爆发抑制脑电图模式的病因

Etiology of Burst Suppression EEG Patterns.

作者信息

Shanker Akshay, Abel John H, Schamberg Gabriel, Brown Emery N

机构信息

Department of Anesthesiology, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, United States.

Department of Anesthesia, Critical Care, and Pain Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States.

出版信息

Front Psychol. 2021 Jun 10;12:673529. doi: 10.3389/fpsyg.2021.673529. eCollection 2021.

Abstract

Burst-suppression electroencephalography (EEG) patterns of electrical activity, characterized by intermittent high-power broad-spectrum oscillations alternating with isoelectricity, have long been observed in the human brain during general anesthesia, hypothermia, coma and early infantile encephalopathy. Recently, commonalities between conditions associated with burst-suppression patterns have led to new insights into the origin of burst-suppression EEG patterns, their effects on the brain, and their use as a therapeutic tool for protection against deleterious neural states. These insights have been further supported by advances in mechanistic modeling of burst suppression. In this Perspective, we review the origins of burst-suppression patterns and use recent insights to weigh evidence in the controversy regarding the extent to which burst-suppression patterns observed during profound anesthetic-induced brain inactivation are associated with adverse clinical outcomes. Whether the clinical intent is to avoid or maintain the brain in a state producing burst-suppression patterns, monitoring and controlling neural activity presents a technical challenge. We discuss recent advances that enable monitoring and control of burst suppression.

摘要

爆发抑制脑电图(EEG)的电活动模式,其特征为间歇性的高功率广谱振荡与电静息交替出现,长期以来在全身麻醉、体温过低、昏迷和早期婴儿脑病期间的人类大脑中被观察到。最近,与爆发抑制模式相关的各种情况之间的共性,为深入了解爆发抑制脑电图模式的起源、它们对大脑的影响以及它们作为预防有害神经状态的治疗工具的应用,带来了新的见解。爆发抑制的机制建模进展进一步支持了这些见解。在本观点文章中,我们回顾了爆发抑制模式的起源,并利用最近的见解来权衡关于在深度麻醉诱导的脑失活期间观察到的爆发抑制模式在多大程度上与不良临床结果相关这一争议中的证据。无论临床目的是避免还是维持大脑处于产生爆发抑制模式的状态,监测和控制神经活动都面临技术挑战。我们讨论了实现爆发抑制监测和控制的最新进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86ce/8222661/25d8dce5027f/fpsyg-12-673529-g001.jpg

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