AI-Powered Study Targets Freezing of Gait in Parkinson's with Novel Sensory Stimulation Trial

April 29, 2025
AI-Powered Study Targets Freezing of Gait in Parkinson's with Novel Sensory Stimulation Trial
  • Researchers at Emory University and Georgia Institute of Technology are leading an innovative study utilizing AI technology to monitor freezing of gait (FOG), a debilitating symptom of Parkinson's disease.

  • Co-principal investigator Lucas Mckay emphasizes that ClassiFOG allows for precise tracking of FOG severity and frequency, enhancing treatment evaluation and clinical trial outcomes.

  • The Emory Brain Health Center’s Motion Capture Lab, equipped with advanced technology, will collect detailed 3D movement data to support the research.

  • The AI tool ClassiFOG will process data to detect the occurrence, severity, and frequency of FOG episodes, providing insights into its mechanisms and potential treatments.

  • Research suggests that accumulating amyloid-beta protein, associated with Alzheimer's disease, may also contribute to FOG in Parkinson's patients.

  • FOG affects approximately 26% of early-stage Parkinson's patients and more than 60% after ten years, significantly impacting their mobility and quality of life.

  • The study, which is a six-month randomized sham-controlled trial, will enroll approximately 24 participants aged 50-75 with stable Parkinson's at Emory's Movement Disorders Center.

  • Participants will be randomly assigned to receive either active sensory stimulation or sham stimulation during daily one-hour sessions at home, assessing the safety and preliminary effectiveness of gamma sensory flicker.

  • This symptom does not always respond to dopamine medication and may be influenced by factors such as norepinephrine depletion, neuroinflammation, and amyloid protein accumulation.

  • Gamma sensory flicker involves noninvasive stimulation at a 40 Hz frequency, which has shown potential in reducing amyloid levels and improving brain signaling patterns.

  • The study will investigate whether specific sound and light frequencies can mitigate amyloid buildup and enhance motor symptoms non-invasively.

  • Monitoring will include safety, treatment compliance, and evaluation of changes in Parkinson's symptoms, cognition, and amyloid levels in spinal fluid after six months.

Summary based on 2 sources


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