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High-frequency longitudinal white matter diffusion- and myelin-based MRI database: Reliability and variability
Manon Edde1,2, Guillaume Theaud2, Matthieu Dumont2
1Sherbrooke Connectivity Imaging Lab (SCIL), Université de Sherbrooke, Sherbrooke, QC, Canada.
Human Brain Mapping
|April 17, 2023
Summary
Quantitative MRI measures show moderate to high reliability for assessing white matter in healthy adults. These findings support using diffusion and myelin MRI for reliable biomarkers in clinical trials and patient-specific treatments.
Area of Science:
- Neuroimaging
- Biomarkers
- White Matter Integrity
Background:
- Consistency of quantitative MRI is crucial for longitudinal studies and clinical trials.
- Diffusion and myelin-based MRI measures require robust evaluation for clinical application.
Purpose of the Study:
- To assess the consistency of diffusion- and myelin-based MRI measures.
- To evaluate reliability across whole bundles and track-profiles.
- To determine the impact of fiber populations on measurement consistency.
Main Methods:
- Collected multi-shell diffusion and inhomogeneous magnetization transfer data from 20 healthy adults across five MRI sessions.
- Utilized intraclass coefficient correlation and coefficient of variation for consistency evaluation.
- Analyzed consistency across whole bundles, track-profiles, and fiber populations using orientation maps.
Main Results:
- Observed moderate to high reliability for both diffusion and myelin measures across whole and profile bundles.
- Demonstrated higher reliability for measures involving multiple fiber populations compared to single fiber populations.
- Identified consistent MRI measurements and bundles across various techniques.
Conclusions:
- Quantitative MRI measures exhibit reliable consistency, suitable for longitudinal studies.
- Reliable diffusion and myelin measures can serve as biomarkers for detecting and monitoring white matter changes.
- Findings can inform patient-specific treatment strategies and advance clinical applications of MRI.
