ArticleIEEE transactions on medical imaging2021
Robust Bayesian Analysis of Early-Stage Parkinson's Disease Progression Using DaTscan Images.
Article in IEEE transactions on medical imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Early parkinson's disease: levodopa requirements are associated with the striatal DaT-uptake.Journal of neural transmission (Vienna, Austria : 1996) · 2026Article
- Neuroimaging-based data-driven subtypes of spatiotemporal atrophy due to Parkinson's disease.Brain communications · 2025Article
- Clinical correlates of dopamine transporter availability in cross-sectional and longitudinal studies with [Brain communications · 2024Article
- Chaudhuri's Dashboard of Vitals in Parkinson's syndrome: an unmet need underpinned by real life clinical tests.Frontiers in neurology · 2023Review
- Self-normalized Classification of Parkinson's Disease DaTscan Images.Proceedings. IEEE International Conference on Bioinformatics and Biomedicine · 2021Article
- Comprehensive subtyping of Parkinson's disease patients with similarity fusion: a case study with BioFIND data.NPJ Parkinson's disease · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
This paper proposes a mixture of linear dynamical systems model for quantifying the heterogeneous progress of Parkinson's disease from DaTscan Images. The model is fitted to longitudinal DaTscans from the Parkinson's Progression Marker Initiative. Fitting is accomplished using robust Bayesian inference with collapsed Gibbs sampling. Bayesian inference reveals three image-based progression subtypes which differ in progression speeds as well as progression trajectories. The model reveals characteristic spatial progression patterns in the brain, each pattern associated with a time constant. These patterns can serve as disease progression markers. The subtypes also have different progression rates of clinical symptoms measured by MDS-UPDRS Part III scores.
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