B1 Non-refereed article in a scientific journal
Balancing practicality and complexity in neuroimaging models of Parkinson's disease progression
Authors: Kaasinen, Valtteri; van Eimeren, Thilo
Publisher: NATURE PORTFOLIO
Publication year: 2025
Journal: NPJ Parkinson's disease
Article number: 262
Volume: 11
Issue: 1
eISSN: 2373-8057
DOI: https://doi.org/10.1038/s41531-025-01125-6
Publication's open availability at the time of reporting: Open Access
Publication channel's open availability : Open Access publication channel
Web address : https://www.nature.com/articles/s41531-025-01125-6
Self-archived copy’s web address: 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.
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Funding information in the publication:
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).
