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Updated: Jun 12, 2025

Measuring Neural Mechanisms Underlying Sleep-Dependent Memory Consolidation During Naps in Early Childhood
Published on: October 2, 2019
Investigation of macro and micro sleep structures of first night effect in school-aged children
Minori Enomoto1,2, Taisuke Eto2,3, Shingo Kitamura2
1Department of Medical Technology, School of Health Sciences, Tokyo University of Technology, 5-23-22, Nishikamata, Ohta-Ku, Tokyo, 144-8535 Japan.
Insights
The first night effect (FNE) impacts sleep architecture in children, with changes in sleep stages like N3 and N2 varying by age. Understanding these age-related sleep changes is crucial for interpreting pediatric polysomnography (PSG) data.
Area of Science:
- Pediatric Sleep Medicine
- Neuroscience
- Developmental Psychology
Background:
- The first night effect (FNE) is a phenomenon where sleep quality and architecture are altered on the first night of polysomnography (PSG) recording compared to subsequent nights.
- While FNE is well-documented in adults, its occurrence and age-related modifications in school-age children require further investigation.
- Understanding FNE in pediatric populations is essential for accurate interpretation of sleep studies.
Purpose of the Study:
- To investigate the presence and age-specific alterations of the first night effect (FNE) in school-age children.
- To analyze both macro (sleep architecture) and micro (frequency analysis) sleep parameters affected by FNE.
- To examine the relationship between chronological age and FNE-related changes in sleep variables and spectral power.
Main Methods:
- Acquisition of polysomnography (PSG) data from 38 healthy children aged 6-15 years over two consecutive nights.
- Comparison of key sleep variables (e.g., total sleep time, sleep efficiency, sleep stages) and spectral power analysis between the first and second nights.
- Correlation analysis to assess the relationship between age and the magnitude of FNE-induced changes.
Main Results:
- Significant FNE-related reductions in total sleep time, sleep efficiency, N1, N2, and REM sleep, alongside increases in sleep onset latency and wake after sleep onset were observed.
- The decrease in N3 sleep and increase in N2 sleep due to FNE showed a positive and negative correlation with age, respectively.
- Spectral analysis revealed no significant FNE effect for most variables, but a trend towards increased delta band convergence with age was noted.
Conclusions:
- The first night effect (FNE) is present in school-age children and exhibits age-dependent characteristics.
- Age influences the manifestation of FNE, with decreases in N3 and increases in N2 becoming more pronounced in older children.
- Low-frequency power enhancement during FNE appears consistent across different ages, suggesting a stable physiological response.
- These findings emphasize the need to consider age-specific sleep patterns and utilize multi-level analytical approaches for accurate pediatric PSG interpretation.
Abstract:
This study aimed to investigate the occurrence and age-related changes of the first night effect (FNE) in school-age children using both macro (sleep architecture) and micro (frequency analysis) structures to polysomnography (PSG) data. PSG data from two consecutive nights were obtained from 38 healthy children aged 6-15 years. Sleep variables and power spectral analysis were compared between the two nights. The relationship between age and the difference in sleep variables and power values between the two nights was examined using correlation analysis. The first night showed significant reductions in total sleep time, sleep efficiency, N1, N2, and REM sleep, as well as significant increases in sleep onset latency and wake after sleep onset. The decrease in N3 and the increase in N2 due to FNE were positively and negatively correlated with age, respectively. Spectral analysis showed no effect of FNE for most variables, but there was a trend toward an increase in the convergence value of the δ band with age. FNE occurs in school-age children, and its manifestation changes with age. The decrease in N3 and increase in N2 become more pronounced with age, while the enhancement of low-frequency power is consistent across ages. These findings highlight the importance of considering age and specific sleep indicators when interpreting pediatric PSG results and underscore the need for a multi-level approach to understanding sleep changes across development.
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