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不同麻醉剂诱导的镇静患者脑电图特征

Characteristics of electroencephalogram signatures in sedated patients induced by various anesthetic agents.

作者信息

Choi Byung-Moon

机构信息

Department of Anesthesiology and Pain Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.

出版信息

J Dent Anesth Pain Med. 2017 Dec;17(4):241-251. doi: 10.17245/jdapm.2017.17.4.241. Epub 2017 Dec 28.

DOI:10.17245/jdapm.2017.17.4.241
PMID:29349346
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5766087/
Abstract

Devices that monitor the depth of hypnosis based on the electroencephalogram (EEG) have long been commercialized, and clinicians use these to titrate the dosage of hypnotic agents. However, these have not yet been accepted as standard monitoring devices for anesthesiology. The primary reason is that the use of these monitoring devices does not completely prevent awareness during surgery, and the development of these devices has not taken into account the neurophysiological mechanisms of hypnotic agents, thus making it possible to show different levels of unconsciousness in the same brain status. An alternative is to monitor EEGs that are not signal processed with numerical values presented by these monitoring devices. Several studies have reported that power spectral analysis alone can distinguish the effects of different hypnotic agents on consciousness changes. This paper introduces the basic concept of power spectral analysis and introduces the EEG characteristics of various hypnotic agents that are used in sedation.

摘要

基于脑电图（EEG）监测催眠深度的设备早已商业化，临床医生使用这些设备来滴定催眠药物的剂量。然而，这些设备尚未被接受为麻醉学的标准监测设备。主要原因是使用这些监测设备并不能完全防止手术期间的知晓，并且这些设备的开发没有考虑催眠药物的神经生理机制，因此在相同的脑状态下可能显示出不同程度的无意识状态。另一种方法是监测未经这些监测设备以数值形式进行信号处理的脑电图。多项研究报告称，仅功率谱分析就能区分不同催眠药物对意识变化的影响。本文介绍了功率谱分析的基本概念，并介绍了用于镇静的各种催眠药物的脑电图特征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/970d/5766087/e958786adf30/jdapm-17-241-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/970d/5766087/e757de4214d7/jdapm-17-241-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/970d/5766087/38af613c9cef/jdapm-17-241-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/970d/5766087/a80f4869e77a/jdapm-17-241-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/970d/5766087/174a5791807e/jdapm-17-241-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/970d/5766087/4d37867a01c3/jdapm-17-241-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/970d/5766087/02d91a69f0cd/jdapm-17-241-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/970d/5766087/e958786adf30/jdapm-17-241-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/970d/5766087/e757de4214d7/jdapm-17-241-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/970d/5766087/38af613c9cef/jdapm-17-241-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/970d/5766087/a80f4869e77a/jdapm-17-241-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/970d/5766087/174a5791807e/jdapm-17-241-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/970d/5766087/4d37867a01c3/jdapm-17-241-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/970d/5766087/02d91a69f0cd/jdapm-17-241-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/970d/5766087/e958786adf30/jdapm-17-241-g007.jpg

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Anesthesiology. 2015 Oct;123(4):937-60. doi: 10.1097/ALN.0000000000000841.
2
A comparison of propofol- and dexmedetomidine-induced electroencephalogram dynamics using spectral and coherence analysis.使用频谱和相干分析比较丙泊酚和右美托咪定诱导的脑电图动态变化。
Anesthesiology. 2014 Nov;121(5):978-89. doi: 10.1097/ALN.0000000000000419.
3
Common resting brain dynamics indicate a possible mechanism underlying zolpidem response in severe brain injury.
常见的静息脑动力学表明了严重脑损伤中唑吡坦反应潜在的一种机制。
Elife. 2013 Nov 19;2:e01157. doi: 10.7554/eLife.01157.
4
Electroencephalogram signatures of loss and recovery of consciousness from propofol.丙泊酚诱导意识丧失与恢复的脑电图特征
Proc Natl Acad Sci U S A. 2013 Mar 19;110(12):E1142-51. doi: 10.1073/pnas.1221180110. Epub 2013 Mar 4.
5
The impact of nitrous oxide on electroencephalographic bicoherence during isoflurane anesthesia.一氧化二氮对异氟烷麻醉时脑电图双相干的影响。
Anesth Analg. 2012 Sep;115(3):572-7. doi: 10.1213/ANE.0b013e3182575b70. Epub 2012 May 14.
6
Nitrous oxide paradoxically modulates slow electroencephalogram oscillations: implications for anesthesia monitoring.笑气悖论性地调节慢脑电振荡：对麻醉监测的启示。
Anesth Analg. 2011 Oct;113(4):758-65. doi: 10.1213/ANE.0b013e318227b688. Epub 2011 Jul 25.
7
General anesthesia and altered states of arousal: a systems neuroscience analysis.全身麻醉与意识改变状态：系统神经科学分析。
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8
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9
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