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Application of an Amplitude-integrated EEG Monitor Cerebral Function Monitor to Neonates
Published on: September 6, 2017
Characterization of aEEG During Sleep and Wakefulness in Healthy Children
Verena T Löffelhardt1, Adela Della Marina1,2, Sandra Greve1
1Department of Pediatrics I, Neonatology, Pediatric Intensive Care Medicine, and Pediatric Neurology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Insights
Amplitude-integrated electroencephalography (aEEG) patterns in children differ significantly between wakefulness and sleep. Understanding these physiological background patterns is crucial for accurate interpretation in clinical practice and research.
Area of Science:
- Pediatric Neurology
- Neurophysiology
Background:
- Interpretation of amplitude-integrated EEG (aEEG) in children is challenging due to limited knowledge of normal physiological background patterns.
- Differentiating between wakefulness and sleep states is essential for accurate aEEG analysis in pediatric populations.
Purpose of the Study:
- To investigate the differences in amplitude-integrated EEG (aEEG) patterns between wakefulness and sleep states in children.
- To establish normative data for aEEG amplitudes and bandwidths in non-critically ill children.
Main Methods:
- Converted 40 continuous full-channel EEGs (cEEG) from patients under 18 years into aEEGs.
- Measured upper and lower amplitudes and calculated bandwidths (BW) on specific channels during wakefulness and sleep.
- Assessed sleep states using American Academy of Sleep Medicine criteria and compared aEEG parameters between states.
Main Results:
- aEEG amplitudes and BW varied significantly between wakefulness and sleep.
- During wakefulness and light sleep (REM, N1, N2), amplitudes were lower, while deep sleep (N2-N3) showed higher amplitudes and BW.
- Low amplitude sections increased in duration overnight, and amplitudes/BW decreased with increasing age.
Conclusions:
- Pediatric aEEG exhibits distinct patterns during wakefulness and different sleep stages.
- Clinicians and researchers must consider the child's state (wakefulness vs. sleep) when interpreting aEEG background patterns.
- This study provides valuable insights into normal pediatric aEEG physiology, aiding in better clinical interpretation.
Introduction:
Interpretation of amplitude-integrated EEG (aEEG) is hindered by lacking knowledge on physiological background patterns in children. The aim of this study was to find out whether aEEG differs between wakefulness and sleep in children.
Methods:
Forty continuous full-channel EEGs (cEEG) recorded during the afternoon and overnight in patients <18 years of age without pathologies or only solitary interictal epileptiform discharges were converted into aEEGs. Upper and lower amplitudes of the C3-C4, P3-P4, C3-P3, C4-P4, and Fp1-Fp2 channels were measured during wakefulness and sleep by two investigators and bandwidths (BW) calculated. Sleep states were assessed according to the American Academy of Sleep Medicine. Median and interquartile ranges (IQR) were calculated to compare the values of amplitudes and bandwidth between wakefulness and sleep.
Results:
Median age was 9.9 years (IQR 6.1-14.7). All patients displayed continuous background patterns. Amplitudes and BW differed between wakefulness and sleep with median amplitude values of the C3-C4 channel 35 μV (IQR: 27-49) for the upper and 13 μV (10-19) for the lower amplitude. The BW was 29 μV (21-34). During sleep, episodes with high amplitudes [upper: 99 μV (71-125), lower: 35 μV (25-44), BW 63 μV (44-81)] corresponded to sleep states N2-N3. High amplitude-sections were interrupted by low amplitude-sections, which became the longer toward the morning [upper amplitude: 39 μV (30-51), lower: 16 μV (11-20), BW 23 μV (19-31)]. Low amplitude-sections were associated with sleep states REM, N1, and N2. With increasing age, amplitudes and bandwidths declined.
Conclusion:
aEEGs in non-critically ill children displayed a wide range of amplitudes and bandwidths. Amplitudes were low during wakefulness and light sleep and high during deep sleep. Interpretation of pediatric aEEG background patterns must take into account the state of wakefulness in in clinical practice and research.
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