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通过将脑电图频谱分解为其周期性和非周期性成分来揭示丙泊酚诱导意识丧失的与年龄无关的频谱标志物。

Unveiling age-independent spectral markers of propofol-induced loss of consciousness by decomposing the electroencephalographic spectrum into its periodic and aperiodic components.

作者信息

Leroy Sophie, Major Sebastian, Bublitz Viktor, Dreier Jens P, Koch Susanne

机构信息

Department of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.

Center for Stroke Research Berlin, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.

出版信息

Front Aging Neurosci. 2023 Jan 18;14:1076393. doi: 10.3389/fnagi.2022.1076393. eCollection 2022.

Abstract

BACKGROUND

Induction of general anesthesia with propofol induces radical changes in cortical network organization, leading to unconsciousness. While perioperative frontal electroencephalography (EEG) has been widely implemented in the past decades, validated and age-independent EEG markers for the timepoint of loss of consciousness (LOC) are lacking. Especially the appearance of spatially coherent frontal alpha oscillations (8-12 Hz) marks the transition to unconsciousness.Here we explored whether decomposing the EEG spectrum into its periodic and aperiodic components unveiled markers of LOC and investigated their age-dependency. We further characterized the LOC-associated alpha oscillations by parametrizing the adjusted power over the aperiodic component, the center frequency, and the bandwidth of the peak in the alpha range.

METHODS

In this prospective observational trial, EEG were recorded in a young (18-30 years) and an elderly age-cohort (≥ 70 years) over the transition to propofol-induced unconsciousness. An event marker was set in the EEG recordings at the timepoint of LOC, defined with the suppression of the lid closure reflex. Spectral analysis was conducted with the multitaper method. Aperiodic and periodic components were parametrized with the FOOOF toolbox. Aperiodic parametrization comprised the exponent and the offset. The periodic parametrization consisted in the characterization of the peak in the alpha range with its adjusted power, center frequency and bandwidth. Three time-segments were defined: preLOC (105 - 75 s before LOC), LOC (15 s before to 15 s after LOC), postLOC (190 - 220 s after LOC). Statistical significance was determined with a repeated-measures ANOVA.

RESULTS

Loss of consciousness was associated with an increase in the aperiodic exponent (young:  = 0.004, elderly:  = 0.007) and offset (young:  = 0.020, elderly:  = 0.004) as well as an increase in the adjusted power (young:  < 0.001, elderly  = 0.011) and center frequency (young:  = 0.008, elderly:  < 0.001) of the periodic alpha peak. We saw age-related differences in the aperiodic exponent and offset after LOC as well as in the power and bandwidth of the periodic alpha peak during LOC.

CONCLUSION

Decomposing the EEG spectrum over induction of anesthesia into its periodic and aperiodic components unveiled novel age-independent EEG markers of propofol-induced LOC: the aperiodic exponent and offset as well as the center frequency and adjusted power of the power peak in the alpha range.

摘要

背景

丙泊酚诱导全身麻醉会引起皮质网络组织的剧烈变化,导致意识丧失。在过去几十年中,围手术期额叶脑电图(EEG)已得到广泛应用,但目前缺乏针对意识丧失(LOC)时间点的经过验证且与年龄无关的EEG标志物。特别是空间相干额叶α振荡(8 - 12Hz)的出现标志着向无意识状态的转变。在此,我们探讨将EEG频谱分解为其周期性和非周期性成分是否能揭示LOC的标志物,并研究它们的年龄依赖性。我们还通过对非周期性成分上的调整功率、中心频率以及α范围内峰值的带宽进行参数化,进一步表征了与LOC相关的α振荡。

方法

在这项前瞻性观察试验中,在年轻(18 - 30岁)和老年(≥70岁)队列中记录了丙泊酚诱导无意识过程中的EEG。在EEG记录中,以眼睑闭合反射的抑制来定义LOC时间点,并设置事件标记。采用多 taper 方法进行频谱分析。使用FOOOF工具箱对非周期性和周期性成分进行参数化。非周期性参数化包括指数和偏移量。周期性参数化包括通过调整功率、中心频率和带宽来表征α范围内的峰值。定义了三个时间段:LOC前(LOC前105 - 75秒)、LOC期间(LOC前15秒至LOC后15秒)、LOC后(LOC后190 - 220秒)。采用重复测量方差分析确定统计学意义。

结果

意识丧失与非周期性指数(年轻组:= 0.004,老年组:= 0.007)和偏移量(年轻组:= 0.020,老年组:= 0.004)的增加以及周期性α峰值的调整功率(年轻组:< 0.001,老年组 = 0.011)和中心频率(年轻组:= 0.008,老年组:< 0.001)的增加有关。我们观察到LOC后非周期性指数和偏移量以及LOC期间周期性α峰值的功率和带宽存在年龄相关差异。

结论

将麻醉诱导过程中的EEG频谱分解为其周期性和非周期性成分,揭示了丙泊酚诱导LOC的新的与年龄无关的EEG标志物:非周期性指数和偏移量以及α范围内功率峰值的中心频率和调整功率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e85f/9889977/e4c98da3d41c/fnagi-14-1076393-g001.jpg

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