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不同疲劳水平对驾驶中脑-行为关系的影响。

The effects of different fatigue levels on brain-behavior relationships in driving.

机构信息

Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan.

Brain Research Center, National Chiao Tung University, Hsinchu, Taiwan.

出版信息

Brain Behav. 2019 Dec;9(12):e01379. doi: 10.1002/brb3.1379. Epub 2019 Sep 30.

Abstract

BACKGROUND

In the past decade, fatigue has been regarded as one of the main factors impairing task performance and increasing behavioral lapses during driving, even leading to fatal car crashes. Although previous studies have explored the impact of acute fatigue through electroencephalography (EEG) signals, it is still unclear how different fatigue levels affect brain-behavior relationships.

METHODS

A longitudinal study was performed to investigate the brain dynamics and behavioral changes in individuals under different fatigue levels by a sustained attention task. This study used questionnaires in combination with actigraphy, a noninvasive means of monitoring human physiological activity cycles, to conduct longitudinal assessment and tracking of the objective and subjective fatigue levels of recruited participants. In this study, degrees of effectiveness score (fatigue rating) are divided into three levels (normal, reduced, and high risk) by the SAFTE fatigue model.

RESULTS

Results showed that those objective and subjective indicators were negatively correlated to behavioral performance. In addition, increased response times were accompanied by increased alpha and theta power in most brain regions, especially the posterior regions. In particular, the theta and alpha power dramatically increased in the high-fatigue (high-risk) group. Additionally, the alpha power of the occipital regions showed an inverted U-shaped change.

CONCLUSION

Our results help to explain the inconsistent findings among existing studies, which considered the effects of only acute fatigue on driving performance while ignoring different levels of resident fatigue, and potentially lead to practical and precise biomathematical models to better predict the performance of human operators.

摘要

背景

在过去的十年中,疲劳已被视为影响驾驶任务表现和增加行为失误的主要因素之一,甚至导致致命车祸。尽管先前的研究已经通过脑电图(EEG)信号探讨了急性疲劳的影响,但不同的疲劳水平如何影响大脑-行为关系仍不清楚。

方法

通过持续注意力任务进行了一项纵向研究,以调查不同疲劳水平下个体的大脑动态和行为变化。该研究使用问卷结合活动记录仪(一种监测人体生理活动周期的非侵入性手段)对招募参与者的客观和主观疲劳水平进行纵向评估和跟踪。在这项研究中,根据 SAFTE 疲劳模型,将有效性得分(疲劳等级)分为三个等级(正常、降低和高风险)。

结果

结果表明,这些客观和主观指标与行为表现呈负相关。此外,反应时间的增加伴随着大多数脑区(尤其是后区)alpha 和 theta 功率的增加。特别是在高疲劳(高风险)组中,theta 和 alpha 功率显著增加。此外,枕叶区域的 alpha 功率呈倒 U 形变化。

结论

我们的结果有助于解释现有研究中不一致的发现,这些研究仅考虑了急性疲劳对驾驶性能的影响,而忽略了不同程度的常驻疲劳,并且可能导致实用和精确的生物数学模型,以更好地预测人类操作员的表现。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9c1/6908862/cea4299eb0d3/BRB3-9-e01379-g001.jpg

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