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Human Brain MappingNeurosciencePeer-reviewed journal article

High-frequency longitudinal white matter diffusion- & myelin-based MRI database: reliability and variability

Manon EddeiD, Guillaume TheaudiD, Matthieu Dumont, Antoine ThébergeiD, Alex Valcourt CaroniD, Guillaume GilbertiD, Jean‐Christophe HoudeiD, Loïka MaltaisiD, François RheaultiD, Federico SpagnoloiD, Muhamed BarakovićiD, Stefano MagoniD, Maxime DescoteauxiD

PDFDOIPreprint

Abstract

Assessing the consistency of quantitative MRI measurements is critical for inclusion in longitudinal studies and clinical trials. Intraclass coefficient correlation and coefficient of variation were used to evaluate the different consistency aspects of diffusion- and myelinbased MRI measures. Multi-shell diffusion and inhomogeneous magnetization transfer datasets were collected from twenty healthy adults at a high-frequency of five MRI sessions. The consistency was evaluated across whole bundles and the track-profile along the bundles. The impact of the fiber populations on the consistency was also evaluated using the number of fiber orientations map. For whole and profile bundles, moderate to high reliability of diffusion and myelin measures were observed. We report higher reliability of measures for multiple fiber populations than single. The overall portrait of the most consistent measurements and bundles drawn from a wide range of MRI techniques presented here will be particularly useful for identifying reliable biomarkers capable of detecting, monitoring and predicting white matter changes in clinical applications and has the potential to inform patient-specific treatment strategies. Key pointsO_LIReliability and variability are excellent to good for DWI measurements, and good to moderate for MT measures for whole bundles and along the bundles. C_LIO_LIThe number of fiber populations affects the reliability and variability of the MRI measurements. C_LIO_LIThe reliability and variability of MRI measurements are also bundle dependent. C_LI

Citations
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top 11%

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