SLEEP ASSESSMENTS AS PREDICTORS OF HEALTH RISK AND DEPRESSION

Sleep symptoms and comorbidities, including insomnia, hypersomnia and parasomnias are strongly correlated with depression and anxiety. Genetic studies support bilateral causality. Managing sleep symptoms using pharmacology or behavioral therapy improves therapeutic response for depression. Objective sleep assessment through sleep studies or wearables, with the assistance of deep learning, has been shown to predict various health outcomes, medical and psychiatric. Some studies even suggest these could have a role as biomarkers of treatment response. Yet studies done to date have not used large sample sizes or taken advantage of the most recent deep learning algorithms or nascent wearable EEG technology. We will review the area and propose a road map for this rapidly evolving area.

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