Prevalence and Etiology of False Normal AEEG Recordings in Neonatal Hypoxic-ischaemic Encephalopathy

Overview

Journal BMC Pediatr

Publisher Biomed Central

Specialty Pediatrics

Date 2013 Nov 26

PMID 24268061

Citations 8

Authors

Gabor Marics

Anna Cseko

Barna Vasarhelyi

David Zakarias

Gyorgy Schuster

Miklos Szabo

Affiliations

Soon will be listed here.

Abstract

Background: Amplitude-integrated electroencephalography (aEEG) is a useful tool to determine the severity of neonatal hypoxic-ischemic encephalopathy (HIE). Our aim was to assess the prevalence and study the origin of false normal aEEG recordings based on 85 aEEG recordings registered before six hours of age.

Methods: Raw EEG recordings were reevaluated retrospectively with Fourier analysis to identify and describe the frequency patterns of the raw EEG signal, in cases with inconsistent aEEG recordings and clinical symptoms. Power spectral density curves, power (P) and median frequency (MF) were determined using the raw EEG. In 7 patients non-depolarizing muscle relaxant (NDMR) exposure was found. The EEG sections were analyzed and compared before and after NDMR administration.

Results: The reevaluation found that the aEEG was truly normal in 4 neonates. In 3 neonates, high voltage electrocardiographic (ECG) artifacts were found with flat trace on raw EEG. High frequency component (HFC) was found as a cause of normal appearing aEEG in 10 neonates. HFC disappeared while P and MF decreased significantly upon NDMR administration in each observed case.

Conclusion: Occurrence of false normal aEEG background pattern is relatively high in neonates with HIE and hypothermia. High frequency EEG artifacts suggestive of shivering were found to be the most common cause of false normal aEEG in hypothermic neonates while high voltage ECG artifacts are less common.

Citing Articles

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The impact of age and electrode position on amplitude-integrated EEGs in children from 1 month to 17 years of age.

Greve S, Loffelhardt V, Marina A, Felderhoff-Muser U, Dohna-Schwake C, Bruns N Front Neurol. 2022; 13:952193.

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Building an Open Source Classifier for the Neonatal EEG Background: A Systematic Feature-Based Approach From Expert Scoring to Clinical Visualization.

Montazeri S, Pinchefsky E, Tse I, Marchi V, Kohonen J, Kauppila M Front Hum Neurosci. 2021; 15:675154.

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Heart rate variability as possible marker of brain damage in neonates with hypoxic ischemic encephalopathy: a systematic review.

Bersani I, Piersigilli F, Gazzolo D, Campi F, Savarese I, Dotta A Eur J Pediatr. 2020; 180(5):1335-1345.

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Application of an Amplitude-integrated EEG Monitor (Cerebral Function Monitor) to Neonates.

Bruns N, Blumenthal S, Meyer I, Klose-Verschuur S, Felderhoff-Muser U, Muller H J Vis Exp. 2017; (127).

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