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Mental Training as a Tool in the Neuroscientific Study of Brain and Cognitive Plasticity

Overview of attention for article published in Frontiers in Human Neuroscience, January 2011
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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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user
facebook
1 Facebook page
wikipedia
4 Wikipedia pages
googleplus
3 Google+ users

Citations

dimensions_citation
213 Dimensions

Readers on

mendeley
642 Mendeley
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Title
Mental Training as a Tool in the Neuroscientific Study of Brain and Cognitive Plasticity
Published in
Frontiers in Human Neuroscience, January 2011
DOI 10.3389/fnhum.2011.00017
Pubmed ID
Authors

Heleen A. Slagter, Richard J. Davidson, Antoine Lutz

Abstract

Although the adult brain was once seen as a rather static organ, it is now clear that the organization of brain circuitry is constantly changing as a function of experience or learning. Yet, research also shows that learning is often specific to the trained stimuli and task, and does not improve performance on novel tasks, even very similar ones. This perspective examines the idea that systematic mental training, as cultivated by meditation, can induce learning that is not stimulus or task specific, but process specific. Many meditation practices are explicitly designed to enhance specific, well-defined core cognitive processes. We will argue that this focus on enhancing core cognitive processes, as well as several general characteristics of meditation regimens, may specifically foster process-specific learning. To this end, we first define meditation and discuss key findings from recent neuroimaging studies of meditation. We then identify several characteristics of specific meditation training regimes that may determine process-specific learning. These characteristics include ongoing variability in stimulus input, the meta-cognitive nature of the processes trained, task difficulty, the focus on maintaining an optimal level of arousal, and the duration of training. Lastly, we discuss the methodological challenges that researchers face when attempting to control or characterize the multiple factors that may underlie meditation training effects.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 642 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 15 2%
Netherlands 5 <1%
Germany 5 <1%
Brazil 5 <1%
Australia 3 <1%
Spain 3 <1%
Switzerland 2 <1%
Sweden 2 <1%
Italy 1 <1%
Other 9 1%
Unknown 592 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 137 21%
Student > Master 110 17%
Researcher 98 15%
Student > Bachelor 55 9%
Professor > Associate Professor 37 6%
Other 140 22%
Unknown 65 10%
Readers by discipline Count As %
Psychology 253 39%
Medicine and Dentistry 74 12%
Agricultural and Biological Sciences 53 8%
Neuroscience 43 7%
Social Sciences 38 6%
Other 88 14%
Unknown 93 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 26 January 2021.
All research outputs
#1,756,304
of 22,675,759 outputs
Outputs from Frontiers in Human Neuroscience
#873
of 7,114 outputs
Outputs of similar age
#10,090
of 180,328 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#17
of 118 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,114 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. 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 180,328 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 94% of its contemporaries.
We're also able to compare this research output to 118 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.