Kayser Kylie C, Puig Vannia A, Estepp Justin R
Air Force Research Laboratory, Oak Ridge Institute for Science and Education, Wright-Patterson AFB, OH, United States.
711th Human Performance Wing, Air Force Research Laboratory, Wright-Patterson AFB, OH, United States.
Front Neurosci. 2022 Aug 5;16:930280. doi: 10.3389/fnins.2022.930280. eCollection 2022.
The deleterious effects of insufficient sleep have been well-established in the literature and can lead to a wide range of adverse health outcomes. Some of the most replicated findings demonstrate significant declines in cognitive functions such as vigilance and executive attention, psychomotor and cognitive speed, and working memory. Consequently, these decrements often lead individuals who are in a fatigued state to engage in substandard performance on everyday tasks. In the interest of curtailing these effects, prior work has attempted to identify mechanisms that predict fatigue onset and develop techniques to mitigate its negative consequences. Nonetheless, these results are often confounded by variables such as an individual's resistance to fatigue, sleep history, and unclear distinctions about whether certain performance decrements are present due to fatigue or due to other confounding factors. Similar areas of research have provided approaches to produce models for the prediction of cognitive performance decrements due to fatigue through the use of multi-modal recording and analysis of fatigue-related responses. Namely, gathering and combining response information from multiple sources (i.e., physiological and behavioral) at multiple timescales may provide a more comprehensive representation of what constitutes fatigue onset in the individual. Therefore, the purpose of this review is to discuss the relevant literature on the topic of fatigue-related performance effects with a special emphasis on a variety of physiological and behavioral response variables that have shown to be sensitive to changes in fatigue. Furthermore, an increasing reliance on sleep loss, meant to assist in meeting the demands of modern society, has led to an upsurge in the relevance of identifying dependable countermeasures for fatigued states. As such, we will also review methods for the mitigation of performance effects due to fatigue and discuss their usefulness in regulating these effects. In sum, this review aims to inspire future work that will create opportunities to detect fatigue and mitigate its effects prior to the onset of cognitive impairments.
睡眠不足的有害影响在文献中已得到充分证实,并可能导致一系列不良健康后果。一些最具重复性的研究结果表明,认知功能如警觉性和执行性注意力、心理运动和认知速度以及工作记忆会显著下降。因此,这些能力下降往往导致处于疲劳状态的个体在日常任务中的表现不佳。为了减少这些影响,先前的研究试图确定预测疲劳发作的机制,并开发减轻其负面后果的技术。然而,这些结果常常受到个体对疲劳的抵抗力、睡眠史等变量的混淆,以及对于某些表现下降是由于疲劳还是其他混杂因素导致的尚不清楚的区分的影响。类似的研究领域已经提供了通过使用多模态记录和分析与疲劳相关的反应来建立预测因疲劳导致的认知表现下降模型的方法。也就是说,在多个时间尺度上收集和组合来自多个来源(即生理和行为)的反应信息,可能会更全面地呈现个体疲劳发作的构成。因此,本综述的目的是讨论关于疲劳相关表现影响这一主题的相关文献,特别强调已被证明对疲劳变化敏感的各种生理和行为反应变量。此外,为了满足现代社会的需求,人们越来越依赖睡眠不足,这使得确定可靠的疲劳应对措施的相关性激增。因此,我们还将回顾减轻因疲劳导致的表现影响的方法,并讨论它们在调节这些影响方面的有用性。总之,本综述旨在激发未来的研究工作,为在认知障碍发作之前检测疲劳并减轻其影响创造机会。