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Assessing a learning process with functional ANOVA estimators of EEG power spectral densities

Overview of attention for article published in Cognitive Neurodynamics, December 2015
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About this Attention Score

  • Among the highest-scoring outputs from this source (#29 of 217)
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

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4 tweeters

Citations

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8 Dimensions

Readers on

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17 Mendeley
Title
Assessing a learning process with functional ANOVA estimators of EEG power spectral densities
Published in
Cognitive Neurodynamics, December 2015
DOI 10.1007/s11571-015-9368-7
Pubmed ID
Authors

David Gutiérrez, Mauricio A. Ramírez-Moreno

Abstract

We propose to assess the process of learning a task using electroencephalographic (EEG) measurements. In particular, we quantify changes in brain activity associated to the progression of the learning experience through the functional analysis-of-variances (FANOVA) estimators of the EEG power spectral density (PSD). Such functional estimators provide a sense of the effect of training in the EEG dynamics. For that purpose, we implemented an experiment to monitor the process of learning to type using the Colemak keyboard layout during a twelve-lessons training. Hence, our aim is to identify statistically significant changes in PSD of various EEG rhythms at different stages and difficulty levels of the learning process. Those changes are taken into account only when a probabilistic measure of the cognitive state ensures the high engagement of the volunteer to the training. Based on this, a series of statistical tests are performed in order to determine the personalized frequencies and sensors at which changes in PSD occur, then the FANOVA estimates are computed and analyzed. Our experimental results showed a significant decrease in the power of [Formula: see text] and [Formula: see text] rhythms for ten volunteers during the learning process, and such decrease happens regardless of the difficulty of the lesson. These results are in agreement with previous reports of changes in PSD being associated to feature binding and memory encoding.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 35%
Student > Ph. D. Student 5 29%
Student > Bachelor 3 18%
Researcher 1 6%
Unknown 2 12%
Readers by discipline Count As %
Engineering 6 35%
Neuroscience 2 12%
Psychology 2 12%
Immunology and Microbiology 1 6%
Computer Science 1 6%
Other 3 18%
Unknown 2 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 22 February 2019.
All research outputs
#3,483,075
of 13,401,642 outputs
Outputs from Cognitive Neurodynamics
#29
of 217 outputs
Outputs of similar age
#89,670
of 355,719 outputs
Outputs of similar age from Cognitive Neurodynamics
#2
of 7 outputs
Altmetric has tracked 13,401,642 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 217 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done well, scoring higher than 86% 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 355,719 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.