Modeling Napping, Post-Lunch Dip, and Other Variations in Human Sleep Propensity

Bes, Frédérik; Jobert, Marc; Schulz, Hartmut

doi:10.1093/sleep/32.3.392

Cited by 48 publications

(41 citation statements)

References 40 publications

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“…Lavie P. and Dement W.C. showed that insufficient sleep increases daytime sleepiness 8,33) . In addition, Bes F. et al reported that sleep propensity increases slightly and reaches its highest value in the early afternoon, at 2 P.M 34) . We suggest that daytime sleepiness at 2 P.M is the outcome most susceptible to improvement of night sleep.…”

Section: Discussionmentioning

confidence: 98%

Effect of Brief Sleep Hygiene Education for Workers of an Information Technology Company

et al. 2010

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Section: Discussionmentioning

confidence: 98%

Effect of Brief Sleep Hygiene Education for Workers of an Information Technology Company

et al. 2010

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“…93 Participants can also be questioned about their levels of tiredness and quality of sleep the preceding evening to gain some information regarding the potential presence of sleep deprivation effects.…”

Section: Sleepmentioning

confidence: 99%

Overview of potential procedural and participant- related confounds for neuroimaging of the resting state

Duncan

Northoff

2013

J Psychiatry Neurosci

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“…An explicit non-linear approach has been proposed with a multiplicative interaction, which successfully models the four main characteristics of sleep propensity across 24 h [276]. …”

Section: Pharmaco-sleep Study-related Topicsmentioning

confidence: 99%

Guidelines for the Recording and Evaluation of Pharmaco-Sleep Studies in Man: The International Pharmaco-EEG Society (IPEG)

Jobert¹,

Wilson

Roth

et al. 2013

Neuropsychobiology

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The International Pharmaco-EEG Society (IPEG) presents guidelines summarising the requirements for the recording and computerised evaluation of pharmaco-sleep data in man. Over the past years, technical and data-processing methods have advanced steadily, thus enhancing data quality and expanding the palette of sleep assessment tools that can be used to investigate the activity of drugs on the central nervous system (CNS), determine the time course of effects and pharmacodynamic properties of novel therapeutics, hence enabling the study of the pharmacokinetic/pharmacodynamic relationship, and evaluate the CNS penetration or toxicity of compounds. However, despite the presence of robust guidelines on the scoring of polysomnography -recordings, a review of the literature reveals inconsistent -aspects in the operating procedures from one study to another. While this fact does not invalidate results, the lack of standardisation constitutes a regrettable shortcoming, especially in the context of drug development programmes. The present guidelines are intended to assist investigators, who are using pharmaco-sleep measures in clinical research, in an effort to provide clear and concise recommendations and thereby to standardise methodology and facilitate comparability of data across laboratories.

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Modeling Napping, Post-Lunch Dip, and Other Variations in Human Sleep Propensity

Abstract: SP can be modeled as a continuous variable, based on the multiplicative interaction of 2 basic sleep drives. The model predictions are in agreement with known variations of SP across 24 hours.

Cited by 48 publications

References 40 publications

Effect of Brief Sleep Hygiene Education for Workers of an Information Technology Company

Effect of Brief Sleep Hygiene Education for Workers of an Information Technology Company

Overview of potential procedural and participant- related confounds for neuroimaging of the resting state

Guidelines for the Recording and Evaluation of Pharmaco-Sleep Studies in Man: The International Pharmaco-EEG Society (IPEG)

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