Mechanisms underlying brain monitoring during anesthesia: limitations, possible improvements, and perspectives.
10.4097/kjae.2016.69.2.113
- Author:
Marco CASCELLA
1
Author Information
1. Department of Anesthesia, Endoscopy and Cardiology, National Cancer Institute 'G Pascale' Foundation, Naples, Italy. m.cascella@istitutotumori.na.it
- Publication Type:Review
- Keywords:
Electroencephalography;
Intraoperative awareness;
Intraoperative neurophysiological monitoring
- MeSH:
Anesthesia*;
Anesthesia, General;
Anesthetics;
Brain*;
Consciousness;
Electroencephalography;
Hypnosis;
Intraoperative Awareness;
Intraoperative Neurophysiological Monitoring;
Mathematical Concepts;
Models, Theoretical
- From:Korean Journal of Anesthesiology
2016;69(2):113-120
- CountryRepublic of Korea
- Language:English
-
Abstract:
Currently, anesthesiologists use clinical parameters to directly measure the depth of anesthesia (DoA). This clinical standard of monitoring is often combined with brain monitoring for better assessment of the hypnotic component of anesthesia. Brain monitoring devices provide indices allowing for an immediate assessment of the impact of anesthetics on consciousness. However, questions remain regarding the mechanisms underpinning these indices of hypnosis. By briefly describing current knowledge of the brain's electrical activity during general anesthesia, as well as the operating principles of DoA monitors, the aim of this work is to simplify our understanding of the mathematical processes that allow for translation of complex patterns of brain electrical activity into dimensionless indices. This is a challenging task because mathematical concepts appear remote from clinical practice. Moreover, most DoA algorithms are proprietary algorithms and the difficulty of exploring the inner workings of mathematical models represents an obstacle to accurate simplification. The limitations of current DoA monitors - and the possibility for improvement - as well as perspectives on brain monitoring derived from recent research on corticocortical connectivity and communication are also discussed.
