Evidence map›Paper›PMID 22850925›Full record

ArticleExperimental brain research2012

Using prediction errors to drive saccade adaptation: the implicit double-step task.

Aaron L Wong, Mark Shelhamer

Abstract read
In one paragraph

Article in Experimental brain research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Visual Space Constructed by Saccade Motor Maps.Frontiers in human neuroscience · 2016
    Review
  6. Article
  7. Saccade Adaptation and Visual Uncertainty.Frontiers in human neuroscience · 2016
    Article
  8. Article
  9. Article
  10. 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

2 authors.

Aaron L WongDepartment of Biomedical Engineering, The Johns Hopkins University School of Medicine, 600 N. Wolfe St., Pathology 2-210, Baltimore, MD 21287, USA. aaron.wong@jhu.edu
Mark Shelhamer

Funding

The Histology CoreP30DC005211 · NIDCD · JOHNS HOPKINS UNIVERSITY · PI FUCHS, PAUL ALBERT · 2002 to 2016
$9.1M
Training Program in Hearing and BalanceT32DC000023 · NIDCD · JOHNS HOPKINS UNIVERSITY · PI CULLEN, KATHLEEN E · 1989 to 2025
$8.7M
Augmented error feedback for control of saccade timing and amplitudeR21EY019713 · NEI · JOHNS HOPKINS UNIVERSITY · PI SHELHAMER, MARK J · 2010 to 2011
$402k
NEI NIH HHS R21 EY019713NEI NIH HHS R21-EY019713NIDCD NIH HHS P30 DC005211NIDCD NIH HHS T32 DC000023
6 · The paper itself

Abstract

A prediction-based error signal, neurally computed as the difference between predicted and observed movement outcomes, has been proposed as the driving force for motor learning. This suggests that the generation of predictive saccades to periodically paced targets-whose performance accuracy is actively maintained using this same error signal-invokes the motor-learning network. We examined whether a simple predictive-saccade task (implicit double-step adaptation, in which targets are gradually displaced outward to exaggerate normal hypometric movement errors) can stand in place of a traditional double-step saccade-adaptation task to induce an increase in saccade gain. We find that the implicit double-step adaptation task can induce significant gain-increase adaptation (of comparable magnitude to that of the standard double-step task) in normal control subjects. Unlike control subjects, patients with impaired cerebella are unable to adapt their saccades in response to this paradigm; this implies that the cerebellum is crucial for processing prediction-based error signals for motor learning.

Indexed as

Adaptation, PhysiologicalAdultAgedAnalysis of VarianceCase-Control StudiesCerebellumFemaleHumansLearningMaleMiddle AgedMovementPhotic StimulationPredictive Value of TestsSaccadesSeverity of Illness Index

Identifiers

PMID22850925
PMCPMC3443328

What OpenQuestion holds

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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.