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  Test-retest reliability of multi-parametric maps (MPM) of brain microstructure

Aye, N., Lehmann, N., Kaufmann, J., Heinze, H.-J., Düzel, E., Taubert, M., et al. (2022). Test-retest reliability of multi-parametric maps (MPM) of brain microstructure. NeuroImage, 256: 119249. doi:10.1016/j.neuroimage.2022.119249.

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 Creators:
Aye, Norman1, Author
Lehmann, Nico1, 2, Author              
Kaufmann, Jörn3, Author
Heinze, Hans-Jochen3, 4, 5, 6, Author
Düzel, Emrah4, 5, 7, 8, Author
Taubert, Marco1, 5, Author
Ziegler, Gabriel4, 7, Author
Affiliations:
1Department of Sport Science, Faculty of Human Sciences, Otto von Guericke University Magdeburg, Germany, ou_persistent22              
2Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
3Department of Neurology, Otto von Guericke University Magdeburg, Germany, ou_persistent22              
4German Center for Neurodegenerative Diseases, Magdeburg, Germany, ou_persistent22              
5Center for Behavioral Brain Sciences, Magdeburg, Germany, ou_persistent22              
6Leibniz Institute for Neurobiology, Magdeburg, Germany, ou_persistent22              
7Institute of Cognitive Neurology and Dementia Research, Otto von Guericke University Magdeburg, Germany, ou_persistent22              
8Institute of Cognitive Neuroscience, University College London, United Kingdom, ou_persistent22              

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Free keywords: Multiparameter mapping (MPM); Quantitative MRI; HMRI; Scan-rescan reliability; Reproducibility
 Abstract: Multiparameter mapping (MPM) is a quantitative MRI protocol that is promising for studying microstructural brain changes in vivo with high specificity. Reliability values are an important prior knowledge for efficient study design and facilitating replicable findings in development, aging and neuroplasticity research. To explore longitudinal reliability of MPM we acquired the protocol in 31 healthy young subjects twice over a rescan interval of 4 weeks. We assessed the within-subject coefficient of variation (WCV), the between-subject coefficient of variation (BCV), and the intraclass correlation coefficient (ICC). Using these metrics, we investigated the reliability of (semi-) quantitative magnetization transfer saturation (MTsat), proton density (PD), transversal relaxation (R2*) and longitudinal relaxation (R1). To increase relevance for explorative studies in development and training-induced plasticity, we assess reliability both on local voxel- as well as ROI-level. Finally, we disentangle contributions and interplay of within- and between-subject variability to ICC and assess the optimal degree of spatial smoothing applied to the data. We reveal evidence that voxelwise ICC reliability of MPMs is moderate to good with median values in cortex (subcortical GM): MT: 0.789 (0.447) PD: 0.553 (0.264) R1: 0.555 (0.369) R2*: 0.624 (0.477). The Gaussian smoothing kernel of 2 to 4 mm FWHM resulted in optimal reproducibility. We discuss these findings in the context of longitudinal intervention studies and the application to research designs in neuroimaging field.

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Language(s): eng - English
 Dates: 2022-04-222021-09-082022-04-252022-04-272022-08-01
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1016/j.neuroimage.2022.119249
Other: online ahead of print
PMID: 35487455
 Degree: -

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Title: NeuroImage
Source Genre: Journal
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Publ. Info: Orlando, FL : Academic Press
Pages: - Volume / Issue: 256 Sequence Number: 119249 Start / End Page: - Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166