Domain‐Specific Prediction of Clinical Progression in Parkinson's Disease Using the Mosaic Approach
No associations were found for cognitive function. The extremity-specific MAP predicted extremity-specific motor progression over 1 and 3 years above chance level. The MAP framework allows for domain-specific prediction of customized PD disease progression, which can inform machine learning, thereby contributing to personalized PD patient care.
Authors
- Jan S. Kirschke (ORCID: https://orcid.org/0000-0002-7557-0003)
- Marlene Tahedl (ORCID: https://orcid.org/0000-0003-1762-4824)
- Benedikt Wiestler (ORCID: https://orcid.org/0000-0002-2963-7772)
- Dennis M. Hedderich (ORCID: https://orcid.org/0000-0001-8994-5593)
- Ulrich Bogdahn (ORCID: https://orcid.org/0000-0003-0826-7482)
- Claus Zimmer (ORCID: https://orcid.org/0000-0002-4805-9103)
- B Wimmer
Institutions
- Universität Innsbruck (AT)
- University Hospital Regensburg (DE)
- University of Regensburg (DE)
- Technical University of Munich (DE)
Publication Details
- Journal
- Brain and Behavior
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1002/brb3.70289
- Citations
- 1
- Primary Topic
- Parkinson's Disease Mechanisms and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.39