Patterns of inflammation, microstructural alterations, and sodium accumulation define multiple sclerosis subtypes after 15 years from onset

Conventional MRI is routinely used for the characterization of pathological changes in multiple sclerosis (MS), but due to its lack of specificity is unable to provide accurate prognoses, explain disease heterogeneity and reconcile the gap between observed clinical symptoms and radiological evidence...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Frontiers in neuroinformatics Ročník 17; s. 1060511
Hlavní autori:	Ricciardi, Antonio, Grussu, Francesco, Kanber, Baris, Prados, Ferran, Yiannakas, Marios C., Solanky, Bhavana S., Riemer, Frank, Golay, Xavier, Brownlee, Wallace, Ciccarelli, Olga, Alexander, Daniel C., Gandini Wheeler-Kingshott, Claudia A. M.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Switzerland Frontiers Research Foundation 23.03.2023 Frontiers Media S.A
Predmet:	Age Atrophy Biomarkers Brain research Classification Clinical medicine diffusion Inflammation Machine learning Magnetic resonance imaging MRI multi-modal Multiple sclerosis Neuroscience Pathophysiology Phenotypes quantitative Sodium sodium diffusion MRI multiple sclerosis quantitative random forest machine learning multi-modal
ISSN:	1662-5196, 1662-5196
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!