Evidence map›Paper›PMID 28754908›Full record

ArticleScientific reports2017

Interaction patterns and individual dynamics shape the way we move in synchrony.

Francesco Alderisio, Gianfranco Fiore, Robin N Salesse, Benoît G Bardy, Mario di Bernardo

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Spontaneous movement synchrony as an exogenous source for interbrain synchronization in cooperative learning.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  3. Human Crowds as Social Networks: Collective Dynamics of Consensus and Polarization.Perspectives on psychological science : a journal of the Association for Psychological Science · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. A metastable attractor model of self-other integration (MEAMSO) in rhythmic synchronization.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Synchronization of complex human networks.Nature communications · 2020
    Article
  17. Topological portraits of multiscale coordination dynamics.Journal of neuroscience methods · 2020
    Review
  18. Article
  19. Article
  20. 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

5 authors.

Francesco AlderisioDepartment of Engineering Mathematics, Merchant Venturers Building, University of Bristol, Woodland Road, Clifton, Bristol, BS8 1UB, United Kingdom.
Gianfranco FioreDepartment of Engineering Mathematics, Merchant Venturers Building, University of Bristol, Woodland Road, Clifton, Bristol, BS8 1UB, United Kingdom.
Robin N SalesseEuroMov, Montpellier University, 700 Avenue du Pic Saint-Loup, 34090, Montpellier, France.ORCID 0000-0002-5613-9576
Benoît G BardyEuroMov, Montpellier University, 700 Avenue du Pic Saint-Loup, 34090, Montpellier, France.
Mario di BernardoDepartment of Engineering Mathematics, Merchant Venturers Building, University of Bristol, Woodland Road, Clifton, Bristol, BS8 1UB, United Kingdom. m.dibernardo@bristol.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An important open problem in Human Behaviour is to understand how coordination emerges in human ensembles. This problem has been seldom studied quantitatively in the existing literature, in contrast to situations involving dual interaction. Here we study motor coordination (or synchronisation) in a group of individuals where participants are asked to visually coordinate an oscillatory hand motion. We separately tested two groups of seven participants. We observed that the coordination level of the ensemble depends on group homogeneity, as well as on the pattern of visual couplings (who looked at whom). Despite the complexity of social interactions, we show that networks of coupled heterogeneous oscillators with different structures capture well the group dynamics. Our findings are relevant to any activity requiring the coordination of several people, as in music, sport or at work, and can be extended to account for other perceptual forms of interaction such as sound or feel.

Indexed as

Models, NeurologicalPsychomotor PerformanceAdultEye MovementsFemaleHandHumansMaleMotor Activity

Identifiers

PMID28754908
PMCPMC5533803

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.