Evidence map›Paper›PMID 35819164›Full record

ArticleAnnals of the New York Academy of Sciences2022

Creating a shared musical interpretation: Changes in coordination dynamics while learning unfamiliar music together.

Emily A Wood, Andrew Chang, Dan Bosnyak, Lucas Klein, Elger Baraku, Dobromir Dotov, Laurel J Trainor

Abstract read
In one paragraph

Article in Annals of the New York Academy of Sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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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.

Emily A WoodLIVELab, McMaster University, Hamilton, Ontario, Canada.ORCID 0000-0001-9302-296X
Andrew ChangLIVELab, McMaster University, Hamilton, Ontario, Canada.ORCID 0000-0001-6745-4435
Dan BosnyakLIVELab, McMaster University, Hamilton, Ontario, Canada.
Lucas KleinLIVELab, McMaster University, Hamilton, Ontario, Canada.
Elger BarakuLIVELab, McMaster University, Hamilton, Ontario, Canada.
Dobromir DotovLIVELab, McMaster University, Hamilton, Ontario, Canada.ORCID 0000-0002-5543-360X
Laurel J TrainorLIVELab, McMaster University, Hamilton, Ontario, Canada.ORCID 0000-0003-3397-2079

Funding

CIHR Project Grant MOP 153130
6 · The paper itself

Abstract

The ability to coordinate with others is fundamental for humans to achieve shared goals. Often, harmonious interpersonal coordination requires learning, such as ensemble musicians rehearing together to synchronize their low-level timing and high-level aesthetic musical expressions. We investigated how the coordination dynamics of a professional string quartet changed as they learned unfamiliar pieces together across eight trials. During all trials, we recorded each musician's body sway motion data, and quantified the group's body sway similarity (cross-correlation) and information flow (Granger causality) on each trial. In line with our hypothesis, group similarity increased, while group information flow decreased significantly across trials. In addition, there was a trend such that group similarity, but not information flow, was related to the quality of the performances. As the ensemble converged on a joint interpretation through rehearsing, their body sways reflected the change from interpersonal information flow for coordinative mutual adaptations and corrections, to synchronous musical coordination made possible by the musicians learning a common internally based expressive interpretation.

Indexed as

MusicHumansLearningbody swayinterpersonal coordinationjoint actionmusic performancenonverbal communication

Identifiers

PMID35819164
PMCPMC9796755

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.