↓ Skip to main content

Prefrontal Cortex Structure Predicts Training-Induced Improvements in Multitasking Performance

Overview of attention for article published in Journal of Neuroscience, March 2016
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
21 X users
facebook
1 Facebook page

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
134 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Prefrontal Cortex Structure Predicts Training-Induced Improvements in Multitasking Performance
Published in
Journal of Neuroscience, March 2016
DOI 10.1523/jneurosci.3410-15.2016
Pubmed ID
Authors

Ashika Verghese, K.G. Garner, Jason B. Mattingley, Paul E. Dux

Abstract

The ability to perform multiple, concurrent tasks efficiently is a much-desired cognitive skill, but one that remains elusive due to the brain's inherent information-processing limitations. Multitasking performance can, however, be greatly improved through cognitive training (Van Selst et al., 1999, Dux et al., 2009). Previous studies have examined how patterns of brain activity change following training (for review, see Kelly and Garavan, 2005). Here, in a large-scale human behavioral and imaging study of 100 healthy adults, we tested whether multitasking training benefits, assessed using a standard dual-task paradigm, are associated with variability in brain structure. We found that the volume of the rostral part of the left dorsolateral prefrontal cortex (DLPFC) predicted an individual's response to training. Critically, this association was observed exclusively in a task-specific training group, and not in an active-training control group. Our findings reveal a link between DLPFC structure and an individual's propensity to gain from training on a task that taps the limits of cognitive control. Cognitive "brain" training is a rapidly growing, multibillion dollar industry (Hayden, 2012) that has been touted as the panacea for a variety of disorders that result in cognitive decline. A key process targeted by such training is "cognitive control." Here, we combined an established cognitive control measure, multitasking ability, with structural brain imaging in a sample of 100 participants. Our goal was to determine whether individual differences in brain structure predict the extent to which people derive measurable benefits from a cognitive training regime. Ours is the first study to identify a structural brain marker-volume of left hemisphere dorsolateral prefrontal cortex-associated with the magnitude of multitasking performance benefits induced by training at an individual level.

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
China 1 <1%
Italy 1 <1%
Unknown 131 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 22%
Researcher 22 16%
Student > Master 18 13%
Student > Bachelor 14 10%
Professor 6 4%
Other 20 15%
Unknown 25 19%
Readers by discipline Count As %
Psychology 37 28%
Neuroscience 29 22%
Medicine and Dentistry 11 8%
Agricultural and Biological Sciences 7 5%
Sports and Recreations 6 4%
Other 14 10%
Unknown 30 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 17 August 2016.
All research outputs
#2,696,446
of 25,312,451 outputs
Outputs from Journal of Neuroscience
#4,391
of 24,088 outputs
Outputs of similar age
#40,921
of 305,330 outputs
Outputs of similar age from Journal of Neuroscience
#96
of 323 outputs
Altmetric has tracked 25,312,451 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 24,088 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one has done well, scoring higher than 81% of its peers.
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 305,330 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 323 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.