ArticlePloS one2021
Estimating the effect of a scanner upgrade on measures of grey matter structure for longitudinal designs.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 20 citations in OpenAlex.
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- Developmental trajectories of gyrification and sulcal morphometrics in children and adolescents at high familial risk for bipolar disorder or schizophrenia.Developmental cognitive neuroscience · 2025Article
- Reliability of structural brain change in cognitively healthy adult samples.bioRxiv : the preprint server for biology · 2025Article
- Reliability of structural brain change in cognitively healthy adult samples.Imaging neuroscience (Cambridge, Mass.) · 2025Article
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- Age Trajectories of the Structural Connectome in Child and Adolescent Offspring of Individuals With Bipolar Disorder or Schizophrenia.Biological psychiatry global open science · 2024Article
- Harmonized diffusion MRI data and white matter measures from the Adolescent Brain Cognitive Development Study.Scientific data · 2024Article
- Adolescent to young adult longitudinal development of subcortical volumes in two European sites with four waves.Human brain mapping · 2024Article
- Brain MRI detects early-stage alterations and disease progression in Friedreich ataxia.Brain communications · 2023Article
- Learning from pseudo-labels: deep networks improve consistency in longitudinal brain volume estimation.Frontiers in neuroscience · 2023Article
- Sample size requirement for achieving multisite harmonization using structural brain MRI features.NeuroImage · 2022Article
- A systematic analysis of diagnostic performance for Alzheimer's disease using structural MRI.Psychoradiology · 2022Article
- Same Brain, Different Look?-The Impact of Scanner, Sequence and Preprocessing on Diffusion Imaging Outcome Parameters.Journal of clinical medicine · 2021Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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