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High‐frequency longitudinal white matter diffusion‐ and myelin‐based MRI database: Reliability and variability

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 myelin‐based MRI measures. Multi...

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Autores principales: Edde, Manon, Theaud, Guillaume, Dumont, Matthieu, Théberge, Antoine, Valcourt‐Caron, Alex, Gilbert, Guillaume, Houde, Jean‐Christophe, Maltais, Loika, Rheault, François, Spagnolo, Federico, Barakovic, Muhamed, Magon, Stefano, Descoteaux, Maxime
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10203793/
https://www.ncbi.nlm.nih.gov/pubmed/37067096
http://dx.doi.org/10.1002/hbm.26310
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author Edde, Manon
Theaud, Guillaume
Dumont, Matthieu
Théberge, Antoine
Valcourt‐Caron, Alex
Gilbert, Guillaume
Houde, Jean‐Christophe
Maltais, Loika
Rheault, François
Spagnolo, Federico
Barakovic, Muhamed
Magon, Stefano
Descoteaux, Maxime
author_facet Edde, Manon
Theaud, Guillaume
Dumont, Matthieu
Théberge, Antoine
Valcourt‐Caron, Alex
Gilbert, Guillaume
Houde, Jean‐Christophe
Maltais, Loika
Rheault, François
Spagnolo, Federico
Barakovic, Muhamed
Magon, Stefano
Descoteaux, Maxime
author_sort Edde, Manon
collection PubMed
description 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 myelin‐based MRI measures. Multi‐shell diffusion and inhomogeneous magnetization transfer data sets were collected from 20 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.
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spelling pubmed-102037932023-05-24 High‐frequency longitudinal white matter diffusion‐ and myelin‐based MRI database: Reliability and variability Edde, Manon Theaud, Guillaume Dumont, Matthieu Théberge, Antoine Valcourt‐Caron, Alex Gilbert, Guillaume Houde, Jean‐Christophe Maltais, Loika Rheault, François Spagnolo, Federico Barakovic, Muhamed Magon, Stefano Descoteaux, Maxime Hum Brain Mapp Research Articles 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 myelin‐based MRI measures. Multi‐shell diffusion and inhomogeneous magnetization transfer data sets were collected from 20 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. John Wiley & Sons, Inc. 2023-04-17 /pmc/articles/PMC10203793/ /pubmed/37067096 http://dx.doi.org/10.1002/hbm.26310 Text en © 2023 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Edde, Manon
Theaud, Guillaume
Dumont, Matthieu
Théberge, Antoine
Valcourt‐Caron, Alex
Gilbert, Guillaume
Houde, Jean‐Christophe
Maltais, Loika
Rheault, François
Spagnolo, Federico
Barakovic, Muhamed
Magon, Stefano
Descoteaux, Maxime
High‐frequency longitudinal white matter diffusion‐ and myelin‐based MRI database: Reliability and variability
title High‐frequency longitudinal white matter diffusion‐ and myelin‐based MRI database: Reliability and variability
title_full High‐frequency longitudinal white matter diffusion‐ and myelin‐based MRI database: Reliability and variability
title_fullStr High‐frequency longitudinal white matter diffusion‐ and myelin‐based MRI database: Reliability and variability
title_full_unstemmed High‐frequency longitudinal white matter diffusion‐ and myelin‐based MRI database: Reliability and variability
title_short High‐frequency longitudinal white matter diffusion‐ and myelin‐based MRI database: Reliability and variability
title_sort high‐frequency longitudinal white matter diffusion‐ and myelin‐based mri database: reliability and variability
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10203793/
https://www.ncbi.nlm.nih.gov/pubmed/37067096
http://dx.doi.org/10.1002/hbm.26310
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