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Artificial Intelligence in Molecular Imaging: Predicting Parkinson's Risk in REM Sleep Behavior Disorder

Artificial Intelligence in Molecular Imaging: Predicting Parkinson's Risk in REM Sleep Behavior Disorder

Recruiting
18 years and older
All
Phase N/A

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Overview

The study aims to systematically document the course of REM sleep behavior disorder (RBD) and investigate possible clinical and imaging biomarkers for disease progression and conversion risk to Parkinson's disease (PD), dementia with Lewy bodies (DLB), and multiple system atrophy (MSA). The study will use artificial intelligence to analyze imaging and develop a reliable method to predict and stratify patients approaching conversion to overt a-synucleinopathy. Participants will be clinically evaluated and 2 imaging procedures will be done.

Eligibility

Inclusion Criteria:

  1. Confirmed clinical iRBD diagnosis by movement disorder specialists according to the International Classification of Sleep Disorders
  2. Written informed consent

Exclusion Criteria:

  1. Known diagnosis of PD or other neurodegenerative disorder
  2. Unequivocal signs of parkinsonism on examination
  3. Narcolepsy or other known causes of RBD
  4. Moderate to severe obstructive sleep apnea
  5. Abnormal neurological or MRI examination

Study details
    Parkinson Disease
    REM Sleep Behavior Disorder
    Dementia
    Lewy Body

NCT06629207

Insel Gruppe AG, University Hospital Bern

26 August 2025

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