Evidence map›Paper›PMID 34115757›Full record

ArticlePLoS computational biology2021

Stochastic optimal feedforward-feedback control determines timing and variability of arm movements with or without vision.

Bastien Berret, Adrien Conessa, Nicolas Schweighofer, Etienne Burdet

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 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
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  4. Article
  5. Vision Fine-Tunes Predictions of Bimanual Self-Touch.The European journal of neuroscience · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Spiral drawing deficits in children with prenatal alcohol exposure.Alcohol, clinical & experimental research · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Article
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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

4 authors.

Bastien BerretUniversité Paris-Saclay CIAMS, Orsay, France.ORCID 0000-0002-0779-7724
Adrien ConessaUniversité Paris-Saclay CIAMS, Orsay, France.ORCID 0000-0002-6236-1958
Nicolas SchweighoferUniversity of Southern California, Los Angeles, California, United States of America.ORCID 0000-0003-3362-6088
Etienne BurdetUniversity of Southern California, Los Angeles, California, United States of America.

Funding

Optimizing sensori-motor training post-strokeR56NS100528 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SCHWEIGHOFER, NICOLAS · 2017 to 2017
$483k
Fast training promotes recovery of arm movements post-stroke via cerebellar-mediated anticipatory feedforward controlR21NS120274 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SCHWEIGHOFER, NICOLAS · 2020 to 2020
$422k
NINDS NIH HHS R21 NS120274NINDS NIH HHS R56 NS100528
6 · The paper itself

Abstract

Human movements with or without vision exhibit timing (i.e. speed and duration) and variability characteristics which are not well captured by existing computational models. Here, we introduce a stochastic optimal feedforward-feedback control (SFFC) model that can predict the nominal timing and trial-by-trial variability of self-paced arm reaching movements carried out with or without online visual feedback of the hand. In SFFC, movement timing results from the minimization of the intrinsic factors of effort and variance due to constant and signal-dependent motor noise, and movement variability depends on the integration of visual feedback. Reaching arm movements data are used to examine the effect of online vision on movement timing and variability, and test the model. This modelling suggests that the central nervous system predicts the effects of sensorimotor noise to generate an optimal feedforward motor command, and triggers optimal feedback corrections to task-related errors based on the available limb state estimate.

Indexed as

Feedback, SensoryMovementStochastic ProcessesArmHumansModels, NeurologicalPsychomotor Performance

Identifiers

PMID34115757
PMCPMC8221793

What OpenQuestion holds

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LicenceCC BY
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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.