Test-retest and repositioning effects of white matter microstructure measurements in selected white matter tracts

Chaitali Anand1, Andreas M Brandmaier2,3,4, Jonathan Lynn5

  • 1Department of Radiology, University of California, San Francisco, CA, USA.

Neuroimage. Reports
|June 13, 2022
PubMed

Insights

Myelin water fraction (MWF) and geometric mean T2 relaxation time (geomT2IEW) show high test-retest reliability in white matter tracts. These MRI measures are reliable for longitudinal studies in healthy adults, even after repositioning.

Area of Science:

  • Neuroimaging
  • Quantitative MRI
  • White Matter Tract Analysis

Background:

  • Myelin water fraction (MWF) and geometric mean T2 relaxation time (geomT2IEW) are key quantitative MRI metrics.
  • Assessing the reliability of these metrics is crucial for longitudinal studies.
  • Intra-class effect decomposition (ICED) provides a robust method for reliability analysis.

Purpose of the Study:

  • To evaluate the test-retest reliability of MWF and geomT2IEW using ICED.
  • To assess reliability with and without participant repositioning.
  • To investigate reliability across seven major white matter tracts in healthy adults.

Main Methods:

  • Multi-echo MRI sequence used for data acquisition.
  • Intra-class effect decomposition (ICED) applied for reliability analysis.
  • Test-retest reliability assessed across immediate retest and repositioned scans in 20 healthy adults.

Main Results:

  • High test-retest reliability observed for both MWF and geomT2IEW across all assessed white matter tracts.
  • Repositioning contributed to unreliability primarily in longer association fibers, alongside measurement noise.
  • Hemispheric location did not significantly impact the reliability of these metrics.

Conclusions:

  • MWF and geomT2IEW demonstrate good test-retest reliability in healthy adults, suitable for longitudinal studies.
  • The reliability is maintained irrespective of hemispheric location.
  • Despite measurement noise, these quantitative MRI metrics are dependable for tracking white matter changes over time.

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