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Updated: Jun 2, 2026

Application of an Amplitude-integrated EEG Monitor (Cerebral Function Monitor) to Neonates
Published on: September 6, 2017
Evaluation of brain maturation in pre-term infants using conventional and amplitude-integrated electroencephalograms
Toru Kato1, Akihisa Okumura, Fumio Hayakawa
1Department of Pediatrics, Okazaki City Hospital, Okazaki, Aichi, Japan. kato-jes@umin.ac.jp
Insights
Conventional electroencephalograms (cEEGs) and amplitude-integrated EEGs (aEEGs) accurately assess brain maturation in preterm infants. cEEGs demonstrated higher accuracy than aEEGs in estimating postconceptional age.
Area of Science:
- Neonatal neurology
- Neurophysiology
- Developmental neuroscience
Background:
- Assessing brain maturation in preterm infants is crucial for clinical management.
- Conventional electroencephalograms (cEEGs) and amplitude-integrated EEGs (aEEGs) are used for this purpose.
- The comparative accuracy of cEEG and aEEG in evaluating brain maturation needs further investigation.
Purpose of the Study:
- To compare the accuracy of cEEG and aEEG in assessing brain maturation in preterm infants.
- To investigate potential extrauterine acceleration of brain maturation.
- To evaluate the correlation between estimated and chronological postconceptional age (PCA).
Main Methods:
- Analysis of 129 EEGs from 37 preterm infants (27-37 weeks PCA).
- Blind estimation of PCA using cEEG and aEEG's total cerebral function monitoring (CFM) score.
- Calculation of estimated PCA (ePCA) on aEEG using a regression equation.
Main Results:
- Significant correlation found between chronological PCA (cPCA) and ePCA for both cEEG and aEEG.
- The estimation gap was smaller with cEEG (-2 to +2 weeks in 96.9% of cases).
- No significant correlation between postnatal age and estimation gap observed for either method.
Conclusions:
- Both cEEG and aEEG correlate well with cPCA for brain maturation assessment.
- cEEG provides more accurate brain maturation evaluation compared to aEEG.
- No evidence of extrauterine acceleration of brain maturation was detected.
Objective:
To investigate the accuracy of conventional electroencephalograms (cEEGs) and amplitude-integrated EEGs (aEEGs) in the evaluation of brain maturation in normal pre-term infants. In addition, extrauterine acceleration of brain maturation was investigated.
Methods:
A total of 129 EEGs recorded between 27 and 37 weeks of postconceptional age (PCA) from 37 clinically stable pre-term infants were analysed. One expert investigator blindly estimated PCA using cEEG and total cerebral function monitoring (CFM) score on aEEG. The estimated PCA (ePCA) on aEEG was calculated from a regression equation.
Results:
The linear regression analysis showed a significant correlation between chronological PCA (cPCA) and ePCA on cEEG and between cPCA and total CFM score on aEEG. The estimation gap was smaller on cEEG, which was between -2 and +2 weeks in 96.9%. No significant correlation was observed between postnatal age and the estimation gap on cEEG or aEEG.
Conclusions:
Estimated brain maturation was well correlated with cPCA on cEEG and aEEG. However, the evaluation of brain maturation was much more accurate on cEEG than aEEG. Extrauterine acceleration of brain maturation was not observed on either cEEG or aEEG.
Significance:
cEEG and aEEG will be valuable tools for evaluation of brain maturation in pre-term infants.

