Suppr超能文献

清醒 qEEG 评估模拟值班条件下的心理生理应激和警觉性。

Waking qEEG to assess psychophysiological stress and alertness during simulated on-call conditions.

机构信息

University of South Australia, Centre for Cancer Biology, School of Pharmacy and Medical Sciences, Adelaide, SA, Australia; Central Queensland University, Appleton Institute, School of Health, Medical and Applied Sciences, Wayville, SA, Australia.

Central Queensland University, Appleton Institute, School of Health, Medical and Applied Sciences, Wayville, SA, Australia.

出版信息

Int J Psychophysiol. 2019 Jul;141:93-100. doi: 10.1016/j.ijpsycho.2019.04.001. Epub 2019 Apr 10.

Abstract

INTRODUCTION

On-call schedules are associated with stress and disrupted sleep. In a recent study, under non-sleep deprived conditions, low and high-stress on-call conditions did not significantly impact sleep quality but did impact next day performance. Our aim was to determine whether quantitative electroencephalography (qEEG) would reflect changes in cortical activity in on-call conditions, predicting that the high-stress condition would display faster qEEG frequencies compared with the control and low-stress condition.

METHODS

Twenty-four healthy male participants (age: 26.5 ± 4.0 yrs) spent four nights in a time-isolated sleep laboratory. The within-subjects, repeated measures experimental design assessed waking EEG, via the Karolinska Drowsiness Test (KDT) during four time-points across a control day and two experimental (on-call) days. Experimental days comprised a low-stress (LS - reading task) and high-stress (HS - speech task) condition and were counterbalanced. Mixed-models analysis was used to assess condition and time by EEG biomarkers: Alpha Attenuation Coefficient (AAC), Slowing Ratio (SR) and Scaling Exponent (SE).

RESULTS

Main effects were found for all three biomarkers by condition, with pairwise analysis reported. There was a significant difference in AAC between the LS condition (M = 1.26 ± =1.24) and HS condition (M = 1.01 ± 0.76 p = .02) indicating decreased alertness between LS and HS. A significant increase in SR between control (M = 7.1 ± 4.3) and LS (M = 10.1 ± 8.5 p = .0001), and a significant increase between the LS and HS (M = 7.8 ± 6.8 p = .018) showing greatest EEG slowing in the LS condition, reflecting of a passive, sleepier brain state. The SE was significantly higher in the LS (M = 1.09, ±0.17) condition compared with control (M = 1.0, ±0.11 p = .001) indicating decreased alertness in the LS task.

DISCUSSION

Using qEEG biomarkers, in contrast with our initial hypothesis, the current study found that compared with control, the LS condition resulted in greater EEG slowing. These findings have implications for on-call workers who engage in periods of passive attention and highlight a protective role task stress may play in maintaining alertness levels during on-call conditions.

摘要

简介

值班安排与压力和睡眠中断有关。在最近的一项研究中,在非睡眠剥夺的情况下,低压力和高压力的值班条件并没有显著影响睡眠质量,但确实影响了第二天的表现。我们的目的是确定定量脑电图(qEEG)是否会反映值班条件下皮质活动的变化,并预测高压力条件下的 qEEG 频率会比对照和低压力条件下更快。

方法

24 名健康男性参与者(年龄:26.5±4.0 岁)在一个时间隔离的睡眠实验室中度过了四个晚上。采用内被试、重复测量实验设计,通过卡罗林斯卡困倦测试(KDT)在对照日和两个实验日(值班日)的四个时间点评估清醒时的脑电图。实验日包括低压力(LS-阅读任务)和高压力(HS-演讲任务)条件,并进行了平衡。混合模型分析用于评估条件和时间的 EEG 生物标志物:alpha 衰减系数(AAC)、减速比(SR)和标度指数(SE)。

结果

所有三种生物标志物的条件均存在主效应,报告了两两分析的结果。LS 条件(M=1.26±=1.24)和 HS 条件(M=1.01±=0.76,p=0.02)之间的 AAC 存在显著差异,表明 LS 和 HS 之间警觉性降低。LS 条件(M=7.1±4.3)和 LS 条件(M=10.1±8.5,p=0.0001)之间的 SR 显著增加,LS 和 HS 之间(M=7.8±6.8,p=0.018)显著增加,表明 LS 条件下的 EEG 减速最大,反映出被动、更困倦的大脑状态。LS 条件下的 SE(M=1.09,±0.17)显著高于对照条件(M=1.0,±0.11,p=0.001),表明 LS 任务中的警觉性降低。

讨论

与我们最初的假设相反,使用 qEEG 生物标志物,本研究发现与对照相比,LS 条件导致更大的 EEG 减速。这些发现对值班人员有影响,他们从事被动注意力的工作,并强调任务压力在值班期间保持警觉水平方面可能发挥的保护作用。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验