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<p>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 <a href="https://clinicaltrials.gov/ct2/show/NCT06791902?term=NCT06791902">NCT06791902</a>.</p>

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

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年6月15日

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  • Stefano Scafa,
  • Valeria de Seta,
  • Ruijia Wang,
  • Paula Sánchez López,
  • Andrea Sánchez López,
  • Camille Varescon,
  • Icare Sakr,
  • Nadia Bérard,
  • Lea Bole-Feysot,
  • Céline Deschenaux,
  • Ian Enderli,
  • Yohann Thenaisie,
  • Morgane Burri,
  • Frédéric Merlos,
  • Vanessa Fleury,
  • Benoit Wicki,
  • Ettore Accolla,
  • Andria Tziakouri,
  • Cécile Hübsch,
  • Mayte Castro Jiménez,
  • Julien F. Bally,
  • Alessandro Puiatti,
  • Kyuhwa Lee,
  • Henri Lorach,
  • Antoine Collomb-Clerc,
  • Jocelyne Bloch,
  • Eduardo M. Moraud

摘要

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.