Ad ID: 5858
Added: June 20, 2019
Sleep history predicts late-life Alzheimer
Sleep patterns can predict the accumulation of Alzheimer’s pathology proteins later in life, according to a new study of older men and women published in JNeurosci. These findings could lead to new sleep-based early diagnosis and prevention measures in the treatment of Alzheimer’s disease.
Alzheimer’s disease is associated with disrupted sleep and the accumulation of tau and proteins in the brain, which can emerge long before characteristic memory impairments appear. Two types of hippocampal sleep waves, slow oscillations and sleep spindles, are synced in young individuals, but have been shown to become uncoordinated in old age.
Matthew Walker, Joseph Winer, and colleagues at the University of California, Berkeley found a decrease in slow oscillations/sleep spindle synchronization was associated with higher tau, while reduced slow-wave-activity amplitude was associated with higher ?-amyloid levels.
The researchers also found that a decrease in sleep quantity throughout aging, from the 50s through 70s, was associated with higher levels of ?-amyloid and tau later in life. This means that changes in brain activity during sleep and sleep quantity during these time frames could serve as a warning sign for Alzheimer’s disease, allowing for early preventive care.
Materials provided by Society for Neuroscience. Note: Content may be edited for style and length.
The purpose of our website is only to help students to assist, guide and aware them regarding material available. Moreover, it is necessary for you to take the permission if you want to reproduce or commercial purpose.
*All the rights reserved by Developer and Translator.
Help Us Improve This Article
Did you find an inaccuracy? We work hard to provide accurate and scientifically reliable information. If you have found an error of any kind, please let us know.
Add comment. we appropriate your effort.
Share with Us
If you have any scale or any material related to psychology kindly share with us on firstname.lastname@example.org. We help others on behalf of you.