Monitoring anesthesia using simultaneous functional Near Infrared Spectroscopy and Electroencephalography

Objective: This study aims to understand the neural and hemodynamic responses during general anes-thesia in order to develop a comprehensive multimodal anesthesia depth monitor using simultaneous functional Near Infrared Spectroscopy (fNIRS) and Electroencephalogram (EEG). Methods: 37 adults and 17 children were monitored with simultaneous fNIRS and EEG, during the com-plete general anesthesia process. The coupling of fNIRS signals with neuronal signals (EEG) was calcu-lated. Measures of complexity (sample entropy) and phase difference were also quantified from fNIRS signals to identify unique fNIRS based biomarkers of general anesthesia. Results: A significant decrease in the complexity and power of fNIRS signals characterize the anesthesia maintenance phase. Furthermore, responses to anesthesia vary between adults and children in terms of neurovascular coupling and frontal EEG alpha power. Conclusions: This study shows that fNIRS signals could reliably quantify the underlying neuronal activity under general anesthesia and clearly distinguish the different phases throughout the procedure in adults and children (with less accuracy). Significance: A multimodal approach incorporating the specific differences between age groups, provides a reliable measure of anesthesia depth. (c) 2021 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.

Automated summary

This study aims to develop a comprehensive multimodal anesthesia depth monitor by understanding the neural and hemodynamic responses during general anesthesia using fNIRS and EEG. The research found a significant decrease in the complexity and power of fNIRS signals during the maintenance phase of anesthesia and variations in responses to anesthesia between adults and children. Multimodal approach could provide a reliable measure of anesthesia depth, taking into account specific differences between age groups.