Evidence map›Paper›PMID 30131687›Full record

ArticleFrontiers in human neuroscience2018

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

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

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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  5. Simulated driving behavior over the adult age span.Frontiers in aging neuroscience · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Stephan GetzmannLeibniz Research Centre for Working Environment and Human Factors, Technical University of Dortmund, Dortmund, Germany.
Stefan ArnauLeibniz Research Centre for Working Environment and Human Factors, Technical University of Dortmund, Dortmund, Germany.
Melanie KarthausLeibniz Research Centre for Working Environment and Human Factors, Technical University of Dortmund, Dortmund, Germany.
Julian Elias ReiserLeibniz Research Centre for Working Environment and Human Factors, Technical University of Dortmund, Dortmund, Germany.
Edmund WascherLeibniz Research Centre for Working Environment and Human Factors, Technical University of Dortmund, Dortmund, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

agingalpha oscillationsEEGevent-related potentialsmental effortproactive drivingtheta oscillationsworkload

Identifiers

PMID30131687
PMCPMC6090568

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.