Evidence map›Paper›PMID 26370167›Full record

ArticleJournal of vision2015

Alpha-band EEG activity in perceptual learning.

Brett C Bays, Kristina M Visscher, Christophe C Le Dantec, Aaron R Seitz

Abstract read
In one paragraph

Article in Journal of vision, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Trial
  2. The Effects of Useful Field of View Training on Brain Activity and Connectivity.The journals of gerontology. Series B, Psychological sciences and social sciences · 2019
    Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Deep Neural Networks for Modeling Visual Perceptual Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
    Article
  17. Towards a whole brain model of Perceptual Learning.Current opinion in behavioral sciences · 2018
    Article
  18. Article
  19. Spontaneous Neural Oscillations Bias Perception by Modulating Baseline Excitability.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Brett C Bays
Kristina M Visscher
Christophe C Le Dantec
Aaron R Seitz

Funding

Integrating Perceptual Learning Approaches into Effective Therapies for Low VisioR01EY023582 · NEI · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI SEITZ, AARON R · 2013 to 2017
$1.8M
NEI NIH HHS 1R01EY023582NEI NIH HHS R01 EY023582
6 · The paper itself

Abstract

In studies of perceptual learning (PL), subjects are typically highly trained across many sessions to achieve perceptual benefits on the stimuli in those tasks. There is currently significant debate regarding what sources of brain plasticity underlie these PL-based learning improvements. Here we investigate the hypothesis that PL, among other mechanisms, leads to task automaticity, especially in the presence of the trained stimuli. To investigate this hypothesis, we trained participants for eight sessions to find an oriented target in a field of near-oriented distractors and examined alpha-band activity, which modulates with attention to visual stimuli, as a possible measure of automaticity. Alpha-band activity was acquired via electroencephalogram (EEG), before and after training, as participants performed the task with trained and untrained stimuli. Results show that participants underwent significant learning in this task (as assessed by threshold, accuracy, and reaction time improvements) and that alpha power increased during the pre-stimulus period and then underwent greater desynchronization at the time of stimulus presentation following training. However, these changes in alpha-band activity were not specific to the trained stimuli, with similar patterns of posttraining alpha power for trained and untrained stimuli. These data are consistent with the view that participants were more efficient at focusing resources at the time of stimulus presentation and are consistent with a greater automaticity of task performance. These findings have implications for PL, as transfer effects from trained to untrained stimuli may partially depend on differential effort of the individual at the time of stimulus processing.

Indexed as

ElectroencephalographyAdultBrain MappingFemaleHumansLearningMaleNeuronal PlasticityVisual CortexVisual PerceptionYoung Adult

Identifiers

PMID26370167
PMCPMC4570730

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.