Evidence map›Paper›PMID 27098027›Full record

ArticleJournal of neurophysiology2016

Saccadic adaptation to a systematically varying disturbance.

Carlos R Cassanello, Sven Ohl, Martin Rolfs

Abstract read
In one paragraph

Article in Journal of neurophysiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Disrupted Corollary Discharge in Schizophrenia: Evidence From the Oculomotor System.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2019
    Review
  7. A generative learning model for saccade adaptation.PLoS computational biology · 2019
    Article
  8. Article
  9. 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

3 authors.

Carlos R CassanelloDepartment of Psychology and Bernstein Center for Computational Neuroscience, Humboldt Universität zu Berlin, Berlin, Germany carlos.cassanello@bccn-berlin.de.
Sven OhlDepartment of Psychology and Bernstein Center for Computational Neuroscience, Humboldt Universität zu Berlin, Berlin, Germany.
Martin RolfsDepartment of Psychology and Bernstein Center for Computational Neuroscience, Humboldt Universität zu Berlin, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Saccadic adaptation maintains the correct mapping between eye movements and their targets, yet the dynamics of saccadic gain changes in the presence of systematically varying disturbances has not been extensively studied. Here we assessed changes in the gain of saccade amplitudes induced by continuous and periodic postsaccadic visual feedback. Observers made saccades following a sequence of target steps either along the horizontal meridian (Two-way adaptation) or with unconstrained saccade directions (Global adaptation). An intrasaccadic step-following a sinusoidal variation as a function of the trial number (with 3 different frequencies tested in separate blocks)-consistently displaced the target along its vector. The oculomotor system responded to the resulting feedback error by modifying saccade amplitudes in a periodic fashion with similar frequency of variation but lagging the disturbance by a few tens of trials. This periodic response was superimposed on a drift toward stronger hypometria with similar asymptotes and decay rates across stimulus conditions. The magnitude of the periodic response decreased with increasing frequency and was smaller and more delayed for Global than Two-way adaptation. These results suggest that-in addition to the well-characterized return-to-baseline response observed in protocols using constant visual feedback-the oculomotor system attempts to minimize the feedback error by integrating its variation across trials. This process resembles a convolution with an internal response function, whose structure would be determined by coefficients of the learning model. Our protocol reveals this fast learning process in single short experimental sessions, qualifying it for the study of sensorimotor learning in health and disease.

Indexed as

Adaptation, PhysiologicalAdultFeedback, SensoryFemaleHumansMaleMiddle AgedModels, BiologicalReaction TimeReproducibility of ResultsSaccadesStatistics, NonparametricYoung Adultdelta ruleoculomotor plasticityparameter estimationresponse functionsensorimotor learningstate equationvisually guided saccades

Identifiers

PMID27098027
PMCPMC4969390

What OpenQuestion holds

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Registered trials

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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.