RESEARCH / DISCOVERY
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Activity-dependent adaptive deep brain stimulation improves gait in Parkinson's disease.

Activity-dependent adaptive deep brain stimulation improves gait in Parkinson's disease.

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The study site has not been established. Author addresses may differ from where the research occurred.

Lausanne, CH · Author affiliation

Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.
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CH · Author affiliation · country only

Institute of Digital Technologies for Personalized Healthcare (MeDiTech), University of Southern Switzerland (SUPSI), Viganello, Switzerland.
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Geneva, CH · Author affiliation

Neuro-X Institute, École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland.
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Fribourg, CH · Author affiliation

Department of Neurology, Hôpital Fribourgeois, Fribourg, Switzerland.
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Original abstract

Parkinson's disease leads to a spectrum of locomotor deficits that vary in severity with the nature of daily activities and the fluctuating physiology of patients. Many of these deficits remain inadequately addressed by existing deep brain stimulation therapies that rely on activity-agnostic parameters optimized for cardinal motor symptoms. By contrast, therapies embedding activity-specific parameters have the potential to better address the entire range of symptoms. Here we expose physiological principles that enable real-time decoding of ongoing locomotor activities across motor fluctuations from the neural dynamics of the subthalamic nucleus. This decoding steered activity-dependent adaptations of deep brain stimulation therapies that improved locomotor deficits while preserving efficacy for cardinal motor symptoms across activities of daily living. Our activity-dependent framework provides a blueprint for next-generation neuromodulation therapies that continuously select parameters optimized to the behavioral context and fluctuating physiology of each patient. ClinicalTrials.gov registration NCT06791902 .

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