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AI Algorithm Detects Early Signs of Dementia and Parkinson’s in Sleep Movements

by Dr. Michael Lee – Health Editor

Nighttime Sleep Disturbances May Signal Onset of Parkinson’s or⁤ Dementia Years Before Diagnosis

PARIS – New research suggests that disruptions during⁤ Rapid Eye Movement (REM) sleep, detectable through ⁢analysis of nocturnal movements, could serve as an early warning‌ sign for⁤ neurodegenerative diseases like Parkinson’s disease and various forms of dementia, potentially years before the emergence‍ of clinical symptoms.‍

Scientists​ have ‍identified a correlation between inflammation affecting brain regions responsible for dopamine⁤ production – a neurotransmitter crucial for motor control and cognitive functions – and these sleep ‌disturbances, known as TCSP (presumably Total Corporal Sleep ⁤Period).‌ This same neurological area is also known to ⁢be vulnerable‌ in the early stages⁤ of Parkinson’s and dementia.

The ability to identify these “alarm signals” early could allow for therapeutic interventions before ⁤the onset of ​more recognizable symptoms, a critical development⁢ given the​ increasing ⁢prevalence of dementia in aging populations.

Currently, doctors lack objective tools to accurately assess the severity of sleep-related ​symptoms.⁢ This new technology offers the potential for⁢ personalized treatment plans tailored to ⁤individual ⁢patient⁤ needs. Simplified and more accessible ⁢screening could quickly identify individuals at higher⁣ risk.

Furthermore, the technology facilitates longitudinal ‍patient‍ monitoring, tracking ⁣the evolution of nocturnal disorders over time to better ⁢understand disease progression and the effectiveness of ⁢preventative measures. Researchers believe this represents a important step towards more precise predictive medicine, utilizing nighttime signals as valuable indicators in the fight⁣ against neurodegenerative diseases.

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