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Processing speed training increases the efficiency of attentional resource allocation in young adults

Overview of attention for article published in Frontiers in Human Neuroscience, January 2013
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Title
Processing speed training increases the efficiency of attentional resource allocation in young adults
Published in
Frontiers in Human Neuroscience, January 2013
DOI 10.3389/fnhum.2013.00684
Pubmed ID
Authors

Wesley K. Burge, Lesley A. Ross, Franklin R. Amthor, William G. Mitchell, Alexander Zotov, Kristina M. Visscher

Abstract

Cognitive training has been shown to improve performance on a range of tasks. However, the mechanisms underlying these improvements are still unclear. Given the wide range of transfer effects, it is likely that these effects are due to a factor common to a wide range of tasks. One such factor is a participant's efficiency in allocating limited cognitive resources. The impact of a cognitive training program, Processing Speed Training (PST), on the allocation of resources to a set of visual tasks was measured using pupillometry in 10 young adults as compared to a control group of a 10 young adults (n = 20). PST is a well-studied computerized training program that involves identifying simultaneously presented central and peripheral stimuli. As training progresses, the task becomes increasingly more difficult, by including peripheral distracting stimuli and decreasing the duration of stimulus presentation. Analysis of baseline data confirmed that pupil diameter reflected cognitive effort. After training, participants randomized to PST used fewer attentional resources to perform complex visual tasks as compared to the control group. These pupil diameter data indicated that PST appears to increase the efficiency of attentional resource allocation. Increases in cognitive efficiency have been hypothesized to underlie improvements following experience with action video games, and improved cognitive efficiency has been hypothesized to underlie the benefits of PST in older adults. These data reveal that these training schemes may share a common underlying mechanism of increasing cognitive efficiency in younger adults.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Germany 2 2%
Turkey 1 1%
Korea, Republic of 1 1%
Australia 1 1%
Japan 1 1%
Spain 1 1%
Unknown 78 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 17%
Student > Master 14 16%
Researcher 11 13%
Student > Doctoral Student 9 10%
Other 8 9%
Other 13 15%
Unknown 18 20%
Readers by discipline Count As %
Psychology 28 32%
Medicine and Dentistry 8 9%
Social Sciences 7 8%
Neuroscience 7 8%
Linguistics 2 2%
Other 12 14%
Unknown 24 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 28 October 2013.
All research outputs
#13,897,567
of 22,723,682 outputs
Outputs from Frontiers in Human Neuroscience
#4,299
of 7,131 outputs
Outputs of similar age
#164,422
of 280,763 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#576
of 862 outputs
Altmetric has tracked 22,723,682 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,131 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 280,763 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 862 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.