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Age-Related Differences in Pro-active Driving Behavior Revealed by EEG Measures

机译:脑电测量法揭示的主动驾驶行为中与年龄有关的差异

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摘要

Healthy aging is associated with a decline in cognitive functions. This may become an issue when complex tasks have to be performed like driving a car in a demanding traffic situation. On the other hand, older people are able to compensate for age-related deficits, e.g., by deploying extra mental effort and other compensatory strategies. The present study investigated the interplay of age, task workload, and mental effort using EEG measures and a proactive driving task, in which 16 younger and 16 older participants had to keep a virtual car on track on a curvy road. Total oscillatory power and relative power in Theta and Alpha bands were analyzed, as well as event-related potentials (ERPs) to task-irrelevant regular and irregular sound stimuli. Steering variability and Theta power increased with increasing task load (i.e., with shaper bends of the road), while Alpha power decreased. This pattern of workload and mental effort was found in both age groups. However, only in the older group a relationship between steering variability and Theta power occurred: better steering performance was associated with higher Theta power, reflecting higher mental effort. Higher Theta power while driving was also associated with a stronger increase in reported subjective fatigue in the older group. In the younger group, lower steering variability came along with lower ERP responses to deviant sound stimuli, reflecting reduced processing of task-irrelevant environmental stimuli. In sum, better performance in proactive driving (i.e., more alert steering behavior) was associated with increased mental effort in the older group, and higher attentional focus on the task in the younger group, indicating age-specific strategies in the way younger and older drivers manage demanding (driving) tasks.
机译:健康的衰老与认知功能下降有关。当必须执行复杂的任务(例如在交通繁忙的情况下驾驶汽车)时,这可能会成为问题。另一方面,老年人能够例如通过部署额外的精神努力和其他补偿策略来补偿与年龄有关的缺陷。本研究使用EEG措施和主动驾驶任务调查了年龄,任务工作量和脑力劳动之间的相互作用,其中16名年轻和16名年龄较大的参与者必须在弯曲的道路上保持虚拟汽车的行驶轨迹。分析了Theta和Alpha波段的总振荡功率和相对功率,以及与任务无关的规则和不规则声音刺激的事件相关电位(ERP)。转向可变性和Theta功率随任务负载的增加而增加(即随着整形弯道),而Alpha功率则减小。在两个年龄组中都发现了这种工作量和脑力劳动模式。然而,只有在较年长的组中,转向可变性和Theta力量之间才发生关系:更好的转向性能与更高的Theta力量相关,这反映出更高的智力。驾驶时较高的Theta功率还与老年人组中报告的主观疲劳强度的增加有关联。在较年轻的组中,较低的转向可变性以及较低的ERP对异常声音刺激的响应,反映出与任务无关的环境刺激的处理减少。总而言之,在较年长的组中,主动驾驶中更好的性能(即,更警觉的转向行为)与增加的脑力相关,并且在较年轻的组中,对注意力的集中度更高,这表明了针对特定年龄段的策略,年龄越来越大驾驶员管理要求苛刻的(驾驶)任务。

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