Neuro-Sleep and RBD Expert, Researcher in Prodromal Parkinson's Disease, Building the https://xitter.cf/t.co/jnUZfJETeK

Manhattan, New York
Joined March 2019
REM sleep behavior disorder (RBD) may be one of the earliest signals of Parkinson’s and related disorders. People with RBD physically act out their dreams, often years before other symptoms appear. We are building a program to detect this risk earlier: rbdprogram.com
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One challenge in Parkinson’s disease research is identifying people at risk before motor symptoms emerge. REM sleep behavior disorder (RBD) offers an important opportunity: it can precede Parkinson’s disease and related disorders by years. Can we use clinical assessment, biomarkers, and wearable technology to identify risk earlier?
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Not all sleep talking is a warning sign. But recurrent shouting, cursing, or physically acting out dreams during sleep can be a sign of REM sleep behavior disorder (RBD). RBD can precede Parkinson’s disease, dementia with Lewy bodies, or MSA by years. Recognizing it matters.
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I’ve spent much of my career caring for people with RBD, which can precede Parkinson’s disease by years. What if we could identify those at risk before neurological symptoms emerge? That’s our mission at Mount Sinai.
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Most people have never heard of REM sleep behavior disorder (RBD). People with RBD physically act out their dreams, sometimes shouting, punching or kicking in sleep. RBD can precede Parkinson’s disease by years, offering a window for earlier detection. We need to recognize it
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Excited to launch the Mount Sinai Early Parkinson’s Detection and Prevention Program—a nationwide initiative to identify REM Sleep Behavior Disorder (#RBD), one of the earliest warning signs of Parkinson’s disease. Learn more: RBDprogram.com #Parkinsons #DigitalHealth
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🧠✨ New in @npjDigitMed: Our team demonstrates that wrist actigraphy + ML can accurately detect REM sleep behavior disorder (RBD) across 4 international centers and multiple wearable devices. A scalable, home-based path to early #Parkinsons detection. 🔗 nature.com/articles/s41746-0…
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Emmanuel H During, MD retweeted
Can we better classify iRBD through validated tools and devices? Can this potentially lead to better understanding of neurodegenerative risk? All these questions answered by @DuringMd in our latest interview, set to go live 🚨later this week! #SLEEP2025
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Just published: New @IRBD_StudyGroup guidelines on symptomatic treatments for REM sleep behavior disorder (RBD). Honored to have led this 5-year global effort. Objective endpoints are crucial in RCT. Grateful to the incredible team behind this work. #RBD #SleepMedicine
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Presented the latest in AI and emerging technologies at the International RBD Study Group meeting in Groningen 🇳🇱. Always inspiring to reunite with this exceptional community advancing the science of RBD and prodromal synucleinopathies. @IRBD_StudyGroup #RBD #AI #SleepResearch
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Emmanuel H During, MD retweeted
Join a cutting-edge research on sleep & neurodegeneration. Looking for a Masters or Post-doc with bioengineering + signal processing skills to advance Parkinson’s detection using wearables & polysomnography. DM for details. #parkinson #sleep #wearable #dementia
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Nice article covering our recent paper on AI and video diagnostics of REM sleep behavior disorder. scitechdaily.com/ai-revoluti…
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Mount Sinai researchers enhanced an AI algorithm to improve diagnosis of REM sleep behavior disorder (RBD), linked to Parkinson’s & dementia. Affecting 80M+ worldwide, RBD causes abnormal movements during REM sleep. Learn more: bit.ly/3WdZe5g
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Emmanuel H During, MD retweeted
It’s crazy how talking with a science buddy is simultaneously what’s most likely to move the project forward and the thing that’s least prioritized in our schedule.
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Join a cutting-edge research on sleep & neurodegeneration. Looking for a Masters or Post-doc with bioengineering + signal processing skills to advance Parkinson’s detection using wearables & polysomnography. DM for details. #parkinson #sleep #wearable #dementia
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