Evidence map›Paper›PMID 36138861›Full record

ArticleBrain sciences2022

The Remapping of Peripersonal Space in a Real but Not in a Virtual Environment.

Francesca Ferroni, Vittorio Gallese, Agata Marta Soccini, Nunzio Langiulli, Francesca Rastelli, Donato Ferri, Francesco Bianchi, Martina Ardizzi

Abstract read
In one paragraph

Article in Brain sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

8 authors.

Francesca FerroniUnit of Neuroscience, Department of Medicine and Surgery, University of Parma, 43126 Parma, Italy.ORCID 0000-0003-4665-9102
Vittorio GalleseUnit of Neuroscience, Department of Medicine and Surgery, University of Parma, 43126 Parma, Italy.
Agata Marta SocciniComputer Science Department, University of Torino, 10124 Turin, Italy.ORCID 0000-0002-7571-8637
Nunzio LangiulliUnit of Neuroscience, Department of Medicine and Surgery, University of Parma, 43126 Parma, Italy.
Francesca RastelliUnit of Neuroscience, Department of Medicine and Surgery, University of Parma, 43126 Parma, Italy.
Donato FerriEY Advisory, 00187 Rome, Italy.
Francesco BianchiEY Advisory, 00187 Rome, Italy.
Martina ArdizziUnit of Neuroscience, Department of Medicine and Surgery, University of Parma, 43126 Parma, Italy.

Funding

Ernst and Young Business School 0000Fondazione Cariparma 0000University of Parma 0000
6 · The paper itself

Abstract

One of the most surprising features of our brain is the fact that it is extremely plastic. Among the various plastic processes supported by our brain, there is the neural representation of the space surrounding our body, the peripersonal space (PPS). The effects of real-world tool use on the PPS are well known in cognitive neuroscience, but little is still known whether similar mechanisms also govern virtual tool use. To this purpose, the present study investigated the plasticity of the PPS before and after a real (Experiment 1) or virtual motor training with a tool (Experiment 2). The results show the expansion of the PPS only following real-world tool use but not virtual use, highlighting how the two types of training potentially rely on different processes. This study enriches the current state of the art on the plasticity of PPS in real and virtual environments. We discuss our data with respect to the relevance for the development of effective immersive environment for trainings, learning and rehabilitation.

Indexed as

actionmultisensory integrationplasticityspacetool usevirtual reality

Identifiers

PMID36138861
PMCPMC9497134

What OpenQuestion holds

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LicenceCC BY
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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.