Study Reveals Sleep-Wake Continuum in Patients with Insomnia Disorder

Multimodal assessment of sleep-wake perception in insomnia disorder

Insomnia disorder is a prevalent health problem. The primary diagnostic criterion is a subjective complaint about reduced quantity or quality of sleep, which is often not observed in objective sleep measurements. Here we show that patients with insomnia disorder, characterized by substantial subjective sleep complaints, did not differ on objective measures of sleep continuity, sleep architecture, spectral power, spectral slope, and phase-amplitu…

Perception of being awake during sleep linked to normal brain activity, not just insomnia

Although sleep is essential for healthy functioning, insomnia disorder is prevalent, affecting about 5% to 10% of the adult population. The primary issue is a subjective complaint of reduced quantity or quality of sleep, which is often not observed in objective sleep measurements.

Study reveals sleep-wake continuum in patients with insomnia disorder

Sleep is essential for healthy functioning. Insomnia disorder is prevalent, affecting around 5 to 10% of the adult population.

Sleep-Wake Perception Intact in Many With Insomnia

A new study finds that patients with insomnia often retain accurate sleep-wake perception and intact regulatory systems, despite feeling as though they sleep poorly. Using serial awakenings during sleep lab monitoring, researchers found no significant difference in sleep perception between healthy individuals and those with insomnia.

Looking at the Future of Insomnia Management

A panelist discusses how dual orexin receptor antagonists (DORAs), particularly daridorexant, are poised to become a first-line treatment for chronic insomnia, especially for elderly patients, due to their safety, tolerability, and lack of withdrawal symptoms, while highlighting the importance of patient education and regular follow-up for optimal results.

A Unified Flexible Large Polysomnography Model for Sleep Staging and Mental Disorder Diagnosis

Sleep disorders affect billions worldwide, yet clinical polysomnography (PSG) analysis remains hindered by labor-intensive manual scoring and limited generalizability of automated sleep staging tools across heterogeneous protocols. We present LPSGM, a large-scale PSG model designed to address ...