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pmid: 30020157
The purpose of this review is to highlight the importance of making informed choices of anesthetics and evaluating the impact of depth of anesthesia, hemodynamic status and other factors capable of interfering with signal capture during intraoperative neurophysiological monitoring (IONM).Over the last decades, neuromonitoring has advanced considerably, allowing for insights into neurological function during anesthesia and making it possible to assess intraoperative consciousness and neural integrity in real time. IONM is indicated in surgeries posing risk to targeted neural tissues and adjacent structures. The technique helps correlate surgical maneuvers with neurophysiological changes at high levels of sensitivity and specificity and can identify risk situations early enough to prevent postoperative neurological deficits.Experience with IONM, the use of an adequate IONM modality, and knowledge of the effect of anesthetic techniques and agents on neurophysiological parameters are fundamental for reliable measurements. The current gold standard in IONM is total intravenous anesthesia without neuromuscular block.
Intraoperative Neurophysiological Monitoring, Humans, Anesthesia, Electroencephalography, Evoked Potentials, Neurosurgical Procedures
Intraoperative Neurophysiological Monitoring, Humans, Anesthesia, Electroencephalography, Evoked Potentials, Neurosurgical Procedures
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 45 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |