Evidence map›Paper›PMID 33542259›Full record

ArticleScientific reports2021

Mechanisms for mutual support in motor interactions.

Lucia Maria Sacheli, Margherita Adelaide Musco, Elisa Zazzera, Eraldo Paulesu

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
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  4. Sharing errors with human and non-human agents.Cerebral cortex (New York, N.Y. : 1991) · 2025
    Article
  5. Article
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  10. Article
  11. Regulating mirroring of emotions: A social-specific mechanism?Quarterly journal of experimental psychology (2006) · 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

4 authors.

Lucia Maria SacheliDepartment of Psychology and Milan Center for Neuroscience (NeuroMi), University of Milano-Bicocca, Piazza dell'Ateneo Nuovo 1, 20126, Milano, Italy. lucia.sacheli@unimib.it.
Margherita Adelaide MuscoDepartment of Psychology and Milan Center for Neuroscience (NeuroMi), University of Milano-Bicocca, Piazza dell'Ateneo Nuovo 1, 20126, Milano, Italy.
Elisa ZazzeraDepartment of Psychology and Milan Center for Neuroscience (NeuroMi), University of Milano-Bicocca, Piazza dell'Ateneo Nuovo 1, 20126, Milano, Italy.
Eraldo PaulesuDepartment of Psychology and Milan Center for Neuroscience (NeuroMi), University of Milano-Bicocca, Piazza dell'Ateneo Nuovo 1, 20126, Milano, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What is the key to successful interaction? Is it sufficient to represent a common goal, or does the way our partner achieves that goal count as well? How do we react when our partner misbehaves? We used a turn-taking music-like task requiring participants to play sequences of notes together with a partner, and we investigated how people adapt to a partner's error that violates their expectations. Errors consisted of either playing a wrong note of a sequence that the agents were playing together (thus preventing the achievement of the joint goal) or playing the expected note with an unexpected action. In both cases, we found post-error slowing and inaccuracy suggesting the participants' implicit tendency to correct the partner's error and produce the action that the partner should have done. We argue that these "joint" monitoring processes depend on the motor predictions made within a (dyadic) motor plan and may represent a basic mechanism for mutual support in motor interactions.

Indexed as

Cooperative BehaviorAdultFemaleHumansMaleMusicPsychomotor PerformanceYoung Adult

Identifiers

PMID33542259
PMCPMC7862452

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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.