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Age-Related Task Sensitivity of Frontal EEG Entropy During Encoding Predicts Retrieval

Overview of attention for article published in Brain Topography, March 2013
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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 (83rd percentile)

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Title
Age-Related Task Sensitivity of Frontal EEG Entropy During Encoding Predicts Retrieval
Published in
Brain Topography, March 2013
DOI 10.1007/s10548-013-0278-x
Pubmed ID
Authors

Denis O’Hora, Stefan Schinkel, Michael J. Hogan, Liam Kilmartin, Michael Keane, Robert Lai, Neil Upton

Abstract

Age-related declines in memory may be due in part to changes in the complexity of neural activity in the aging brain. Electrophysiological entropy provides an accessible measure of the complexity of ongoing neural activity. In the current study, we calculated the permutation entropy of the electroencephalogram (EEG) during encoding of relevant (to be learned) and irrelevant (to be ignored) stimuli by younger adults, older adults, and older cognitively declined adults. EEG entropy was differentially sensitive to task requirements across groups, with younger and older controls exhibiting greater control of encoding-related activity than older declined participants. Task sensitivity of frontal EEG during encoding predicted later retrieval, in line with previous evidence that cognitive decline is associated with reduced ability to self-initiate encoding-related processes.

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The data shown below were collected from the profiles of 14 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 18%
Student > Bachelor 6 12%
Researcher 5 10%
Student > Master 4 8%
Student > Doctoral Student 3 6%
Other 10 20%
Unknown 13 26%
Readers by discipline Count As %
Psychology 17 34%
Engineering 5 10%
Medicine and Dentistry 3 6%
Neuroscience 3 6%
Biochemistry, Genetics and Molecular Biology 2 4%
Other 4 8%
Unknown 16 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 04 December 2018.
All research outputs
#3,752,411
of 22,701,287 outputs
Outputs from Brain Topography
#57
of 483 outputs
Outputs of similar age
#35,122
of 216,178 outputs
Outputs of similar age from Brain Topography
#1
of 4 outputs
Altmetric has tracked 22,701,287 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 483 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 88% 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 216,178 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 83% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them