Researchers at Mass General Brigham have developed an AI tool that analyzes EEG data to detect subtle changes in brain waves during sleep. This method could predict cognitive decline years ahead of visible symptoms. The study, led by Dr. Shahab Haghayegh, involved 281 women aged 65 and older, many of whom developed cognitive impairments after five years. The AI tool was able to identify 85% of those who experienced cognitive decline with a 77% overall accuracy, representing a significant advance in dementia prevention strategies.
This could completely change how we approach dementia prevention," said Dr. Shahab Haghayegh, lead author of the study and an instructor at Massachusetts General Hospital and Harvard Medical School.
Researchers applied advanced information theory techniques to extract brainwave patterns from the EEG data collected during the sleep study.
The AI tool correctly flagged 85% of individuals who eventually experienced cognitive decline, with an overall accuracy of 77%.
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