Evidence map›Paper›PMID 31363106›Full record

ArticleScientific reports2019

Musical interaction is influenced by underlying predictive models and musical expertise.

Ole A Heggli, Ivana Konvalinka, Morten L Kringelbach, Peter Vuust

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Polyrhythm Perception and Production: A Scoping Review.Annals of the New York Academy of Sciences · 2026
    Article
  3. Article
  4. Article
  5. 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
  6. Article
  7. Article
  8. Article
  9. The dynamics of musical participation.Musicae scientiae : the journal of the European Society for the Cognitive Sciences of Music · 2022
    Article
  10. Music in the brain.Nature reviews. Neuroscience · 2022
    Review
  11. Article
  12. Article
  13. 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
  14. Article
  15. Review
  16. Article
  17. Article
  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

4 authors.

Ole A HeggliCenter for Music in the Brain, Aarhus University & Royal Academy of Music, Aarhus, Denmark. ole.heggli@clin.au.dk.ORCID http://orcid.org/0000-0002-7461-0309
Ivana KonvalinkaSection for Cognitive Systems, DTU Compute, Technical University of Denmark, Kongens Lyngby, Denmark.
Morten L KringelbachCenter for Music in the Brain, Aarhus University & Royal Academy of Music, Aarhus, Denmark.ORCID http://orcid.org/0000-0002-3908-6898
Peter VuustCenter for Music in the Brain, Aarhus University & Royal Academy of Music, Aarhus, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Musical interaction is a unique model for understanding humans' ability to align goals, intentions, and actions, which also allows for the manipulation of participants' internal predictive models of upcoming events. Here we used polyrhythms to construct two joint finger tapping tasks that even when rhythmically dissimilar resulted in equal inter-tap intervals (ITIs). Thus, behaviourally a dyad of two musicians tap isochronously at the same rate, yet with their own distinct rhythmical context model (RCM). We recruited 22 highly skilled musicians (in 11 dyads) and contrasted the effect of having a shared versus non-shared RCM on dyads' synchronization behaviour. As expected, tapping synchronization was significantly worse at the start of trials with non-shared models compared to trials with a shared model. However, the musicians were able to quickly recover when holding dissimilar predictive models. We characterised the directionality in the tapping behaviour of the dyads and found patterns mostly of mutual adaptation. Yet, in a subset of dyads primarily consisting of drummers, we found significantly different synchronization patterns, suggesting that instrument expertise can significantly affect synchronization strategies. Overall, this demonstrates that holding different predictive models impacts synchronization in musicians performing joint finger tapping.

Indexed as

Interpersonal RelationsAdultFemaleHumansMaleMusicPeriodicityPsychomotor PerformanceYoung Adult

Identifiers

PMID31363106
PMCPMC6667437

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.