New Mexico Patent of the Month – September 2024
NeuroGeneces has developed an advanced system that uses brain activity data recorded during sleep to detect signs of neurodegeneration, potentially enabling earlier intervention in conditions like Alzheimer’s, Parkinson’s, and Huntington’s disease. This cutting-edge technology goes beyond traditional methods, which rely on costly MRI scans or invasive polysomnography, by offering a more accessible, non-invasive alternative for continuous brain monitoring.
The system works by capturing physiological measures—such as EEG signals, heart rate, and blood oxygen levels—while the subject sleeps. These measures are then processed alongside demographic data, including age, to generate key sleep-structure features. These features help create a personalized brain health metric by comparing the subject’s brain function to their chronological age. When discrepancies arise, particularly if brain function appears older than expected, it may indicate the early onset of neurodegeneration.
What sets this technology apart is its ability to monitor brain health over multiple nights, providing a comprehensive view of sleep patterns and brain function. By identifying deviations in sleep architecture—such as changes in deep sleep, known for its role in memory consolidation and metabolic cleanup—the system can offer early warnings of brain decline. It also leverages sophisticated machine learning models to refine these predictions, delivering a highly accurate assessment of brain aging.
This innovation by NeuroGeneces has the potential to revolutionize how we monitor and manage brain health, offering hope for early detection and intervention in neurodegenerative diseases. With continuous monitoring, individuals can track their brain function over time, allowing for earlier, more effective treatments that could slow or even prevent cognitive decline.
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