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Updated: Aug 18, 2026

Preterm EEG: A Multimodal Neurophysiological Protocol
Published on: February 18, 2012
Distribution of sleep and wakefulness EEG patterns in 24-h recordings of preterm and full-term newborns
E Biagioni1, A Boldrini, F Giganti
1Department of Developmental Neuroscience, Stella Maris Scientific Institute, University of Pisa, 56018 Calambrone, Pisa, Italy.
Insights
This study analyzed 24-hour electroencephalogram (EEG) patterns in preterm and near-term neonates. Key EEG patterns shift with postmenstrual age and show distinct diurnal variations, impacting sleep organization.
Area of Science:
- Neonatal Neurology
- Sleep Medicine
- Developmental Neuroscience
Background:
- Neonatal electroencephalogram (EEG) patterns are crucial indicators of brain development and function.
- Understanding the typical organization and evolution of these patterns is essential for identifying neurological abnormalities.
- Previous research often relied on shorter EEG recordings, limiting insights into 24-hour sleep-wake cycles and developmental changes.
Purpose of the Study:
- To evaluate the organization of EEG patterns over 24-hour recordings in preterm and near-term neonates.
- To analyze the distribution of different EEG patterns based on postmenstrual age (PMA).
- To investigate variations in sleep-related EEG pattern organization during daytime and nighttime hours.
Main Methods:
- Utilized 24-hour continuous EEG recordings from preterm and near-term neonates.
- Classified and quantified various EEG patterns throughout the recording periods.
- Correlated EEG pattern distribution and sleep organization with postmenstrual age and time of day (day vs. night).
Main Results:
- Confirmed the age-dependent appearance of neonatal EEG patterns previously described in shorter studies.
- Observed a decrease in medium-voltage continuous EEG (pattern "3") as neonates approached term, coinciding with the emergence of low-voltage continuous patterns (patterns "1" and "2") associated with active sleep and wakefulness.
- Found that discontinuous EEG (pattern "7"), linked to quiet sleep, decreased with age but was significantly more prevalent during daytime hours compared to nighttime.
Conclusions:
- Neonatal EEG pattern organization exhibits significant changes with increasing postmenstrual age, reflecting neurodevelopmental maturation.
- Diurnal variations in EEG patterns are evident, with specific patterns showing differential distribution between day and night, impacting sleep state organization.
- Continuous 24-hour EEG monitoring provides a comprehensive understanding of neonatal brain activity and sleep architecture crucial for clinical assessment.
Abstract:
The aim of this study was to evaluate the organisation of EEG patterns in 24-h recordings of preterm and near-term neonates. In particular, the distribution of the different EEG codes at different postmenstrual ages (PMA) and the variations of sleep-related EEG pattern organisation was studied, during day (8.00 a.m.-8.00 p.m.) and night (8.00 p.m.-8.00 a.m.) time. The age of appearance of different neonatal EEG patterns, previously described in literature for short lasting records, was confirmed in this 24-h study. The medium-voltage continuous EEG pattern (pattern "3") was less represented approaching term age, in coincidence with the appearance of the two low-voltage continuous patterns ("1" and "2"), which are also related to active sleep and wakefulness. Discontinuous pattern ("7") was also less represented with age, but in day-time only. The percentage of time occupied by this pattern, related to quiet sleep, was significantly higher during day-time hours, than at night.
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