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

Recruiting now · Not applicable

Conditions studied: Parkinson Disease, REM Sleep Behavior Disorder, Dementia, Lewy Body

In brief

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.

Key facts

Study ID

NCT06629207

Run by

Insel Gruppe AG, University Hospital Bern

People needed

20

Starts

2024-10-07

Expected to finish

2026-08-01

Last updated by the study team

2024-11-08

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

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

You may not qualify if…

• Known diagnosis of PD or other neurodegenerative disorder
• Unequivocal signs of parkinsonism on examination
• Narcolepsy or other known causes of RBD
• Moderate to severe obstructive sleep apnea
• Abnormal neurological or MRI examination

Where it is running

• Inselspital, University Clinic for Nuclear Medicine — Bern, Switzerland (enrolling)

Full record on ClinicalTrials.gov

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