Liu Xinyang, Liu Juntao, Gai Shuping, Meyer Kristina, Xu Shengwei, Cai Xinxia
aState Key Laboratory of Transducer Technology, Institute of Electronics Chinese Academy of Sciences bUniversity of Chinese Academy of Sciences, Beijing, China cDepartment of Psychology, Ernst-Moritz-Arndt-Universität Greifswald, Greifswald, Germany.
Neuroreport. 2016 Sep 28;27(14):1031-6. doi: 10.1097/WNR.0000000000000651.
Prolonged periods of demanding cognitive tasks lead to an exhausted feeling known as mental fatigue. The neural underpinnings of mental fatigue are still under exploration. In the present study, we aimed to identify neurophysiological indicators of mental fatigue by studying the time-frequency distribution of the event-related potentials (ERPs) measured in N=26 adults in nonfatigued versus fatigued states. We were interested in the frontal theta and occipital alpha variations, which have shown consistent relationships with mental fatigue in previous studies. Furthermore, we expected differential changes in left and right electrodes, in line with previously detected lateralization effects in cognitive tasks. Mental fatigue was induced by a sustained two-back verbal visual memory task for 125 min and assessed using the Chalder Fatigue Scale. We applied a high-resolution time-frequency analysis method called smoothed pseudo Wigner Ville distribution and used regional integrals as indicators for changing trends of signal energy. Results showed an increase in ERP frontal theta energy (P=0.03) and a decrease in occipital alpha energy (P=0.028) when participants became mentally fatigued. The change in frontal theta was more pronounced in left electrode sites (P=0.032), hinting toward a differential fatigue effect in the two hemispheres. The results were discussed on the basis of previous lateralization studies with memory tasks and interpreted as an indicator of a causal relationship between the sustained task execution and the physiological changes. Our findings also suggest that the ERP signal energy variations in frontal theta and occipital alpha might be used as neural biomarkers to assess mental fatigue.
长时间进行高要求的认知任务会导致一种被称为精神疲劳的疲惫感。精神疲劳的神经基础仍在探索之中。在本研究中,我们旨在通过研究在26名成年人处于非疲劳状态和疲劳状态时测量的事件相关电位(ERP)的时频分布,来确定精神疲劳的神经生理指标。我们关注额叶θ波和枕叶α波的变化,在先前的研究中,这些变化与精神疲劳呈现出一致的关系。此外,我们预期左右电极会有不同的变化,这与先前在认知任务中检测到的偏侧化效应一致。通过持续125分钟的双任务言语视觉记忆任务诱导精神疲劳,并使用查尔德疲劳量表进行评估。我们应用了一种名为平滑伪维格纳维尔分布的高分辨率时频分析方法,并使用区域积分作为信号能量变化趋势的指标。结果显示,当参与者出现精神疲劳时,ERP额叶θ波能量增加(P = 0.03),枕叶α波能量减少(P = 0.028)。额叶θ波的变化在左侧电极部位更为明显(P = 0.032),这表明两个半球存在不同的疲劳效应。我们根据先前关于记忆任务的偏侧化研究对结果进行了讨论,并将其解释为持续任务执行与生理变化之间因果关系的一个指标。我们的研究结果还表明,额叶θ波和枕叶α波的ERP信号能量变化可能被用作评估精神疲劳的神经生物标志物。