Sleep Stage Transition Dynamics Reveal Specific Stage 2 Vulnerability in Insomnia

  • Yishul Wei
  • , Michele A Colombo
  • , Jennifer R Ramautar
  • , Tessa F Blanken
  • , Ysbrand D van der Werf
  • , Kai Spiegelhalder
  • , Bernd Feige
  • , Dieter Riemann
  • , Eus J W Van Someren

Research output: Contribution to JournalArticleAcademicpeer-review

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Abstract

Study Objectives: Objective sleep impairments in insomnia disorder (ID) are insufficiently understood. The present study evaluated whether whole-night sleep stage dynamics derived from polysomnography (PSG) differ between people with ID and matched controls and whether sleep stage dynamic features discriminate them better than conventional sleep parameters.

Methods: Eighty-eight participants aged 21-70 years, including 46 with ID and 42 age- and sex-matched controls without sleep complaints, were recruited through www.sleepregistry.nl and completed two nights of laboratory PSG. Data of 100 people with ID and 100 age- and sex-matched controls from a previously reported study were used to validate the generalizability of findings. The second night was used to obtain, in addition to conventional sleep parameters, probabilities of transitions between stages and bout duration distributions of each stage. Group differences were evaluated with nonparametric tests.

Results: People with ID showed higher empirical probabilities to transition from stage N2 to the lighter sleep stage N1 or wakefulness and a faster decaying stage N2 bout survival function. The increased transition probability from stage N2 to stage N1 discriminated people with ID better than any of their deviations in conventional sleep parameters, including less total sleep time, less sleep efficiency, more stage N1, and more wake after sleep onset. Moreover, adding this transition probability significantly improved the discriminating power of a multiple logistic regression model based on conventional sleep parameters.

Conclusions: Quantification of sleep stage dynamics revealed a particular vulnerability of stage N2 in insomnia. The feature characterizes insomnia better than-and independently of-any conventional sleep parameter.

Original languageEnglish
Article numberzsx117
Pages (from-to)1-10
Number of pages10
JournalSLEEP
Volume40
Issue number9
Early online date5 Jul 2017
DOIs
Publication statusPublished - Sept 2017

Funding

This was not an industry supported study. Research leading to these results has received funding from the Bial Foundation grant 252/12, the Netherlands Organization of Scientific Research (NWO) grant VICI-453.07.001, and the European Research Council Advanced Grant 671084 INSOMNIA. This project has been funded with support from the European Commission. This publication reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein. The authors report no biomedical financial interests or potential conflicts of interest.

FundersFunder number
Netherlands Organization of Scientific Research
European Commission
European Research Council671084
Nederlandse Organisatie voor Wetenschappelijk OnderzoekVICI-453.07.001
Fundação Bial252/12

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 16 - Peace, Justice and Strong Institutions
      SDG 16 Peace, Justice and Strong Institutions

    Keywords

    • Journal Article

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