Evidence map›Paper›PMID 41168222›Full record

ArticleNPJ science of learning2025

Motor learning mechanisms are not modified by feedback manipulations in a real-world task.

Federico Nardi, A Aldo Faisal, Shlomi Haar

Abstract read
In one paragraph

Article in NPJ science of learning, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
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.

Federico NardiUKRI Centre for Doctoral Training in AI for Healthcare, Imperial College London, London, UK.
A Aldo Faisal *UKRI Centre for Doctoral Training in AI for Healthcare, Imperial College London, London, UK.
Shlomi Haar *Care Research & Technology Centre, UK Dementia Research Institute, London, UK. s.haar@imperial.ac.uk.

Funding

UK Research and Innovation EP/S023283/1UK Research and Innovation EP/V025449/1
6 · The paper itself

Abstract

Error-based and reward-based mechanisms of motor learning co-occur in real-world scenarios but are traditionally isolated in laboratory tasks via feedback manipulations. We examined the distinctiveness of these mechanisms by applying lab-based feedback manipulations to a real-world task. Using Embodied Virtual Reality of pool billiards, we introduced visual perturbations while maintaining full proprioception. 32 participants underwent two sessions, learning visuomotor rotation with either error or reward feedback. The reward-dependent motor variability and inter-trial variability decay - indicators of reward-based learning - were higher in the error-condition. Moreover, post-movement beta rebound (PMBR), a neural marker of learning mechanisms, showed expected decrease under the reward-condition but no consistent trend under the error-condition. These suggest that participants could engage in reward-based learning even without reward feedback. This underscores the complexity of motor learning processes and highlights that visual feedback by itself cannot elucidate the interplay between error-based and reward-based mechanisms in real-world contexts.

Identifiers

PMID41168222
PMCPMC12575758

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.