 from the headband to detect brain wave patterns related to memory reactivation in sleep. Their results identify a relationship between EEG readings and levels of specific molecular changes indicative of pre-symptomatic Alzheimer's disease. For all the latest on news, politics, sports, and showbiz from the USA, go to The Mirror US. The findings further demonstrate that early stages of mild cognitive impairment due to Alzheimer's disease can be detected in the EEG signals. Dr Brice McConnell, assistant professor of neurology at the University of Colorado School of Medicine and study senior author said: 'This digital biomarker essentially enables any simple EEG headband device to be used as a fitness tracker for brain health. 'Demonstrating how we can assess digital biomarkers for early indications of disease using accessible and scalable headband devices in a home setting is a huge advancement in catching and mitigating Alzheimer's disease at the earliest stages.' Researchers analysed data from 205 ageing adults, identifying measurable problems with memory reactivation in association with levels of proteins such as amyloid and tau that build up in Alzheimer's Disease. Dr McConnell said: 'What we found is these abnormal levels of){kind=link}
Over one in 10 adults in the United States over the age of 65 have dementia and one in three seniors dies with Alzheimer’s or another form of the brain destroying illness
A headband that can detect early signs of Alzheimer’s disease whilst you sleep has been developed by scientists.
The device monitors brainwaves and can flag up signs of the disease years before a diagnosis. Described as a fitness tracker for the brain, it can pick up the earliest stages of the disease before any symptoms are present.
The study from researchers at University of Colorado Anschutz Medical Campus and Washington University in St. Louis and published in the journal Alzheimer’s & Dementia is the largest of its kind to date.
The team used electroencephalography (EEG) from the headband to detect brain wave patterns related to memory reactivation in sleep. Their results identify a relationship between EEG readings and levels of specific molecular changes indicative of pre-symptomatic Alzheimer’s disease.