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

Artificial Intelligence on Molecular Imaging to Predict the Risks of Parkinson's Disease for Patients With Rapid Eye Movement Sleep Behavior Disorder

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.

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