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Research establishes a new method to predict individual risk of cognitive decline


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The early prognosis of high-risk older adults for amnestic mild cognitive impairment (aMCI), using noninvasive and sensitive neuromarkers, is key for early prevention of Alzheimer s disease. A recent study, published in the
Journal of Alzheimer s Disease, by researchers at the University of Kentucky establishes what they believe is a new way to predict the risk years before a clinical diagnosis. Their work shows that direct measures of brain signatures during mental activity are more sensitive and accurate predictors of memory decline than current standard behavioral testing.
Many studies have measured electrophysiological rhythms during resting and sleep to predict Alzheimer s risk. This study demonstrates that better predictions of a person s cognitive risk can be made when the brain is challenged with a task. Additionally, we learned that out of thousands of possible brain oscillation measures, left-frontal brainwaves during so-called working memory task ....

United Kingdom , Charles Smith , William Markesbery , Erin Abner , Linda Van Eldik , David Wekstein , Fred Schmitt , Richard Kryscio , Greg Jicha , United Kingdom Sanders Brown Center On , Department Of Energy , National Institutes Of Health , Institute Of Psychology , University Of Tennessee , Oak Ridge National Laboratory , Sanders Brown Center On , University Of Kentucky , Sanders Brown Center , Nancy Munro , Van Eldik , National Institute , National Institutes , Award Number , Oak Ridge National , Medicine Health , Alzheimers Disease ,

A new method to predict individual risk of cognitive decline


A new method to predict individual risk of cognitive decline
ANI |
Updated: Feb 05, 2021 16:01 IST
Washington [US], February 5 (ANI): The early prognosis of high-risk older adults for amnestic mild cognitive impairment (aMCI), using non-invasive and sensitive neuro markers, is key for early prevention of Alzheimer s disease, suggested the findings of a new study.
The study, published in the Journal of Alzheimer s Disease, by researchers at the University of Kentucky establishes what they believe is a new way to predict the risk years before a clinical diagnosis. Their work shows that direct measures of brain signatures during mental activity are more sensitive and accurate predictors of memory decline than current standard behavioural testing. ....

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