Related Experiment Video
Updated: May 16, 2026
Application of an Amplitude-integrated EEG Monitor (Cerebral Function Monitor) to Neonates
Published on: September 6, 2017
Systematic characterization of amplitude-integrated EEG signals for monitoring the preterm brain
Elke Griesmaier1, David Pierre Enot, Miriam Bachmann
1Department of Pediatrics II, Medical University of Innsbruck, Innsbruck, Austria. Elke.Griesmaier@i-med.ac.at
Insights
Amplitude-integrated electroencephalogram (aEEG) monitoring in preterm infants is influenced by gestational age, postnatal age, sedation, and patent ductus arteriosus (PDA). Establishing normative data is crucial for routine clinical use.
Area of Science:
- Neonatal Neurology
- Clinical Neurophysiology
Background:
- Amplitude-integrated electroencephalogram (aEEG) is not yet standard in preterm infant clinical practice.
- Longitudinal characterization is needed to establish normative aEEG data.
Purpose of the Study:
- Derive normative aEEG data in preterm infants.
- Evaluate the impact of gestational age (GA), postnatal age (PNA), sedation, and patent ductus arteriosus (PDA) on aEEG parameters.
Main Methods:
- Recorded aEEG from 61 infants (GA 28-31 weeks) within the first 72 hours and weekly up to 4 weeks.
- Grouped infants based on sedation and PDA status (no sedation/no PDA, sedation/no PDA, sedation/PDA).
- Analyzed background activity, cycling, amplitude, and amplitude ratio.
Main Results:
- GA and PNA significantly impacted aEEG within 72 hours.
- Sedation altered aEEG findings; PDA was associated with reduced aEEG scores within 72 hours.
- Amplitude ratio correlated with GA but was independent of sedation and PDA.
Conclusions:
- Understanding postnatal factors affecting cerebral function in preterm infants requires evaluating electrocortical activity longitudinally.
- Standardized definitions and reporting are necessary to establish aEEG for routine preterm infant monitoring.
Background:
In preterm infants, the amplitude-integrated electroencephalogram (aEEG) is not established in clinical routine. The aim of this study was to derive normative data on aEEG parameters by means of longitudinal characterization and to evaluate the impact of gestational age (GA), postnatal age (PNA), postmenstrual age, sedation, and patent ductus arteriosus (PDA).
Methods:
Recordings from 61 infants with GA 28-31 weeks were obtained during the first 72 h, then weekly until the age of 4 wk. Infants were divided into three groups: (i) no sedation, no PDA, (ii) sedation, no PDA, and (iii) sedation, PDA. Assessed parameters included background activity, cycling, amplitude, and log ratio of the maximum/minimum amplitude.
Results:
GA and PNA had a significant impact within 72 h. Sedation modified aEEG, and presence of PDA was associated with reduced aEEG scores within 72 h. The log ratio of the amplitude correlated with GA but was unaffected by sedation and PDA.
Conclusion:
Evaluation of electrocortical background activity within the first postnatal hours and longitudinally over days and weeks is important to better understand the postnatal factors impacting cerebral function in preterm infants. There is a need to agree on definitions and a standardized reporting system in order to permit comparisons between studies and establish aEEG as a method for routine monitoring of preterm infants.
