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Working Memory Load-Dependent Brain Response Predicts Behavioral Training Gains in Older Adults

Overview of attention for article published in Journal of Neuroscience, January 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

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4 X users
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1 Wikipedia page

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Title
Working Memory Load-Dependent Brain Response Predicts Behavioral Training Gains in Older Adults
Published in
Journal of Neuroscience, January 2014
DOI 10.1523/jneurosci.2463-13.2014
Pubmed ID
Authors

Stephan Heinzel, Robert C. Lorenz, Wolf-Rüdiger Brockhaus, Torsten Wüstenberg, Norbert Kathmann, Andreas Heinz, Michael A. Rapp

Abstract

In the domain of working memory (WM), a sigmoid-shaped relationship between WM load and brain activation patterns has been demonstrated in younger adults. It has been suggested that age-related alterations of this pattern are associated with changes in neural efficiency and capacity. At the same time, WM training studies have shown that some older adults are able to increase their WM performance through training. In this study, functional magnetic resonance imaging during an n-back WM task at different WM load levels was applied to compare blood oxygen level-dependent (BOLD) responses between younger and older participants and to predict gains in WM performance after a subsequent 12-session WM training procedure in older adults. We show that increased neural efficiency and capacity, as reflected by more "youth-like" brain response patterns in regions of interest of the frontoparietal WM network, were associated with better behavioral training outcome beyond the effects of age, sex, education, gray matter volume, and baseline WM performance. Furthermore, at low difficulty levels, decreases in BOLD response were found after WM training. Results indicate that both neural efficiency (i.e., decreased activation at comparable performance levels) and capacity (i.e., increasing activation with increasing WM load) of a WM-related network predict plasticity of the WM system, whereas WM training may specifically increase neural efficiency in older adults.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 205 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Poland 2 <1%
United Kingdom 2 <1%
United States 2 <1%
Israel 1 <1%
Australia 1 <1%
Korea, Republic of 1 <1%
Germany 1 <1%
Belgium 1 <1%
Spain 1 <1%
Other 0 0%
Unknown 193 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 25%
Researcher 33 16%
Student > Master 31 15%
Student > Doctoral Student 18 9%
Student > Bachelor 14 7%
Other 27 13%
Unknown 31 15%
Readers by discipline Count As %
Psychology 86 42%
Neuroscience 27 13%
Medicine and Dentistry 9 4%
Agricultural and Biological Sciences 8 4%
Engineering 8 4%
Other 19 9%
Unknown 48 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 05 January 2023.
All research outputs
#4,652,729
of 23,495,502 outputs
Outputs from Journal of Neuroscience
#7,362
of 23,449 outputs
Outputs of similar age
#55,692
of 309,252 outputs
Outputs of similar age from Journal of Neuroscience
#91
of 278 outputs
Altmetric has tracked 23,495,502 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 23,449 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one has gotten more attention than average, scoring higher than 68% 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 309,252 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 81% of its contemporaries.
We're also able to compare this research output to 278 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 67% of its contemporaries.