Decreased Electroencephalographic Alpha Power During Anesthesia Induction Is Associated With EEG Discontinuity in
Jerry Y Chao1, Rodrigo Gutiérrez2, Alan D Legatt3,4,5
1From the Department of Anesthesiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York.
Anesthesia and Analgesia
|January 18, 2022
Summary
Electroencephalogram (EEG) discontinuity is common in infants during anesthesia induction. Lower posterior alpha power during anesthesia predicts EEG discontinuity, suggesting it may indicate underlying brain circuit properties.
Area of Science:
- Neuroscience
- Anesthesiology
- Pediatric Neurology
Background:
- Electroencephalogram (EEG) discontinuity, a sign of suppressed brain activity, occurs with high anesthetic concentrations.
- While known in children and neonates, its significance in pediatric noncardiac surgery anesthesia is unclear.
- This study investigates EEG discontinuity during anesthesia induction in infants.
Purpose of the Study:
- To assess the incidence of EEG discontinuity during anesthesia induction in neurologically normal infants.
- To identify clinical factors associated with EEG discontinuity.
- To test the hypothesis that EEG discontinuity is linked to sevoflurane-induced alpha power.
Main Methods:
- Prospective observational study of 54 infants undergoing anesthesia induction.
- Recorded 26-channel EEG, identifying discontinuity as voltage amplitude <25 microvolts for >2 seconds.
- Assessed association with sevoflurane-induced alpha power using spectral analysis and multivariable logistic regression.
Main Results:
- EEG discontinuity occurred in 37% of infants (20/54).
- Lower posterior alpha power during anesthesia was significantly associated with EEG discontinuity (P=.004).
- This association remained significant after multivariable adjustment (aOR=0.51; P=.02).
Conclusions:
- EEG discontinuity is frequent during infant anesthesia induction.
- It is associated with reduced posterior alpha power, a marker of cortical-thalamic development.
- Anesthesia may unmask brain circuit properties, with EEG markers potentially identifying susceptible patients.


