[The effect of anesthetic concentration on burst-suppression of the EEG in rats].
[The effect of anesthetic concentration on burst-suppression of the EEG in rats].
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发表时间：
2012-04
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通讯作者：
Dandan Zhang;X. Jia;Haiyan Ding
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作者：
Dandan Zhang;X. Jia;Haiyan Ding
“突发抑制”一词被用来描述脑电(EEG)模式，其特征是θ波或增量波，有时与更快的波混合，以及相对平静的间歇期。爆发式抑制模式可以反映深度麻醉下大脑活动受到的严重抑制。为了探讨爆发抑制特性与麻醉浓度的关系，我们采用了爆发抑制比(BSR)、爆发频率、爆发幅度和抑制幅度四个直接指标，并用它们分析了10只异氟醚麻醉大鼠的脑电记录。结果表明，4种猝发抑制指标均随麻醉浓度的增加而变化，BSR和猝发幅度随异氟醚浓度的升高而增加，而猝发频率和抑制幅度随浓度的升高而降低，BSR是反映异氟醚浓度的最敏感、最一致的指标，是及时评价深麻醉下猝发抑制特性的有效工具。载气成分(纯氧与混合氧)对麻醉效果无明显影响，在异氟醚浓度为2%时，4项抑爆特性指标均能在60min内保持相对稳定。本研究提供了不同麻醉深度下突发抑制特征的定量信息，有助于开发一种临床满意的脑电特征量化系统，并对患者的脑状态进行严格评估。
The term "burst-suppression" is used to describe the electroencephalogram (EEG) pattern characterized by theta or delta waves, at times intermixed with faster waves, and intervening periods of relative quiescence. Burst-suppression pattern can reflect the seriously suppressed brain activity under deep anesthesia. To investigate the relationship between burst-suppression features and anesthetic concentration, we adopted four straightforward indexes, i. e., burst-suppression ratio (BSR), burst frequency, burst amplitude and suppression amplitude, and used them to analyze the EEG recordings in ten isoflurane-anesthetized rats. It was found that all the four burst-suppression indexes changed along with anesthetic concentration, that BSR and burst amplitude increased with higher concentration of isoflurane while burst frequency and suppression amplitude decreased, and that BSR was the most sensitive and consistent measurement to indicate isoflurane concentration so it constituted a valuable tool for timely evaluation of burst-suppression feature under deep anesthesia. The result also showed that the composition of carrier gas (i. e. pure oxygen vs. mixed oxygen) did not influence the effect of anesthesia significantly; and the four indexes of burst-suppression features could keep relatively stable within 60 min under the isoflurane concentration of 2%. The present study provides quantitative information of burst-suppression features under different anesthetic depth and may help to develop a clinically satisfied system that could quantify the characteristics of EEG and rigorously evaluate the cerebral state of patients.