Evidence map›Paper›PMID 25218557›Full record

ReviewBrain research2015

Neural plasticity underlying visual perceptual learning in aging.

Jyoti Mishra, Camarin Rolle, Adam Gazzaley

Abstract readReview
In one paragraph

Review in Brain research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
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

25 citing papers in PubMed, 43 citations in OpenAlex.

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  12. Testing the efficacy of vision training for presbyopia: alternating-distance training does not facilitate vision improvement compared to fixed-distance training.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2022
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  17. Observational
  18. Towards a whole brain model of Perceptual Learning.Current opinion in behavioral sciences · 2018
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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

3 authors at 1 institution in 1 country.

Jyoti MishraDepartment of Neurology, University of California, San Francisco, San Francisco, CA, USA. Electronic address: jyoti.mishra@ucsf.edu.
Camarin RolleDepartment of Neurology, University of California, San Francisco, San Francisco, CA, USA.
Adam GazzaleyDepartment of Neurology, University of California, San Francisco, San Francisco, CA, USA; Department of Physiology, University of California, San Francisco, San Francisco, CA, USA; Department of Psychiatry, University of California, San Francisco, San Francisco, CA, USA. Electronic address: adam.gazzaley@ucsf.edu.
University of California, San Francisco · US

Funding

Fogarty International Clinical Research Scholars Support Center @ Vanderbilt-AAMCR24TW007988 · FIC · VANDERBILT UNIVERSITY · PI VERMUND, STEN H. · 2007 to 2011
$27.6M
Neural Mechanisms of Learning to Resolve Interference in Younger and Older AdultsR01AG040333 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GAZZALEY, ADAM H · 2012 to 2016
$1.2M
FIC NIH HHS 5R24TW007988-05FIC NIH HHS R24 TW007988NIA NIH HHS 5R01AG040333NIA NIH HHS R01 AG040333
6 · The paper itself

Abstract

Healthy aging is associated with a decline in basic perceptual abilities, as well as higher-level cognitive functions such as working memory. In a recent perceptual training study using moving sweeps of Gabor stimuli, Berry et al. (2010) observed that older adults significantly improved discrimination abilities on the most challenging perceptual tasks that presented paired sweeps at rapid rates of 5 and 10 Hz. Berry et al. further showed that this perceptual training engendered transfer-of-benefit to an untrained working memory task. Here, we investigated the neural underpinnings of the improvements in these perceptual tasks, as assessed by event-related potential (ERP) recordings. Early visual ERP components time-locked to stimulus onset were compared pre- and post-training, as well as relative to a no-contact control group. The visual N1 and N2 components were significantly enhanced after training, and the N1 change correlated with improvements in perceptual discrimination on the task. Further, the change observed for the N1 and N2 was associated with the rapidity of the perceptual challenge; the visual N1 (120-150 ms) was enhanced post-training for 10 Hz sweep pairs, while the N2 (240-280 ms) was enhanced for the 5 Hz sweep pairs. We speculate that these observed post-training neural enhancements reflect improvements by older adults in the allocation of attention that is required to accurately dissociate perceptually overlapping stimuli when presented in rapid sequence. This article is part of a Special Issue entitled SI: Memory Å.

Indexed as

AgingAgedBrain MappingColor PerceptionElectroencephalographyEvoked PotentialsFemaleHumansMaleMemoryMiddle AgedNeuronal PlasticityNeuropsychological TestsOrientationPhotic StimulationSpatial LearningAgingCognitive trainingERPPerceptual learningTransfer of benefitVisual perceptionWorking memory

Identifiers

PMID25218557
PMCPMC4362864
OpenAlexW1976160108

What OpenQuestion holds

Textmetadata
LicenceTDM
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.