Probabilistic mapping of gait changes after STN-DBS for Parkinson's disease
Probabilistic mapping showed a strong correlation with therapy outcomes, especially gait improvement, and provided predictive value at the individual level. While the concept of sweet- or sourspots was insufficient to explain individual variability, the heatmap-based approach allowed symptom-specific topographies to be identified. Our findings support the use of probabilistic mapping as a valuable tool to guide individualized reprogramming strategies for improving mobility in Parkinson's disease.
Authors
- Florian Lange (ORCID: https://orcid.org/0000-0001-8497-7780)
- Robert Nickl (ORCID: https://orcid.org/0000-0002-0108-5494)
- Patrick Fricke
- Martin M. Reich (ORCID: https://orcid.org/0000-0001-9115-5136)
- Jonas Roothans (ORCID: https://orcid.org/0000-0001-6694-116X)
- Jens Volkmann (ORCID: https://orcid.org/0000-0002-9570-593X)
- Ioannis U. Isaias (ORCID: https://orcid.org/0000-0002-3552-5144)
- Jörg Grossmann
- Philipp Capetian (ORCID: https://orcid.org/0000-0003-1712-3659)
- Cordula Matthies (ORCID: https://orcid.org/0000-0002-1729-9411)
- Hazem Eldebakey
- P Navrátil (ORCID: https://orcid.org/0000-0002-0705-017X)
Institutions
- Universitätsklinikum Würzburg (DE)
- Stiftung Juliusspital (DE)
Publication Details
- Journal
- Parkinsonism & Related Disorders
- Published
- 2025-05-16
- DOI
- https://doi.org/10.1016/j.parkreldis.2025.107871
- Citations
- 3
- Primary Topic
- Neurological disorders and treatments
- Type
- article
- Field-Weighted Citation Impact
- 4.17
Funders
- Deutsche Gesellschaft für Parkinson und Bewegungsstörungen
- Deutsche Forschungsgemeinschaft
- Deutsche Parkinson Vereinigung