Researchers at Mass General Brigham have developed an AI tool that analyzes sleep EEG recordings to detect subtle brainwave changes. In a five-year study of 281 women aged 65 and older in Massachusetts, early signs of cognitive decline were identified.
AI detects subtle EEG changes to forecast cognitive decline early.
The AI tool, using advanced information theory, flagged 85% of at-risk individuals with 77% overall accuracy. Data came from a fracture risk trial and sleep study. Significant findings, published in the Journal of Alzheimer’s Disease, indicate promise for early intervention.
Advanced AI discerns early dementia signs through sleep EEG analysis. Dr. Shahab Haghayegh
Study results underscore potential for wearable EEG devices and future clinical trials. Early detection may guide lifestyle adjustments and emerging FDA-approved therapies aimed at slowing Alzheimer’s progression. Researchers hope that enhancing sleep monitoring and testing electrical stimulation will further improve intervention strategies and patient outcomes. Promising outcomes support urgent research.
