Evidence map›Paper›PMID 34228710›Full record

ArticlePLoS computational biology2021

Adaptive control of movement deceleration during saccades.

Simon P Orozco, Scott T Albert, Reza Shadmehr

Abstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. A software tool for at-home measurement of sensorimotor adaptation.bioRxiv : the preprint server for biology · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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.

Simon P OrozcoLaboratory for Computational Motor Control, Dept. of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America.ORCID 0000-0001-6092-7228
Scott T AlbertLaboratory for Computational Motor Control, Dept. of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America.ORCID 0000-0001-9140-1077
Reza ShadmehrLaboratory for Computational Motor Control, Dept. of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America.ORCID 0000-0002-7686-2569

Funding

Training Program in NeuroengineeringT32EB003383 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI NITISH VYOMESH THAKOR · 2004 to 2026
$6.5M
The multiple components of motor memoryR01NS078311 · NINDS · JOHNS HOPKINS UNIVERSITY · PI SHADMEHR, REZA · 2012 to 2021
$3.8M
STAGES OF MOTOR SKILL CONSOLIDATION IN THE HUMAN BRAINR01NS037422 · NINDS · JOHNS HOPKINS UNIVERSITY · PI SHADMEHR, REZA · 1999 to 2010
$3.3M
Effort, reward and vigor in decision making and movement controlR01NS096083 · NINDS · UNIVERSITY OF COLORADO · PI AHMED, ALAA A. · 2017 to 2021
$2.3M
A new theory of population coding in the cerebellumR01EB028156 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI SHADMEHR, REZA · 2020 to 2020
$1.2M
Evidence of Multiple Timescales of Motor Memory within Single MovementF31NS108731 · NINDS · JOHNS HOPKINS UNIVERSITY · PI OROZCO, SIMON P · 2019 to 2021
$137k
NIBIB NIH HHS R01 EB028156NIBIB NIH HHS T32 EB003383NINDS NIH HHS F31 NS108731NINDS NIH HHS R01 NS037422NINDS NIH HHS R01 NS078311NINDS NIH HHS R01 NS096083
6 · The paper itself

Abstract

As you read this text, your eyes make saccades that guide your fovea from one word to the next. Accuracy of these movements require the brain to monitor and learn from visual errors. A current model suggests that learning is supported by two different adaptive processes, one fast (high error sensitivity, low retention), and the other slow (low error sensitivity, high retention). Here, we searched for signatures of these hypothesized processes and found that following experience of a visual error, there was an adaptive change in the motor commands of the subsequent saccade. Surprisingly, this adaptation was not uniformly expressed throughout the movement. Rather, after experience of a single error, the adaptive response in the subsequent trial was limited to the deceleration period. After repeated exposure to the same error, the acceleration period commands also adapted, and exhibited resistance to forgetting during set-breaks. In contrast, the deceleration period commands adapted more rapidly, but suffered from poor retention during these same breaks. State-space models suggested that acceleration and deceleration periods were supported by a shared adaptive state which re-aimed the saccade, as well as two separate processes which resembled a two-state model: one that learned slowly and contributed primarily via acceleration period commands, and another that learned rapidly but contributed primarily via deceleration period commands.

Indexed as

Adaptation, PhysiologicalAdultComputational BiologyFemaleHumansMaleModels, BiologicalSaccadesTask Performance and AnalysisYoung Adult

Identifiers

PMID34228710
PMCPMC8284628

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.