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<p><b>Objective.</b> To evaluate the stability of the spectral characteristics of the electroencephalogram (EEG) of daytime sleep during moderate deprivation of nocturnal sleep. <b>Materials and methods.</b> The study involved 44 students without sleep disorders. The participants limited their nocturnal sleep to 5 h the day before the experiment, after which polysomnograms of 90-min daytime sleep were recorded in three repeat sessions. The records captured were staged visually by experts. Spectral analysis of rhythm power in the δ, θ, α, and σ ranges and averaging for sleep stages N1, N2, and N3 were performed for each record. Stability was assessed using the intragroup correlation coefficient (ICC). <b>Results.</b> Stage N1 showed moderate individual stability (ICC 0.42–0.52) for the powers of all rhythms, except for the σ rhythm (ICC = 0.68). In N2, stability increased: σ rhythm power reached ICC = 0.91 and values for the θ and α rhythms reached 0.7–0.72. In N3, δ and θ rhythm powers demonstrated high stability (ICC = 0.92–0.95). The σ rhythm in stage N3 was less stable. These results are consistent with those obtained for nocturnal sleep: the σ and δ rhythms were highly stable. The σ rhythm (associated with sleep spindles) was most stable in N2, while δ and θ activity was most stable in N3. This confirms that daytime sleep, despite external influences, maintains individual neurophysiological patterns unaltered. <b>Conclusions.</b> Daytime sleep demonstrated significant stability of EEG spectral characteristics, especially in the deeper stages. Single EEG recordings can be used to assess individual sleep patterns, which is important for the development of personalized approaches to correcting the effects of sleep deprivation.</p>

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High Individual Stability of Daytime Sleep EEG Characteristics in Conditions of Nocturnal Sleep Restriction

  • 期刊论文

  • 发表日期：

    2025年10月1日

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  • A. N. Puchkova,
  • O. N. Tkachenko,
  • E. O. Gandina,
  • D. E. Shumov

摘要

Objective. To evaluate the stability of the spectral characteristics of the electroencephalogram (EEG) of daytime sleep during moderate deprivation of nocturnal sleep. Materials and methods. The study involved 44 students without sleep disorders. The participants limited their nocturnal sleep to 5 h the day before the experiment, after which polysomnograms of 90-min daytime sleep were recorded in three repeat sessions. The records captured were staged visually by experts. Spectral analysis of rhythm power in the δ, θ, α, and σ ranges and averaging for sleep stages N1, N2, and N3 were performed for each record. Stability was assessed using the intragroup correlation coefficient (ICC). Results. Stage N1 showed moderate individual stability (ICC 0.42–0.52) for the powers of all rhythms, except for the σ rhythm (ICC = 0.68). In N2, stability increased: σ rhythm power reached ICC = 0.91 and values for the θ and α rhythms reached 0.7–0.72. In N3, δ and θ rhythm powers demonstrated high stability (ICC = 0.92–0.95). The σ rhythm in stage N3 was less stable. These results are consistent with those obtained for nocturnal sleep: the σ and δ rhythms were highly stable. The σ rhythm (associated with sleep spindles) was most stable in N2, while δ and θ activity was most stable in N3. This confirms that daytime sleep, despite external influences, maintains individual neurophysiological patterns unaltered. Conclusions. Daytime sleep demonstrated significant stability of EEG spectral characteristics, especially in the deeper stages. Single EEG recordings can be used to assess individual sleep patterns, which is important for the development of personalized approaches to correcting the effects of sleep deprivation.