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

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 beco...

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Autores principales: Evelyn Medawar, Ronja Thieleking, Iryna Manuilova, Maria Paerisch, Arno Villringer, A Veronica Witte, Frauke Beyer
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Publicado: Public Library of Science (PLoS) 2021
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Acceso en línea:https://doaj.org/article/38217c09dc044c56b2b01f28de0e3091
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spelling oai:doaj.org-article:38217c09dc044c56b2b01f28de0e30912021-12-02T20:13:50ZEstimating the effect of a scanner upgrade on measures of grey matter structure for longitudinal designs.1932-620310.1371/journal.pone.0239021https://doaj.org/article/38217c09dc044c56b2b01f28de0e30912021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0239021https://doaj.org/toc/1932-6203Longitudinal 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.Evelyn MedawarRonja ThielekingIryna ManuilovaMaria PaerischArno VillringerA Veronica WitteFrauke BeyerPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 10, p e0239021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Evelyn Medawar
Ronja Thieleking
Iryna Manuilova
Maria Paerisch
Arno Villringer
A Veronica Witte
Frauke Beyer
Estimating the effect of a scanner upgrade on measures of grey matter structure for longitudinal designs.
description 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.
format article
author Evelyn Medawar
Ronja Thieleking
Iryna Manuilova
Maria Paerisch
Arno Villringer
A Veronica Witte
Frauke Beyer
author_facet Evelyn Medawar
Ronja Thieleking
Iryna Manuilova
Maria Paerisch
Arno Villringer
A Veronica Witte
Frauke Beyer
author_sort Evelyn Medawar
title Estimating the effect of a scanner upgrade on measures of grey matter structure for longitudinal designs.
title_short Estimating the effect of a scanner upgrade on measures of grey matter structure for longitudinal designs.
title_full Estimating the effect of a scanner upgrade on measures of grey matter structure for longitudinal designs.
title_fullStr Estimating the effect of a scanner upgrade on measures of grey matter structure for longitudinal designs.
title_full_unstemmed Estimating the effect of a scanner upgrade on measures of grey matter structure for longitudinal designs.
title_sort estimating the effect of a scanner upgrade on measures of grey matter structure for longitudinal designs.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/38217c09dc044c56b2b01f28de0e3091
work_keys_str_mv AT evelynmedawar estimatingtheeffectofascannerupgradeonmeasuresofgreymatterstructureforlongitudinaldesigns
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AT mariapaerisch estimatingtheeffectofascannerupgradeonmeasuresofgreymatterstructureforlongitudinaldesigns
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