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A neurophysiological approach for evaluating noise-induced sleep disturbance: Calculating the time constant of the dynamic characteristics in the brainstem

机译:一种评估噪声引起的睡眠障碍的神经生理学方法:计算脑干动态特征的时间常数

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摘要

Chronic sleep disturbance induced by traffic noise is considered to cause environmental sleep disorder, which increases the risk of cardiovascular disease, stroke, diabetes and other stress-related diseases. However, noise indices for the evaluation of sleep disturbance are not based on the neurophysiological process of awakening regulated by the brainstem. In this study, through the neurophysiological approach, we attempted (1) to investigate the thresholds of awakening due to external stimuli in the brainstem; (2) to evaluate the dynamic characteristics in the brainstem and (3) to verify the validity of existing noise indices. Using the mathematical Phillips–Robinson model, we obtained thresholds of awakening in the brainstem for different durations of external stimuli. The analysis revealed that the brainstem seemed insensitive to short stimuli and that the response to external stimuli in the brainstem could be approximated by a first-order lag system with a time constant of 10–100 s. These results suggest that the brainstem did not integrate sound energy as external stimuli, but neuroelectrical signals from auditory nerve. To understand the awakening risk accumulated in the brainstem, we introduced a new concept of “awakening potential” instead of sound energy.
机译:交通噪音引起的慢性睡眠障碍被认为会导致环境睡眠障碍,从而增加患心血管疾病,中风,糖尿病和其他与压力有关的疾病的风险。但是,用于评估睡眠障碍的噪声指数并非基于脑干调节的觉醒的神经生理过程。在这项研究中,我们通过神经生理学方法,尝试(1)研究由于脑干外部刺激引起的觉醒阈值; (2)评估脑干的动态特性,(3)验证现有噪声指标的有效性。使用数学菲利普斯-罗宾逊模型,我们获得了在不同持续时间的外部刺激下脑干中觉醒的阈值。分析表明,脑干对短刺激似乎不敏感,并且对脑干中外部刺激的反应可以通过一阶滞后系统来近似,其时间常数为10-100 s。这些结果表明,脑干并未整合声能作为外部刺激,而是整合了来自听觉神经的神经电信号。为了了解脑干中积累的觉醒风险,我们引入了“觉醒潜力”而不是声能的新概念。

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