Researchers at Mass General Brigham have developed an artificial intelligence (AI) tool capable of predicting cognitive decline years before symptoms manifest by analyzing brain wave patterns during sleep. Utilizing electroencephalography (EEG) data, the AI detects subtle changes, particularly in gamma band frequencies during deep sleep, associated with future cognitive impairment. In a study involving women aged 65 and older, the tool accurately identified 85% of individuals who later developed cognitive impairment, with an overall accuracy of 77%.
This early detection offers a critical window for intervention, allowing individuals to implement lifestyle changes and potentially benefit from early-stage therapies. The research team is also exploring whether electrical stimulation can modify EEG patterns to reduce the risk of cognitive decline.
The findings suggest that wearable EEG devices could become valuable tools in predicting cognitive decline, enabling proactive measures to maintain cognitive health. Further research is necessary to validate these findings across more diverse populations and to confirm the link between altered gamma wave activity during deep sleep and future cognitive impairment. nypost.com+2medicalxpress.com+2massgeneralbrigham.org+2
Advancements in AI Tools for Early Detection of Cognitive Decline
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