Evidence map›Paper›PMID 36637162›Full record

ArticleeLife2023

Sensorimotor feedback loops are selectively sensitive to reward.

Olivier Codol, Mehrdad Kashefi, Christopher J Forgaard, Joseph M Galea, J Andrew Pruszynski, Paul L Gribble

Registry-linked trialAbstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07150325 (Integration of Force Control Training and Mirror Visual Feedback on Stroke Patients on Brain Activation and Hand Function), which is not on this map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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.

NCT07150325 nacompletednot on this mapstarted 2024, after this paper: background citation

Integration of Force Control Training and Mirror Visual Feedback on Stroke Patients on Brain Activation and Hand Function

TypeinterventionalSponsorNational Cheng-Kung University HospitalRan2024 to 2025Enrolled5ConditionsStroke, Stroke PatientsArmsTIPr, Mirror Visual Feedback Device, Mirror Visual Feedback Device(Blocked mirror)
3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Incentive valence differentially engages open- and closed-loop basal ganglia circuits during movement initiation.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
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  14. Article
  15. Article
  16. Article
  17. Cognitive Control as a Multivariate Optimization Problem.Journal of cognitive neuroscience · 2022
    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

6 authors.

Olivier CodolBrain and Mind Institute, University of Western Ontario, London, Canada.ORCID 0000-0003-0796-5457
Mehrdad KashefiBrain and Mind Institute, University of Western Ontario, London, Canada.ORCID 0000-0001-5981-5923
Christopher J ForgaardBrain and Mind Institute, University of Western Ontario, London, Canada.
Joseph M GaleaSchool of Psychology, University of Birmingham, Birmingham, United Kingdom.ORCID 0000-0002-0009-4049
J Andrew PruszynskiBrain and Mind Institute, University of Western Ontario, London, Canada.ORCID 0000-0003-0786-0081
Paul L GribbleBrain and Mind Institute, University of Western Ontario, London, Canada.ORCID 0000-0002-1368-032X

Funding

CIHR PJT-156241
6 · The paper itself

Abstract

Although it is well established that motivational factors such as earning more money for performing well improve motor performance, how the motor system implements this improvement remains unclear. For instance, feedback-based control, which uses sensory feedback from the body to correct for errors in movement, improves with greater reward. But feedback control encompasses many feedback loops with diverse characteristics such as the brain regions involved and their response time. Which specific loops drive these performance improvements with reward is unknown, even though their diversity makes it unlikely that they are contributing uniformly. We systematically tested the effect of reward on the latency (how long for a corrective response to arise?) and gain (how large is the corrective response?) of seven distinct sensorimotor feedback loops in humans. Only the fastest feedback loops were insensitive to reward, and the earliest reward-driven changes were consistently an increase in feedback gains, not a reduction in latency. Rather, a reduction of response latencies only tended to occur in slower feedback loops. These observations were similar across sensory modalities (vision and proprioception). Our results may have implications regarding feedback control performance in athletic coaching. For instance, coaching methodologies that rely on reinforcement or 'reward shaping' may need to specifically target aspects of movement that rely on reward-sensitive feedback responses.

Indexed as

Feedback, SensoryPsychomotor PerformanceBrainHumansReaction TimeRewardhumanmotor controlneuroscienceproprioceptionreinforcement learningsensorimotor feedbackvision

Identifiers

PMID36637162
PMCPMC9910828

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.