Affiliation:
1. Children’s Hospital of Philadelphia, University of Pennsylvania
2. University of Pennsylvania
3. Children's Hospital of Philadelphia
4. Northwestern University
Abstract
Abstract
Purpose:
Electroencephalogram (EEG) can be used to assess anesthetic depth, but interpreting EEG can be challenging, especially in neonates whose EEG undergo rapid changes during the perinatal course. EEG can be processed into quantitative EEG (QEEG), but limited data exist on the range of QEEG for normal term neonates during wakefulness and sleep, baseline information needed to determine changes in anesthetic depth during neonatal anesthesia. We aimed to determine the range of QEEG in neonates during awake, active sleep and quiet sleep states, and identified the ones best at discriminating between the three states.
Methods
Normal neonatal EEG from 37–46 weeks were analyzed and classified as awake, quiet sleep, or active sleep. After processing and artefact removal, total power, power ratio, coherence, and entropy, and spectral edge frequency (SEF) 50 and 90 were calculated. Descriptive statistics were used to summarize the QEEG in each of the three states. Receiver operating characteristic (ROC) curves were used to assess discriminatory ability of QEEG.
Results
30 neonates were analyzed. QEEG were different between awake vs asleep states, but similar between active vs quiet sleep states. Entropy beta, delta2 power %, coherence delta2, and SEF50 were best at discriminating awake vs active sleep. Entropy beta had the highest AUC-ROC ≥ 0.84. Entropy beta, entropy delta1, theta power %, and SEF50 were best at discriminating awake vs quiet sleep. All had AUC-ROC ≥ 0.78. In active sleep vs quiet sleep, theta power % had AUC-ROC > 0.69, lower than the other comparisons.
Conclusion
We determined the QEEG range in healthy neonates in different states of consciousness. Entropy beta and SEF50 were best at discriminating between awake and sleep states. QEEG were not as good at discriminating between quiet and active sleep. In the future, QEEG with high discriminatory power can be combinations to further improve ability to differentiate between states of consciousness.
Publisher
Research Square Platform LLC
Reference30 articles.
1. Developmental changes in electroencephalogram for term and preterm infants using an autoregressive model;Sawaguchi H;Pediatr Int,1996
2. Neurovascular coupling (NVC) in newborns using processed EEG versus amplitude-EEG;Das Y;Sci Rep,2021
3. Neuromonitoring in paediatric anaesthesia;Davidson A;Curr Opin Anesthesiology,2019
4. Toole JM, Boylan GB. "NEURAL: quantitative features for newborn EEG using Matlab," arXiv preprint arXiv:1704.05694, 2017.
5. Electroencephalographic markers of brain development during sevoflurane anaesthesia in children up to 3 years old;Cornelissen L;Br J Anaesth,2018