Hashemi Meysam, Hutt Axel, Hight Darren, Sleigh Jamie
INRIA Grand Est - Nancy, Team NEUROSYS, Villers-lès-Nancy, France.
CNRS, Loria, UMR nō 7503, Vandoeuvre-lès-Nancy, France.
PLoS One. 2017 Jun 16;12(6):e0179286. doi: 10.1371/journal.pone.0179286. eCollection 2017.
In recent years, more and more surgeries under general anesthesia have been performed with the assistance of electroencephalogram (EEG) monitors. An increase in anesthetic concentration leads to characteristic changes in the power spectra of the EEG. Although tracking the anesthetic-induced changes in EEG rhythms can be employed to estimate the depth of anesthesia, their precise underlying mechanisms are still unknown. A prominent feature in the EEG of some patients is the emergence of a strong power peak in the β-frequency band, which moves to the α-frequency band while increasing the anesthetic concentration. This feature is called the beta-buzz. In the present study, we use a thalamo-cortical neural population feedback model to reproduce observed characteristic features in frontal EEG power obtained experimentally during propofol general anesthesia, such as this beta-buzz. First, we find that the spectral power peak in the α- and δ-frequency ranges depend on the decay rate constant of excitatory and inhibitory synapses, but the anesthetic action on synapses does not explain the beta-buzz. Moreover, considering the action of propofol on the transmission delay between cortex and thalamus, the model reveals that the beta-buzz may result from a prolongation of the transmission delay by increasing propofol concentration. A corresponding relationship between transmission delay and anesthetic blood concentration is derived. Finally, an analytical stability study demonstrates that increasing propofol concentration moves the systems resting state towards its stability threshold.
近年来,越来越多的全身麻醉手术在脑电图(EEG)监测的辅助下进行。麻醉浓度的增加会导致脑电图功率谱发生特征性变化。虽然追踪麻醉引起的脑电图节律变化可用于估计麻醉深度,但其确切的潜在机制仍不清楚。一些患者脑电图的一个突出特征是在β频段出现一个强功率峰值,在增加麻醉浓度时该峰值会移至α频段。这一特征被称为β波嗡鸣。在本研究中,我们使用丘脑 - 皮质神经群体反馈模型来重现丙泊酚全身麻醉期间实验观察到的额叶脑电图功率的特征,比如这种β波嗡鸣。首先,我们发现α和δ频率范围内的频谱功率峰值取决于兴奋性和抑制性突触的衰减速率常数,但麻醉对突触的作用并不能解释β波嗡鸣。此外,考虑到丙泊酚对皮质和丘脑之间传输延迟的作用,该模型表明β波嗡鸣可能是由于丙泊酚浓度增加导致传输延迟延长所致。得出了传输延迟与麻醉血药浓度之间的对应关系。最后,一项分析稳定性研究表明,增加丙泊酚浓度会使系统的静息状态朝着其稳定阈值移动。