Evidence map›Paper›PMID 40194841›Full record

ArticleeNeuro2025

The Bodily Appearance of a Virtual Partner Affects the Activity of the Action Observation and Action Monitoring Systems in a Minimally Interactive Task.

Ugo Giulio Pesci, Quentin Moreau, Vanessa Era, Matteo Candidi

Abstract read
In one paragraph

Article in eNeuro, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Sharing errors with human and non-human agents.Cerebral cortex (New York, N.Y. : 1991) · 2025
    Article
  2. 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.

Ugo Giulio PesciDepartment of Psychology, Sapienza University, Rome 00185, Italy.ORCID https://orcid.org/0000-0002-3926-4607
Quentin MoreauDepartment of Psychology, Sapienza University, Rome 00185, Italy.
Vanessa EraDepartment of Psychology, Sapienza University, Rome 00185, Italy vanessa.era@uniroma1.it.
Matteo CandidiDepartment of Psychology, Sapienza University, Rome 00185, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One pending question in social neuroscience is whether interpersonal interactions are processed differently by the brain depending on the bodily characteristics of the interactor, i.e., their physical appearance. To address this issue, we engaged participants in a minimally interactive task with an avatar either showing bodily features or not while recording their brain activity using electroencephalography (EEG) in order to investigate indices of action observation and action monitoring processing. Multivariate results showed that bodily compared with nonbodily appearance modulated parieto-occipital neural patterns throughout the entire duration of the observed movement and that, importantly, such patterns differ from the ones related to initial shape processing. Furthermore, among the electrocortical indices of action monitoring, only the early observational positivity (oPe) was responsive to the bodily appearance of the observed agent under the specific task requirement to predict the partner movement. Taken together, these findings broaden the understanding of how bodily appearance shapes the spatiotemporal processing of an interactor's movements. This holds particular relevance in our modern society, where human-artificial (virtual or robotic) agent interactions are rapidly becoming ubiquitous.

Indexed as

BrainInterpersonal RelationsPsychomotor PerformanceSocial InteractionAdultElectroencephalographyFemaleHumansMaleYoung Adultaction monitoringaction observationbiological motionEEGinterpersonal interactions

Identifiers

PMID40194841
PMCPMC12005894

What OpenQuestion holds

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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.