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Impact of brain arousal and time-on-task on autonomic nervous system activity in the wake-sleep transition

机译:脑唤醒和任务时间对唤醒睡眠过渡中自主神经系统活动的影响

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Autonomic nervous system (ANS) activity has been shown to vary with the state of brain arousal. In a previous study, this association of ANS activity with distinct states of brain arousal was demonstrated using 15-min EEG data, but without directly controlling for possible time-on-task effects. In the current study we examine ANS-activity in fine-graded EEG-vigilance stages (indicating states of brain arousal) during two conditions of a 2-h oddball task while controlling for time-on-task. In addition, we analyze the effect of time-on-task on ANS-activity while holding the level of brain arousal constant. Heart rate and skin conductance level of healthy participants were recorded during a 2-h EEG with eyes closed under simultaneous presentation of stimuli in an ignored (N?=?39) and attended (N?=?39) oddball condition. EEG-vigilance stages were classified using the Vigilance Algorithm Leipzig (VIGALL 2.1). The time-on-task effect was tested by dividing the EEG into four 30-min consecutive time blocks. ANS-activity was compared between EEG-vigilance stages across the entire 2?h and within each time block. We found a coherent decline of ANS-activity with declining brain arousal states, over the 2-h recording and in most cases within each 30-min block in both conditions. Furthermore, we found a significant time-on-task effect on heart rate, even when arousal was kept constant. It was most pronounced between the first and all subsequent blocks and could have been a consequence of postural change at the beginning of the experiment. Our findings contribute to the validation of VIGALL 2.1 using ANS parameters in 2-h EEG recording under oddball conditions.
机译:自主神经系统(ANS)的活动已显示出与大脑唤醒状态有关。在先前的研究中,使用15分钟的脑电图数据证明了ANS活性与大脑觉醒的不同状态之间的这种关联,但并未直接控制可能的工作时间效应。在当前的研究中,我们在2小时奇异球任务的两个条件下,同时控制任务时间,在精细的EEG警戒阶段(指示脑唤醒状态)中检查了ANS活动。此外,我们在保持大脑唤醒水平恒定的同时,分析了任务时间对ANS活动的影响。健康参与者的2小时脑电图记录了健康参与者的心率和皮肤电导水平,同时在无视(N?=?39)和参加(N?=?39)奇球状态下同时出现刺激时闭眼。使用警戒性莱比锡算法(VIGALL 2.1)对EEG警戒阶段进行分类。通过将EEG分为四个30分钟的连续时间块来测试任务执行时间效果。在整个2?h内和每个时间段内,在EEG警戒阶段之间比较ANS活性。我们发现,在2小时的记录中,在大多数情况下,在两种情况下,每30分钟内,ANS活性都会随着脑唤醒状态的下降而下降。此外,即使唤醒保持恒定,我们也发现工作时间对心率有显着影响。在第一个块和所有随后的块之间最明显,这可能是实验开始时姿势改变的结果。我们的发现有助于在奇数球条件下2小时脑电图记录中使用ANS参数验证VIGALL 2.1。

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