Researchers from Mass General Brigham have developed an AI tool that analyzes brain waves during sleep to predict early signs of memory loss.
The AI tool can detect subtle differences in brain waves, especially gamma waves, which are active during deep sleep.
It accurately predicted memory issues in around 85% of cases, providing valuable time for interventions before symptoms appear.
Early detection is crucial for diseases like Alzheimer's, as treatments are most effective in the early stages of cognitive decline.
The AI tool could become a regular part of health checkups, utilizing simple and non-invasive EEG scans taken during sleep.
Future research may involve wearing EEG headbands at home to monitor brain wave patterns over multiple nights for enhanced predictive capabilities.
Researchers aim to conduct clinical trials to investigate if adjusting brain wave patterns during sleep could prevent cognitive decline.
The study, focusing on older women, marks a significant advancement in predicting future neurodegeneration using AI-powered EEG analysis.
This breakthrough AI system offers a non-invasive and easy-to-use approach to understanding early signs of cognitive decline and potential dementia prevention.
By combining spectral and multivariate EEG features, the AI tool shows promising accuracy in predicting future cognitive issues based on sleep data.