Szczegóły publikacji

Opis bibliograficzny

T1- and diffusion tensor-based fractal dimension of white and grey matter in multiple sclerosis / Weronika MAZUR-ROSMUS, Zofia SCHNEIDER, Agnieszka Słowik, Artur Tadeusz KRZYŻAK // Frontiers in Neurology [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN  1664-2295 . — 2026 — vol. 16 art. no. 1618319, s. 01-17. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 16-17, Abstr. — Publikacja dostępna online od: 2026-01-07

Autorzy (4)

Słowa kluczowe

systematic errordiffusion tensor imagingnon-uniform gradientsmultiple sclerosisfractal dimensionfractional anisotropy

Dane bibliometryczne

ID BaDAP166135
Data dodania do BaDAP2026-04-16
Tekst źródłowyURL
DOI10.3389/fneur.2025.1618319
Rok publikacji2026
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Creative Commons
Czasopismo/seriaFrontiers in Neurology

Abstract

Introduction: Multiple sclerosis (MS) changes brain microstructure even at early disease stages, with changes detectable in normal-appearing white matter (NAWM) and grey matter (GM). Diffusion tensor imaging (DTI) is sensitive to such alterations, while fractal dimension (FD) provides complementary information on tissue complexity. We hypothesized that T1-based FD offers additional diagnostic value beyond DTI-derived metrics of tissue integrity, including fractional anisotropy (FA) and mean diffusivity (MD). Methods: MRI data were acquired from 120 patients with relapsing–remitting MS and low mean Expanded Disability Status Scale (EDSS) scores, as well as 75 healthy control (HC) participants. FD, FA, and MD were quantified in global brain tissues and within white matter (WM) skeletons, both with and without lesion masking. The interactions between FD and DTI metrics were assessed, and classification models were constructed to evaluate diagnostic performance. Results: WM in MS exhibited reduced FD and FA alongside elevated MD, consistent with demyelination and axonal degradation. GM demonstrated higher FD, FA, and MD values, suggesting a more nuanced interplay of inflammatory remodeling, dendritic reorganization and compensatory structural adaptation. The limited impact of lesion masking on group-average metrics, but its marked effect on FD-DTI interactions, revealed that lesions regulate structural variance without dominating global tissue complexity. FD proved particularly sensitive at tissue interfaces, where geometry is disrupted, whereas WM skeleton analyses reflected preserved regularity of core tracts, even amid microstructural degeneration. Discussion: 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.

Publikacje, które mogą Cię zainteresować

artykuł
#162537Data dodania: 17.9.2025
Diagnostic performance of a multi-shell DTI protocol and its subsets with B-matrix spatial distribution correction in differentiating early multiple sclerosis patients from healthy controls / Artur Tadeusz KRZYŻAK, Julia LASEK, Agnieszka Słowik // Frontiers in Neurology [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 1664-2295. — 2025 — vol. 16 art. no. 1618582, s. 1–9. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 9, Abstr. — Publikacja dostępna online od: 2025-07-28. — A. T. Krzyżak, J. Lasek - dod. afiliacja: The LaTiS NMR - Tomography and Spectroscopy Laboratory, Kraków, Poland
artykuł
#153622Data dodania: 17.6.2024
Diffusion tensor imaging metrics as natural markers of multiple sclerosis-induced brain disorders with a low Expanded Disability Status Scale score / Artur Tadeusz KRZYŻAK, Julia LASEK, Zofia SCHNEIDER, Marcin Wnuk, Amira Bryll, Tadeusz Popiela, Agnieszka Słowik // NeuroImage ; ISSN 1053-8119. — 2024 — vol. 290 art. no. 120567, s. 1–10. — Bibliogr. s. 9–10, Abstr. — Publikacja dostępna online od: 2024-03-11