Probabilistic mapping of gait changes after STN-DBS for Parkinson's disease Article Swipe

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Parkinson's disease Gait Physical medicine and rehabilitation Probabilistic logic Medicine Disease Computer science Artificial intelligence Internal medicine

Robert Nickl , Hazem Eldebakey , Jörg Grossmann , Jonas Roothans , P Navrátil , Ioannis U. Isaias , Florian Lange , Patrick Fricke , Philipp Capetian , Cordula Matthies , Jens Volkmann , Martin M. Reich ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.1016/j.parkreldis.2025.107871 · OA: W4410421423

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.