Clusters of Insomnia Disorder: An Exploratory Cluster Analysis of Objective Sleep Parameters Reveals Differences in Neurocognitive Functioning, Quantitative EEG, and Heart Rate Variability | Zendy

Christopher B. Miller | Zendy; Delwyn J. Bartlett | Zendy; Anna Mullins | Zendy; Kirsty L. Dodds | Zendy; Christopher J. Gordon | Zendy; Simon D. Kyle | Zendy; Jong Won Kim | Zendy; A D’Rozario | Zendy; Rico S. C. Lee | Zendy; Maria Comas | Zendy; Nathaniel S. Marshall | Zendy; Brendon J. Yee | Zendy; Colin A. Espie | Zendy; Ronald R. Grunstein | Zendy

Open Access

Clusters of Insomnia Disorder: An Exploratory Cluster Analysis of Objective Sleep Parameters Reveals Differences in Neurocognitive Functioning, Quantitative EEG, and Heart Rate Variability

Author(s) -

Christopher B. Miller,

Delwyn J. Bartlett,

Anna Mullins,

Kirsty L. Dodds,

Christopher J. Gordon,

Simon D. Kyle,

Jong Won Kim,

A D’Rozario,

Rico S. C. Lee,

Maria Comas,

Nathaniel S. Marshall,

Brendon J. Yee,

Colin A. Espie,

Ronald R. Grunstein

Publication year - 2016

Publication title -

sleep

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.222

H-Index - 207

eISSN - 1550-9109

pISSN - 0161-8105

DOI - 10.5665/sleep.6230

Subject(s) - sleep onset , polysomnography , neurocognitive , insomnia , sleep onset latency , psychology , electroencephalography , primary insomnia , slow wave sleep , sleep (system call) , sleep stages , heart rate variability , audiology , sleep disorder , heart rate , medicine , psychiatry , cognition , computer science , blood pressure , operating system

To empirically derive and evaluate potential clusters of Insomnia Disorder through cluster analysis from polysomnography (PSG). We hypothesized that clusters would differ on neurocognitive performance, sleep-onset measures of quantitative ( q )-EEG and heart rate variability (HRV).

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