An image-based model of brain volume biomarker changes in Huntington's disease.

Peter A WijeratneAlexandra L YoungNeil P OxtobyRazvan V MarinescuNicholas C FirthEileanoir B JohnsonAmrita MohanCristina SampaioRachael I ScahillSarah J TabriziDaniel C Alexander

Published in: Annals of clinical and translational neurology (2018)

We used a data-driven method to provide new insight into Huntington's disease progression as well as new power to stage and predict conversion. Our results highlight the potential of disease progression models, such as the event-based model, to provide new insight into Huntington's disease progression and to support fine-grained patient stratification for future precision medicine in Huntington's disease.

Keyphrases

air pollution
molecular dynamics
deep learning
case report
white matter
resting state
current status
machine learning
functional connectivity
risk assessment
human health
climate change
blood brain barrier
cerebral ischemia