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Gray matter volume is associated with rate of subsequent skill learning after a long term training intervention

Overview of attention for article published in NeuroImage, March 2014
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59

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

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6 news outlets
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16 X users
facebook
1 Facebook page

Citations

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81 Dimensions

Readers on

mendeley
261 Mendeley
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1 CiteULike
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Title
Gray matter volume is associated with rate of subsequent skill learning after a long term training intervention
Published in
NeuroImage, March 2014
DOI 10.1016/j.neuroimage.2014.03.056
Pubmed ID
Authors

Cassandra Sampaio-Baptista, Jan Scholz, Mark Jenkinson, Adam G. Thomas, Nicola Filippini, Gabrielle Smit, Gwenaëlle Douaud, Heidi Johansen-Berg

Abstract

The ability to predict learning performance from brain imaging data has implications for selecting individuals for training or rehabilitation interventions. Here, we used structural MRI to test whether baseline variations in gray matter (GM) volume correlated with subsequent performance after a long-term training of a complex whole-body task. 44 naïve participants were scanned before undertaking daily juggling practice for 6weeks, following either a high intensity or a low intensity training regime. To assess performance across the training period participants' practice sessions were filmed. Greater GM volume in medial occipito-parietal areas at baseline correlated with steeper learning slopes. We also tested whether practice time or performance outcomes modulated the degree of structural brain change detected between the baseline scan and additional scans performed immediately after training and following a further 4weeks without training. Participants with better performance had higher increases in GM volume during the period following training (i.e., between scans 2 and 3) in dorsal parietal cortex and M1. When contrasting brain changes between the practice intensity groups, we did not find any straightforward effects of practice time though practice modulated the relationship between performance and GM volume change in dorsolateral prefrontal cortex. These results suggest that practice time and performance modulate the degree of structural brain change evoked by long-term training regimes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 261 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 1%
Netherlands 2 <1%
Spain 2 <1%
Japan 2 <1%
Israel 1 <1%
Denmark 1 <1%
Austria 1 <1%
Belgium 1 <1%
United States 1 <1%
Other 0 0%
Unknown 247 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 20%
Researcher 42 16%
Student > Master 30 11%
Student > Bachelor 23 9%
Student > Doctoral Student 15 6%
Other 49 19%
Unknown 51 20%
Readers by discipline Count As %
Neuroscience 53 20%
Psychology 33 13%
Medicine and Dentistry 24 9%
Agricultural and Biological Sciences 22 8%
Sports and Recreations 17 7%
Other 49 19%
Unknown 63 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 59. 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 24 January 2019.
All research outputs
#719,496
of 25,374,917 outputs
Outputs from NeuroImage
#350
of 12,205 outputs
Outputs of similar age
#6,596
of 238,075 outputs
Outputs of similar age from NeuroImage
#8
of 147 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,205 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has done particularly well, scoring higher than 97% 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 238,075 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 97% of its contemporaries.
We're also able to compare this research output to 147 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.