ReviewKorean journal of anesthesiology2016
Mechanisms underlying brain monitoring during anesthesia: limitations, possible improvements, and perspectives.
Review in Korean journal of anesthesiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.
- BIS Monitoring on Intraoperative Awareness: A Meta-analysis.Current medical science · 2018Pooled it
- Raw EEG as a viable alternative to engineered decompositions in anesthetic depth prediction.Journal of anesthesia · 2026Article
- Perioperative Challenges in a Patient With Sturge-Weber and Obesity Hypoventilation Syndromes.Case reports in medicine · 2026Article
- Effectiveness of Generative Artificial Intelligence-Driven Responses to Patient Concerns in Long-Term Opioid Therapy: Cross-Model Assessment.Biomedicines · 2025Article
- Evaluation of putative signatures of consciousness using specific definitions of responsiveness, connectedness, and consciousness.British journal of anaesthesia · 2024Article
- Investigation of proarrhythmic effect of high sugammadex doses: an experimental animal study.Journal of anesthesia, analgesia and critical care · 2022Article
- Understanding basic principles of Artificial Intelligence: a practical guide for intensivists.Acta bio-medica : Atenei Parmensis · 2022Article
- Reading beyond quantitative electroencephalography-based indices: a case of erroneously high entropy values during ophthalmic surgery.Korean journal of anesthesiology · 2022Article
- Distinct EEG signatures differentiate unconsciousness and disconnection during anaesthesia and sleep.British journal of anaesthesia · 2022Article
- Signatures of Thalamocortical Alpha Oscillations and Synchronization With Increased Anesthetic Depths Under Isoflurane.Frontiers in pharmacology · 2022Article
- Simultaneous comparison of depth of sedation performance between SedLine and BIS during general anesthesia using custom passive interface hardware: study protocol for a prospective, non-blinded, non-randomized trial.BMC anesthesiology · 2021Article
- Do epoch lengths of hypnotic depth indicators affect estimated of blood-brain equilibration rate constants of propofol?Journal of pharmacokinetics and pharmacodynamics · 2021Article
- The quantification and monitoring of intraoperative nociception levels in thoracic surgery: a review.Journal of thoracic disease · 2019Review
- A Comparison of Bispectral Index and Entropy During Sevoflurane Anesthesia Induction in Children with and without Diplegic Cerebral Palsy.Entropy (Basel, Switzerland) · 2019Article
- Towards a better understanding of anesthesia emergence mechanisms: Research and clinical implications.World journal of methodology · 2018Review
- Unusual elevation in Entropy but not in PSI during general anesthesia: a case report.BMC anesthesiology · 2018Article
- Article
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.