Comparative analysis of sleep physiology using qualitative and quantitative criteria for insomnia symptoms

Despite decades of research, defining insomnia remains challenging due to its complex and variable nature. Various diagnostic systems emphasize the chronic nature of insomnia and its impact on daily functioning, relying heavily on patient self-reporting due to limitations in objective measures such as polysomnography (PSG). Discrepancies between subjective experiences and objective PSG results highlight the need for more nuanced approaches, such as electroencephalogram (EEG) spectral analysis, which reveals distinct patterns of high-frequency activity in individuals with insomnia. This study explores EEG markers of insomnia by integrating subjective reports with objective physiological markers, specifically ORP (Odds-Ratio-Product) and spectral features, to address inconsistencies found in previous research and clinical settings. Qualitative and quantitative definitions of insomnia are contrasted to highlight differences in sleep architecture and EEG characteristics. The research aims to determine whether groups defined by weekly frequency and daily duration of symptoms have different distribution patterns and which physiological characteristics best distinguish insomnia patients from controls. Our findings suggest that ORP, as a dependent variable, captures the most significant differences in the independent variables across the model. Elevated beta power in insomnia patients indicates increased cortical arousal, supporting the perspective of insomnia as a hyperarousal disorder. Future research should focus on using ORP to enhance the understanding of sleep disturbances in insomnia. Comprehensive evaluation of insomnia requires integrating qualitative, quantitative, and neurophysiological data to fully understand its impact on sleep architecture and quality.

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Publication Details

Journal
SLEEP
Published
2024-12-23
DOI
https://doi.org/10.1093/sleep/zsae301
Citations
3
Primary Topic
Sleep and related disorders
Type
article
Field-Weighted Citation Impact
1.52

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article

Comparative analysis of sleep physiology using qualitative and quantitative criteria for insomnia symptoms

Þórarinn Gíslason, Ning‐Hung Chen, Sérgio Tufik, Nigel McArdle et al.
3 citations
SLEEP
Sleep and related disorders
1.52
article

Comparative analysis of sleep physiology using qualitative and quantitative criteria for insomnia symptoms

Þórarinn Gíslason, Ning‐Hung Chen, Sérgio Tufik, Nigel McArdle, Olivia Larson, Richard J. Schwab, Brendan T Keenan, Ulysses J. Magalang, Greg Maislin, Kibum Moon, Qing Yun Li, Thomas Penzel, Allan I Pack, Philip Gehrman, Sammy Dhaliwal, Peter A. Cistulli, Philip de Chazal, Bethany Gerardy, Fang Han, Bhajan Singh, Magdy Younes, Rachel Siying Lee
article en
3 citations

Abstract

Despite decades of research, defining insomnia remains challenging due to its complex and variable nature. Various diagnostic systems emphasize the chronic nature of insomnia and its impact on daily functioning, relying heavily on patient self-reporting due to limitations in objective measures such as polysomnography (PSG). Discrepancies between subjective experiences and objective PSG results highlight the need for more nuanced approaches, such as electroencephalogram (EEG) spectral analysis, which reveals distinct patterns of high-frequency activity in individuals with insomnia. This study explores EEG markers of insomnia by integrating subjective reports with objective physiological markers, specifically ORP (Odds-Ratio-Product) and spectral features, to address inconsistencies found in previous research and clinical settings. Qualitative and quantitative definitions of insomnia are contrasted to highlight differences in sleep architecture and EEG characteristics. The research aims to determine whether groups defined by weekly frequency and daily duration of symptoms have different distribution patterns and which physiological characteristics best distinguish insomnia patients from controls. Our findings suggest that ORP, as a dependent variable, captures the most significant differences in the independent variables across the model. Elevated beta power in insomnia patients indicates increased cortical arousal, supporting the perspective of insomnia as a hyperarousal disorder. Future research should focus on using ORP to enhance the understanding of sleep disturbances in insomnia. Comprehensive evaluation of insomnia requires integrating qualitative, quantitative, and neurophysiological data to fully understand its impact on sleep architecture and quality.

SLEEPVol. 48(3)
The University of Sydney (AU), University of Iceland (IS), Georgetown University (US), Peking University (CN), Royal North Shore Hospital (AU), Research Manitoba (CA), Sir Charles Gairdner Hospital (AU), The Ohio State University Wexner Medical Center (US), Chang Gung Memorial Hospital (TW), Taoyuan Chang Gung Memorial Hospital (TW), National University Hospital of Iceland (IS), Peking University People's Hospital (CN), Philadelphia VA Medical Center (US), Manitoba Beekeepers' Association (CA), West Australian Sleep Disorders Research Institute (AU), University of Manitoba (CA), Charité - Universitätsmedizin Berlin (DE), University of Pennsylvania (US), Universidade Federal de São Paulo (BR)
National Institutes of Health, National Heart, Lung, and Blood Institute, National Institute of Nursing Research
Good health and well-being
Openalex Percentile: Top 15%
Sleep and related disorders
1.52
DOIOpen Access PDFOpenAlex
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