Related Experiment Video
Updated: May 16, 2025

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
Published on: July 24, 2019
Predictive modeling to uncover Parkinson's disease characteristics that delay diagnosis
Tom Hähnel1,2, Tamara Raschka3,4, Jochen Klucken5,6,7
1Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), Sankt Augustin, Germany. tom.haehnel@scai-extern.fraunhofer.de.
Abstract:
PD patients present with diverse symptoms, complicating timely diagnosis. We analyzed 1124 PD trajectories using a novel model-based approach to estimate whether diagnosis was early or late compared to cohort averages. Higher age, specific non-motor symptoms, and fast disease progression were linked to later diagnosis, while gait impairment led to earlier diagnosis. Our findings are in line with a biological definition of PD that extends beyond classical motor symptoms.
Related Concept Videos
Parkinson's Disease: Overview
Parkinson's Disease: Treatment
Parkinson's Disease is primarily a result of the loss of dopaminergic neurons in the substantia nigra pars compacta. The cornerstone of...
Neural Regulation

