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Training conquers multitasking costs by dividing task representations in the frontoparietal-subcortical system

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, October 2015
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

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5 news outlets
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19 X users
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2 Facebook pages
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6 Google+ users

Citations

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55 Dimensions

Readers on

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127 Mendeley
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Title
Training conquers multitasking costs by dividing task representations in the frontoparietal-subcortical system
Published in
Proceedings of the National Academy of Sciences of the United States of America, October 2015
DOI 10.1073/pnas.1511423112
Pubmed ID
Authors

K G Garner, Paul E Dux

Abstract

Negotiating the information-rich sensory world often requires the concurrent management of multiple tasks. Despite this requirement, humans are thought to be poor at multitasking because of the processing limitations of frontoparietal and subcortical (FP-SC) brain regions. Although training is known to improve multitasking performance, it is unknown how the FP-SC system functionally changes to support improved multitasking. To address this question, we characterized the FP-SC changes that predict training outcomes using an individual differences approach. Participants (n = 100) performed single and multiple tasks in pre- and posttraining magnetic resonance imaging (fMRI) sessions interspersed by either a multitasking or an active-control training regimen. Multivoxel pattern analyses (MVPA) revealed that training induced multitasking improvements were predicted by divergence in the FP-SC blood oxygen level-dependent (BOLD) response patterns to the trained tasks. Importantly, this finding was only observed for participants who completed training on the component (single) tasks and their combination (multitask) and not for the control group. Therefore, the FP-SC system supports multitasking behavior by segregating constituent task representations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 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 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Sweden 2 2%
Germany 1 <1%
Unknown 122 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 25%
Student > Ph. D. Student 25 20%
Student > Master 14 11%
Student > Bachelor 11 9%
Professor 7 6%
Other 16 13%
Unknown 22 17%
Readers by discipline Count As %
Psychology 50 39%
Neuroscience 25 20%
Agricultural and Biological Sciences 7 6%
Medicine and Dentistry 6 5%
Nursing and Health Professions 3 2%
Other 11 9%
Unknown 25 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 52. 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 March 2021.
All research outputs
#811,007
of 25,339,932 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#13,174
of 102,781 outputs
Outputs of similar age
#11,744
of 286,062 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#265
of 899 outputs
Altmetric has tracked 25,339,932 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 102,781 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.3. This one has done well, scoring higher than 87% 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 286,062 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 899 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.