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

Hum Brain Mapp. 2023 Jun 15;44(9):3758-3780. doi: 10.1002/hbm.26310. Epub 2023 Apr 17.

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 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.

Keywords: MRI; diffusion; healthy subject; myelin; reliability; variability; white matter.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Brain / diagnostic imaging
  • Humans
  • Longitudinal Studies
  • Magnetic Resonance Imaging
  • Myelin Sheath
  • Reproducibility of Results
  • White Matter* / diagnostic imaging