Evidence map›Paper›PMID 33093528›Full record

ArticleScientific reports2020

Moving in unison after perceptual interruption.

Benoît G Bardy, Carmela Calabrese, Pietro De Lellis, Stella Bourgeaud, Clémentine Colomer, Simon Pla, Mario di Bernardo

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

7 authors.

Benoît G BardyEuroMov Digital Health in Motion, Univ. Montpellier, IMT Mines Ales, 34090, Montpellier, France. benoit.bardy@umontpellier.fr.
Carmela CalabreseEuroMov Digital Health in Motion, Univ. Montpellier, IMT Mines Ales, 34090, Montpellier, France.
Pietro De LellisDepartment of Electrical Engineering and Information Technology, University of Naples Federico II, 80125, Naples, Italy.
Stella BourgeaudEuroMov Digital Health in Motion, Univ. Montpellier, IMT Mines Ales, 34090, Montpellier, France.
Clémentine ColomerEuroMov Digital Health in Motion, Univ. Montpellier, IMT Mines Ales, 34090, Montpellier, France.
Simon PlaEuroMov Digital Health in Motion, Univ. Montpellier, IMT Mines Ales, 34090, Montpellier, France.
Mario di BernardoDepartment of Electrical Engineering and Information Technology, University of Naples Federico II, 80125, Naples, Italy. mario.dibernardo@unina.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humans interact in groups through various perception and action channels. The continuity of interaction despite a transient loss of perceptual contact often exists and contributes to goal achievement. Here, we study the dynamics of this continuity, in two experiments involving groups of participants ([Formula: see text]) synchronizing their movements in space and in time. We show that behavioural unison can be maintained after perceptual contact has been lost, for about 7s. Agent similarity and spatial configuration in the group modulated synchronization performance, differently so when perceptual interaction was present or when it was memorized. Modelling these data through a network of oscillators enabled us to clarify the double origin of this memory effect, of individual and social nature. These results shed new light into why humans continue to move in unison after perceptual interruption, and are consequential for a wide variety of applications at work, in art and in sport.

Indexed as

MovementAdultFemaleHumansMaleMemoryPerceptual DistortionSpace PerceptionVisual PerceptionYoung Adult

Identifiers

PMID33093528
PMCPMC7582161

What OpenQuestion holds

Textmetadata
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.