Identification of Biological Subtypes of Friedreich Ataxia with Structural MRI-based Machine Learning - PubMed
2 days ago
- #MRI
- #Friedreich ataxia
- #neurodegenerative disease
- Friedreich ataxia (FRDA) is a progressive neurodegenerative disease with biological variability in disease progression.
- The study used the Subtype and Stage Inference (SuStaIn) algorithm on structural MRI data to stratify FRDA participants.
- Three distinct FRDA subtypes were identified: classical (66.5%), early cerebral (25.8%), and early cerebellar (7.64%).
- The classical subtype shows damage progression from brainstem to cerebellar cortex to cerebrum.
- The early cerebral subtype exhibits cerebral atrophy before cerebellar involvement.
- The early cerebellar subtype features cerebellar lobule atrophy before brainstem or cerebral involvement.
- Disease stage correlated with symptom duration and severity, with variations among subtypes.
- The early cerebral subtype showed weaker associations between biological stage and clinical variables compared to others.