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EEG as an Alzheimer's Diagnostic

A new report published in the Journal of Alzheimer’s Disease has found that EEG data can detect cognitive decline “five years before a diagnosis.”



The details

Mild Cognitive Impairment (MCI) is a result of well-known diseases like Alzheimer’s and Parkinson’s where nerve cells in the brain and nervous system lose function and ultimately die. With these diseases, diagnosing as early as possible can have huge impacts on a patient’s quality of life. The difficulty, of course, is catching the disease early enough to meaningfully alter the course of care. In a groundbreaking article published in the Journal of Alzheimer’s Disease, a team of researchers found that EEG signatures can diagnose signs of cognitive impairment an average of five years before diagnosis that use today’s standard behavioral testing, making it a “non-invasive and reliable predictor of cognitive decline.” The study concludes that EEG has “great potential to be used repeatedly for individualized prognosis of MCI risk and progression before clinical diagnosis.”


What this means

At Epitel, we know the EEG is an incredibly powerful tool to diagnose neurological disorders in novel ways. While capable, standard machines are rarely practical due to fragility, immobility, and the need for specialized technicians. At Epitel, we’re building the most advanced EEG AI platform on the back of our wearable sensor - Epilog. Talk to us about how we’re putting EEG into everybody’s hands!

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