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Changes in complexities and power spectrum of rat electroencephalogram under various anesthesia depth

机译:不同麻醉深度下大鼠脑电图复杂度和功率谱的变化

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The algorithmic complexity, the approximate entropy and the power spectrum of rat electroencephalogram (EEG) under different stages of anesthesia were calculated and analyzed. For synchronous EEGs, both complexity values decreased significantly with the development of anesthesia depth from light to deep. Although powers of synchronous EEG in high frequency bands of theta, alpha and beta gradually decreased, its total power and its power in delta band did not decrease until the deepest anesthesia. For de-synchronous EEGs, the complexity values did not change much with the development of anesthesia depth, and after the anesthesia was deep enough the de-synchronous EEGs would not appear any more, which indicated that the activities in the midbrain reticular formation had been inhibited. Powers of desynchronous EEG in high frequency bands of alpha and beta decreased gradually from light anesthesia stages. These findings suggest that more EEG features can be revealed by applying both methods of the complexity measures and the power spectral analysis.
机译:计算并分析了麻醉不同阶段大鼠脑电图(EEG)的算法复杂度,近似熵和功率谱。对于同步脑电图,随着麻醉深度从浅到深的发展,两个复杂度值都显着降低。尽管同步脑电图在θ,α和β的高频带中的功率逐渐降低,但其总功率和在δ频带中的功率直到麻醉最深时才下降。对于不同步的脑电图,复杂度值并没有随着麻醉深度的发展而改变,并且在麻醉深度足够深之后,不同步的脑电图再也不会出现,这表明中脑网状结构的活动已经发生。被抑制。从轻度麻醉阶段开始,α和β高频带中的不同步EEG的功率逐渐降低。这些发现表明,通过应用复杂度测量和功率谱分析这两种方法,可以揭示更多的脑电图特征。

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