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Breakthrough AI system detects early signs of memory loss during sleep

  • 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.

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