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

Overview of attention for article published in Frontiers in Human Neuroscience, August 2018
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Title
Age-Related Differences in Pro-active Driving Behavior Revealed by EEG Measures
Published in
Frontiers in Human Neuroscience, August 2018
DOI 10.3389/fnhum.2018.00321
Pubmed ID
Authors

Stephan Getzmann, Stefan Arnau, Melanie Karthaus, Julian Elias Reiser, Edmund Wascher

Abstract

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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 15%
Researcher 9 15%
Student > Bachelor 6 10%
Student > Ph. D. Student 6 10%
Other 2 3%
Other 4 7%
Unknown 24 40%
Readers by discipline Count As %
Psychology 12 20%
Neuroscience 5 8%
Engineering 4 7%
Nursing and Health Professions 4 7%
Medicine and Dentistry 2 3%
Other 6 10%
Unknown 27 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 August 2018.
All research outputs
#20,530,891
of 23,100,534 outputs
Outputs from Frontiers in Human Neuroscience
#6,577
of 7,214 outputs
Outputs of similar age
#288,661
of 330,796 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#111
of 116 outputs
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