A new study on sleep patterns has revealed a potential key that helps researchers understand how the brain ages.

New research is shedding light on how sleep-like brain activity may contribute to attention difficulties in adults with attention-deficit/hyperactivity disorder (ADHD), compared to neurotypical ...

A machine-learning analysis of brain waves recorded during sleep may help identify people at high risk of developing dementia ...

Findings from Mass General Brigham investigators highlight the intricate interplay of diverse physiological processes as the brain shifts from wakefulness to sleep. A new study by investigators from ...

A machine-learning analysis of brain waves recorded during sleep may help identify people at high risk of developing dementia ...

Researchers report distinct brain activity patterns between adults with ADHD and neurotypical peers during inhibitory control ...

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

Researchers at the University of California, San Francisco have found that machine-learning analysis of brain waves recorded during sleep can identify women at risk of cognitive decline up to five ...

Adults with ADHD experience more frequent "sleep-like" brain activity while awake, driving lapses in attention and task ...

Researchers have identified a surprising brain pattern that may help explain why people with ADHD often struggle to stay focused. Even while awake, their brains can slip into brief episodes of ...

Adults with ADHD may experience more bursts of sleep-like brain activity even while awake, causing brief lapses in attention. These micro “rest moments” in the brain could help explain why tasks ...

Many sleep researchers avoid sampling dreams in their studies, perhaps because dreams can be difficult to record, quantify, and analyze. Instead, sleep research tends to focus on more tangible ...