ArticleCommunications biology2025
A continuous approach to explain insomnia and subjective-objective sleep discrepancy.
Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Epigenetic Insights and Exosome-Based Therapeutics for Insomnia: Bridging Sleep Biology and Precision Medicine.Molecular neurobiology · 2026Review
- Impaired sleep resilience underlies transient neural instability in insomnia disorder.iScience · 2026Article
- Pharmacological modulation of hyperarousal in insomnia associated with major depressive disorder: a narrative review of sedating antidepressants and orexin receptor antagonists.Frontiers in psychiatry · 2026Review
- Polysomnography in Transition: Reassessing Its Role in the Future of Sleep Medicine.Journal of sleep research · 2025Review
- Analyzing Sleep Behavior Using BERT-BiLSTM and Fine-Tuned GPT-2 Sentiment Classification: Comparison Study.JMIR medical informatics · 2025Article
- Sleep Trajectories in Amnestic and Non-Amnestic MCI: Longitudinal Insights from Subjective and Objective Assessments.Diagnostics (Basel, Switzerland) · 2025Article
- Sleep State Misperception in Insomnia: The Role of Sleep Instability and Emotional Dysregulation.Brain sciences · 2025Article
- The impact of physical activity on sleep architecture and cognitive function among college students.Frontiers in psychiatry · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Understanding insomnia is crucial for improving its diagnosis and treatment. However, many subjective complaints about insomnia do not align with objective measures of sleep quality, as is the case in subjective-objective sleep discrepancy (SOSD). We address this discrepancy by measuring sleep intrusions and instability in polysomnographic recordings from a large clinical database. Using machine learning, we develop personalized models to infer hypnodensities-a continuous and probabilistic measure of sleep dynamics-, and analyze them via information theory to measure intrusions and instability in a principled way. We find that insomnia with SOSD involves sleep intrusions during intra-sleep wakefulness, while insomnia without SOSD shows wake intrusions during sleep, indicating distinct etiologies. By mapping these metrics to standard sleep features, we provide a continuous and interpretable framework for measuring sleep quality. This approach integrates and values subjective insomnia complaints with physiological data for a more accurate view of sleep quality and its disorders.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.