Abstract

Diffusion tensor imaging (DTI) has shown microstructural abnormalities in patients with Huntington’s Disease (HD) and work is underway to characterise how these abnormalities change with disease progression. Using methods that will be applied in longitudinal research, we sought to establish the reliability of DTI in early HD patients and controls. Test-retest reliability, quantified using the intraclass correlation coefficient (ICC), was assessed using region-of-interest (ROI)-based white matter atlas and voxelwise approaches on repeat scan data from 22 participants (10 early HD, 12 controls). T1 data was used to generate further ROIs for analysis in a reduced sample of 18 participants. The results suggest that fractional anisotropy (FA) and other diffusivity metrics are generally highly reliable, with ICCs indicating considerably lower within-subject compared to between-subject variability in both HD patients and controls. Where ICC was low, particularly for the diffusivity measures in the caudate and putamen, this was partly influenced by outliers. The analysis suggests that the specific DTI methods used here are appropriate for cross-sectional research in HD, and give confidence that they can also be applied longitudinally, although this requires further investigation. An important caveat for DTI studies is that test-retest reliability may not be evenly distributed throughout the brain whereby highly anisotropic white matter regions tended to show lower relative within-subject variability than other white or grey matter regions.

Highlights

  • Magnetic resonance imaging (MRI) is a valuable tool for investigating the progressive changes caused by neurodegenerative diseases, such as Huntington’s Disease (HD)

  • The results suggest that fractional anisotropy (FA) and other diffusivity metrics are generally highly reliable, with intraclass correlation coefficient (ICC) indicating considerably lower within­subject compared to between­subject variability in both HD patients and controls

  • Test­retest reliability of T1­based and atlas ROIs showed generally high ICCs indicating good of levels of reliability (Tables 2­5). This was the case for all diffusion metrics (i.e. FA, mean diffusivity (MD), radial diffusivity (RD) and axial diffusivity (AD))

Read more

Summary

Introduction

Magnetic resonance imaging (MRI) is a valuable tool for investigating the progressive changes caused by neurodegenerative diseases, such as Huntington’s Disease (HD). A popular variant of MRI, diffusion weighted imaging (DWI) and the most commonly used analytic model, diffusion tensor imaging (DTI), can offer unique insights into the microstructural properties of both white and grey matter. One major strength of MRI is the ability to collect neuroanatomical data from multiple timepoints on a given sample in order to carry out longitudinal research studies; pertinent in progressive diseases such as HD. Volumetric MRI has quantified on­going caudate nucleus atrophy across multiple disease stages 9,10, and offers utility as potential biomarkers of disease progression. Longitudinal DWI has been performed in HD 11,12,13,14, but these preliminary studies have been limited in scope and provided inconclusive results (see 15 for review)

Objectives
Methods
Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.