A continuous approach to explain insomnia and subjective-objective sleep discrepancy

被引：0
作者：
Rubén Herzog [1 ]
Flynn Crosbie [2 ]
Anis Aloulou [2 ]
Umaer Hanif [3 ]
Mounir Chennaoui [2 ]
Damien Léger [2 ]
Thomas Andrillon [4 ]
机构：
[1] Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Paris
[2] Université Paris Cité, VIFASOM (Vigilance Fatigue Sommeil et Santé publique), Paris
[3] APHP, Hôtel-Dieu, Centre du sommeil et de la Vigilance, Paris
[4] Institut de recherche biomédicale des armées (IRBA), Brétigny-sur-Orge, Paris
[5] Monash Centre for Consciousness & Contemplative Studies, Monash University, Melbourne
来源：
Communications Biology | / 8卷 / 1期
基金：
欧洲研究理事会;
关键词：
D O I：
10.1038/s42003-025-07794-6
中图分类号：
学科分类号：
摘要：
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. © The Author(s) 2025.
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