Balancing practicality and complexity in neuroimaging models of Parkinson's disease progression




Kaasinen, Valtteri; van Eimeren, Thilo

PublisherNATURE PORTFOLIO

2025

NPJ Parkinson's disease

262

11

1

2373-8057

DOIhttps://doi.org/10.1038/s41531-025-01125-6

https://www.nature.com/articles/s41531-025-01125-6

https://research.utu.fi/converis/portal/detail/Publication/500427468



Reliable progression models are essential for clinical decision-making and trial design in Parkinson’s disease. We discuss linear, exponential, and sigmoidal patterns in PET and SPECT data, emphasizing the mismatch between biomarker and clinical trajectories. We propose more adaptable modeling strategies to improve patient stratification, support trial outcomes, and align imaging biomarkers with real-world disease complexity.


V.K.: Advisory Boards (Abbvie, Nordic Infucare), Partnerships (Aqsens Health), Honoraria (Abbvie, Nordic Infucare, Lundbeck, Teva), Grants (the Finnish Parkinson Foundation, the Päivikki and Sakari Sohlberg Foundation, the Finnish Cultural Foundation, the Turku University Foundation, Turku University Hospital (VTR-funds). T.E.: Advisory Boards (ICON, Bial, Lundbeck Foundation), Honoraria (Eisai, International Society for Parkinson and Movement Disorders, Korean Movement Disorders Society), Consultancies (GT Gain Therapeutics SA, INSERM), Grants (German Research Foundation, Humboldt Foundation, Brandau-Laibach Foundation).


Last updated on 2025-03-10 at 08:47