| Title: | Orthogonal moment diffusion tensor decomposition reveals age-related degeneration patterns in complex fiber architecture |
| Journal: | Neurobiology of Aging |
| Published: | 3 Feb 2021 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/33610963/ |
| DOI: | https://doi.org/10.1016/j.neurobiolaging.2020.12.020 |
Publication 7479
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
Abstract
Diffusion tensor imaging (DTI) consistently detects increased mean diffusivity and decreased fractional anisotropy with advancing age in regions of primarily single white matter (WM) fiber populations, but findings have been inconsistent in regions of more complex fiber architecture. Given that DTI remains more common for characterizing aging WM than advanced diffusion MRI models due to DTI's simplicity, robustness, and efficiency, it is critical to strive to maximize the information extracted from DTI across the entire WM. The present study uses an orthogonal diffusion tensor decomposition based on the 3 eigenvalue moments (mean diffusivity, norm of anisotropy, and mode of anisotropy), yielding clear voxelwise degeneration patterns across the WM, including regions of complex fiber architecture. This indicates that the previous challenges of DTI in these regions were due to the choice of tensor decomposition rather than the DTI model itself. This study therefore presents a revised view of DTI of aging WM and indicates how age-related degeneration in complex fiber architecture can manifest in forms other than decreased fractional anisotropy.3 Authors
- Jordan A Chad
- Ofer Pasternak
- J Jean Chen
Enabling scientific discoveries that improve human health