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All-night EEG power spectral analysis of the cyclic alternating pattern at different ages
Oliviero Bruni1, Luana Novelli, Elena Finotti
1Pediatric Sleep Center, Department of Developmental Neurology and Psychiatry, Sapienza University, Rome, Italy. oliviero.bruni@uniroma1.it
Insights
Pre-school children exhibit distinct sleep microstructures, particularly in Cyclic Alternating Pattern (CAP) components, compared to adults. These age-related differences in sleep EEG neurophysiology are crucial for interpreting pediatric sleep studies.
Area of Science:
- Neuroscience
- Sleep Medicine
- Pediatric Neurology
Background:
- Cyclic Alternating Pattern (CAP) is a key feature of sleep microstructure.
- Understanding age-related changes in CAP is essential for interpreting sleep EEG data.
Purpose of the Study:
- To analyze the frequency content of EEG components within CAP during sleep in pre-school children, school-aged children, and young adults.
- To compare the spectral characteristics of CAP and non-CAP sleep across these age groups.
Main Methods:
- Polysomnographic overnight recordings were conducted on 14 pre-school children, 18 school-aged children, and 16 adults.
- Sleep stages and CAP were scored using standard criteria.
- Average power spectra were calculated for CAP subtypes (A1, A2, A3) and non-CAP in sleep stage 2 and slow-wave sleep (SWS).
Main Results:
- Pre-school children showed significantly higher power across all frequency ranges for CAP subtypes in sleep stage 2 and SWS compared to adults.
- School-aged children differed from adults primarily in lower frequencies (<7 Hz) for CAP.
- Both pre-school and school-aged children differed from adults in almost all analyzed frequencies for non-CAP.
Conclusions:
- CAP subtypes exhibit distinct spectral characteristics that vary with age and sleep stage (stage 2 vs. SWS).
- Pre-school children possess a significantly different sleep microstructure, characterized by altered CAP and non-CAP components, compared to adults.
- These findings highlight age-specific neurophysiological dynamics of sleep EEG and are vital for pediatric patient studies.
Objective:
To analyze in detail the frequency content of the different EEG components of the Cyclic Alternating Pattern (CAP) in the whole sleep of pre-school and school age children compared to normal young adults.
Methods:
Fourteen pre-school age and 18 school age children and 16 adults were included in this study. Each participant underwent a polysomnographic overnight recording, after an adaptation night; sleep stages and CAP were scored following standard criteria. Average spectra were obtained for each CAP condition from the signal recorded from C3/A2 or C4/A1, separately in sleep stage 2 and slow-wave sleep (SWS), for each subject.
Results:
The analysis of the relative power density in the three groups showed that in sleep stage 2 and in SWS, CAP A1, A2, A3 subtypes had a significantly higher power in all frequency ranges in pre-school children than in adults, while school children differed mainly for the lower frequencies (<7 Hz). For non-CAP, pre-school and school children differed from adults at almost all frequencies analyzed. Generally, A1, A2 and A3 showed clear spectral differences in the three different groups of subjects with pre-school age children showing slightly less evident differences.
Conclusions:
CAP subtypes are characterized by clearly different spectra at different ages and also the same subtype shows a different power spectrum, during sleep stage 2 or SWS. This study shows that pre-school children have a different structure of sleep, especially from the microstructural (CAP) point of view: the differences are evident for all the CAP components and for non-CAP in almost all the frequency bands. This finding might be associated to the age-related delta decline in the 0-3 Hz frequency reported in children of the same age.
Significance:
Our data seem to provide information not available before and useful for the understanding of the impact of CAP on the sleep EEG neurophysiological dynamics at different ages. This type of information is crucial for a more adequate interpretation of data provided by a growing number of studies analyzing CAP in groups of pediatric patients.
