1-weighted brain images. We found excellent between-scanner reliability for cortical and subcortical measures of grey matter structure (intra-class correlation coefficient > 0.8). Yet, paired t-tests revealed statistically significant differences in at least 67% of the regions, with percent differences around 2 to 4%, depending on the outcome measure. Offline correction for gradient distortions only slightly reduced these biases. Further, T1-imaging based quality measures reflecting gray-white matter contrast systematically differed between scanners. We conclude that scanner upgrades during a longitudinal study introduce bias in measures of cortical and subcortical grey matter structure. Therefore, before upgrading a MRI scanner during an ongoing study, researchers should prepare to implement an appropriate correction method for these effects.