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Treating sleep apnea with CPAP therapy is associated with lower risk of heart problems

Findings from a recent study show that patients with untreated, moderate to severe obstructive sleep apnea had a higher risk of experiencing a cardiovascular event, but the risk of incident heart problems was decreased in those who used CPAP therapy. ....

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Like night and day: Animal studies may not translate to humans without time considerations

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IMAGE: In a recent survey of published animal studies, Randy Nelson chair of the WVU Department of Neuroscience and director of basic science research for the Rockefeller Neuroscience Institute .
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Credit: WVU Photo/Jennifer Shephard
MORGANTOWN, W.Va. Imagine being woken up at 3 a.m. to navigate a corn maze, memorize 20 items on a shopping list or pass your driver s test.
According to a new analysis out of West Virginia University, that s often what it s like to be a rodent in a biomedical study. Mice and rats, which make up the vast majority of animal models, are nocturnal. Yet a survey of animal studies across eight behavioral neuroscience domains showed that most behavioral testing is conducted during the day, when the rodents would normally be at rest. ....

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Sleep societies announce inaugural Diversity, Equity and Inclusion Leadership Award

Sleep medicine physician and sleep researcher Dr. Charlene Gamaldo of Johns Hopkins Medicine is the recipient of the inaugural Diversity, Equity and Inclusion Leadership Award from the Associated Professional Sleep Societies, LLC, a joint initiative of the American Academy of Sleep Medicine and the Sleep Research Society. ....

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Sleep Number presents new data from its 360® Smart Beds at SLEEP 2021 Annual Meeting

Real-world data from Sleep Number® smart bed sleepers shows a potential model for predicting and tracking COVID-19 infection using sleep and biometric measures. Analysis of 18.2 million 360 smart bed sleep sessions finds heart rate variability differs with age, gender and day of the week. ....

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Artificial intelligence predicts brain age from EEG signals recorded during sleep studies

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DARIEN, IL - A study shows that a deep neural network model can accurately predict the brain age of healthy patients based on electroencephalogram data recorded during an overnight sleep study, and EEG-predicted brain age indices display unique characteristics within populations with different diseases.
The study found that the model predicted age with a mean absolute error of only 4.6 years. There was a statistically significant relationship between the Absolute Brain Age Index and: epilepsy and seizure disorders, stroke, elevated markers of sleep-disordered breathing (i.e., apnea-hypopnea index and arousal index), and low sleep efficiency. The study also found that patients with diabetes, depression, severe excessive daytime sleepiness, hypertension, and/or memory and concentration problems showed, on average, an elevated Brain Age Index compared with the healthy population sample. ....

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