Delta wave activity disruption during sleep may be a useful metric to identify those at an increased risk for cardiovascular disease and cardiovascular mortality. An international team of researchers ...

A machine-learning analysis of brain waves recorded during sleep may help identify people at high risk of developing dementia, according to a study led by UC San Francisco and Beth Israel Deaconess ...

The finding was a result of a study that drew on data from roughly 7,000 participants aged 40 to 94, none of whom had dementia at the beginning of the study.

Adults with combined-type ADHD show distinct patterns of sleep-like slow-wave brain activity while fully awake, and those patterns track with attention failures and cognitive dysfunction. The finding ...

A machine-learning study finds that "brain age" calculated from sleep EEG waves can predict dementia risk, with a 10-year age gap increasing risk by 40%.

Scientists pinpoint the molecular epicenter of deep-sleep regulation. The findings, based on research in mice, identify a gene that makes a protein that regulates delta waves -- electrical signals ...