T1- and diffusion tensor-based fractal dimension of white and grey matter in multiple sclerosis
Our findings support the concept of a surface-in gradient of complexity loss in MS. Combining FD with FA and MD substantially improved classification accuracy, particularly in WM skeleton-based models, emphasizing the diagnostic potential of geometric-microstructural integration. Widespread associations of FA with clinical covariates and age further suggest that diffuse WM alterations underpin both cognitive and clinical decline.
Authors
- Artur Krzyżak (ORCID: https://orcid.org/0000-0002-1709-9831)
- A. Słowik
- Weronika Mazur-Rosmus
- Zofia Schneider
Institutions
- Jagiellonian University (PL)
- AGH University of Krakow (PL)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2026-01-07
- DOI
- https://doi.org/10.3389/fneur.2025.1618319
- Primary Topic
- Multiple Sclerosis Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00