Session Schedule

Find a specific presentation in the session by navigating to the timestamp indicated below.

0:00:00
Leveraging structural MRI and neurocomputational models to predict disease pathways in iRBD
Shady Rahayel (Canada)

19:12
Brain molecular imaging for predicting phenoconversion and monitoring disease progression in iRBD
Giulia Carli (United States)

0:38:35
EEG and sleep structure features as disease progression biomarkers in iRBD
Andreas Brink-Kjaer (Denmark)

1:03:26
Structural connectivity alterations and network reorganisation in iRBD
Christina Tremblay (Canada)

1:18:34
Question and answer

Summary

Isolated REM sleep behavior disorder (iRBD) is a parasomnia characterized by muscle atonia loss and abnormal motor and vocal behaviors during REM sleep. It is the strongest prodromal marker of synucleinopathies, such as Parkinson’s disease (PD) and dementia with Lewy bodies (DLB), offering a unique opportunity to identify and intervene in the earliest stages of neurodegenerative diseases. Despite advances in understanding iRBD clinical features, predicting conversion timing and disease trajectories, as well as translating brain imaging and electrophysiological research into clinical practice, remains a significant challenge.

This symposium will present cutting-edge research on biomarkers associated with iRBD, focusing on brain imaging and electrophysiology. It will emphasize how these advances can inform clinical trials, optimize prognostic care, and support the development of neuroprotective strategies. Featuring a diverse panel of international iRBD experts in brain imaging, artificial intelligence, computational neuroscience, and electrophysiology, the session will provide a comprehensive overview of the latest findings and their translational potential.