. Scientific Frontline: Does isolated REM sleep behavior disorder predict Parkinson’s disease or dementia?

Thursday, September 25, 2025

Does isolated REM sleep behavior disorder predict Parkinson’s disease or dementia?

Image Credit: Gerd Altmann

An international research team led by Université de Montréal medical professor Shady Rahayel has made a major breakthrough in predicting neurodegenerative diseases. 

Thanks to two complementary UdeM studies, scientists are now able to determine, years in advance, which individuals with a particular sleep disorder will develop Parkinson’s disease or dementia with Lewy bodies (DLB). 

The studies focus on isolated REM sleep behavior disorder (iRBD)—a condition in which people yell, thrash, or act out their dreams, sometimes violently enough to injure a bed partner. 

“It’s not just restless sleep—it’s a neurological warning sign,” said Rahayel, a neuropsychologist and researcher at the Centre for Advanced Research in Sleep Medicine at Sacré-Cœur Hospital in Montreal. 

Roughly 90 per cent of people with this sleep disorder will go on to eventually develop Parkinson’s disease or DLB. Until now, however, it was impossible to know which disease would occur—or when. 

Shady Rahayel, Celine Haddad and Violette Ayral
Photo Credit: Courtesy

First biomarker: predicting Parkinson’s

The first study, led by UdeM doctoral student in neurosciences Violette Ayral and published in Neurology on September 16, involved 428 participants from five countries: Canada, the United States, France, the United Kingdom and Czechia. 

It examined the brain’s glymphatic system—a network that clears metabolic waste during sleep, including proteins linked to neurodegeneration. When this system is impaired, waste accumulates, potentially triggering diseases like Parkinson’s. 

Using an advanced MRI technique known as DTI-ALPS, researchers measured fluid circulation in specific brain regions in 250 patients with iRBD and 178 healthy control subjects, with an average follow-up of six years. 

The key finding: patients with a lower DTI-ALPS index in the left hemisphere of the brain (indicating reduced fluid circulation) were 2.4 times more likely to develop Parkinson’s disease in the years that followed. No such link was found for dementia with Lewy bodies. 

“This asymmetry mirrors what we see clinically in early Parkinson’s, where motor symptoms often start on one side of the body – it may mark the very earliest stage of the disease,” said Ayral. 

This is the first evidence that glymphatic function, as measured by MRI, can predict progression to Parkinson’s—and the largest international study ever conducted on this topic among patients with polysomnography-confirmed REM sleep disorder. 

Second biomarker: predicting DLB

The second study, led by UdeM doctoral student in neuropsychology Celine Haddad and published in Alzheimer’s & Dementia on September 19, focused on 438 participants from the same five countries as the first study. 

It took a different approach to predict the onset of DLB —a condition combining Parkinsonian symptoms (tremors, rigidity) and Alzheimer-like symptoms (cognitive impairment, confusion, hallucinations). It's the second most common degenerative dementia after Alzheimer’s. 

Researchers measured the amount of “free water” — water not bound by brain cells and able to flow freely between them — in the basal nucleus of Meynert, a key region for thought and reasoning. This free water is a sign of early microscopic changes, such as inflammation or cell loss, and serves as an indirect marker of neuronal degeneration. 

After a median follow-up of 8.4 years, the results were striking: individuals who developed DLB had significantly higher levels of free water in this brain region, making them eight times more likely to convert to this form of dementia. This method proved more sensitive than traditional approaches based on brain atrophy. 

“What’s fascinating is that this marker picks up very early changes—even before symptoms emerge,” said Haddad.

Toward precision medicine

These studies represent the largest international imaging research ever done on patients with polysomnography-confirmed iRBD, and pave the way for personalized screening tests to predict which disease will develop before symptoms appear. 

Clinicians will be able to tailor medical monitoring to each patient’s trajectory and better target clinical trials for preventive treatments, the researchers say, adding that their early intervention model could transform care for neurodegenerative diseases by addressing them before irreversible damage occurs. 

“We already knew that isolated REM sleep behavior disorder is a warning sign for these diseases," said Rahayel. “What we didn’t know was who would develop what. Thanks to these complementary studies, we now have tools to better predict and personalize care.”

Funding: Funding was provided by Parkinson Canada, the Alzheimer Society of Canada, the Parkinson’s Foundation, and several international partners.

Published in journal: Neurology

TitleAssociation of DTI-ALPS Glymphatic Index With Differential Phenoconversion in Isolated REM Sleep Behavior Disorder: A Multi-Cohort MRI Study

Authors: Violette Ayral, Alexandre Pastor-Bernier, Véronique Daneault, Christina Tremblay, Marie Filiatrault, Celine Haddad, Jean-François Gagnon, Ronald B Postuma, Petr Dušek, Stanislav Marecek, Zsoka Varga, Johannes C Klein, Michele T Hu, Stéphane Lehéricy, Isabelle Arnulf, Marie Vidailhet, Jean-Christophe Corvol, ICEBERG Study Group, and Shady Rahayel

Additional Study

Published in journal: Alzheimer’s & Dementia

TitleFree water predicts dementia with Lewy bodies in isolated REM sleep behavior disorder

Authors: Celine Haddad, Véronique Daneault, Violette Ayral, Marie Filiatrault, Alexandre Pastor-Bernier, Christina Tremblay, Arnaud Boré, Maxime Descoteaux,  Andrew Vo, Jean-François Gagnon, Ronald B Postuma, Petr Dusek, Stanislav Marecek, Zsoka Varga, Johannes Klein, Michele T Hu, Stéphane Lehéricy, Isabelle Arnulf, Marie Vidailhet, Jean-Christophe Corvol, ICEBERG Study Group, and Shady Rahayel

Source/CreditUniversité de Montréal | Julie Gazaille

Reference Number: ns092525_02

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