Literature DB >> 32734305

The sound of silence: an EEG study of how musicians time pauses in individual and joint music performance.

Anna Zamm1, Stefan Debener2, Ivana Konvalinka3, Natalie Sebanz1, Günther Knoblich1.   

Abstract

Pauses are an integral feature of social interaction. Conversation partners often pause between conversational turns, and musical co-performers often pause between musical phrases. How do humans coordinate the duration of pauses to ensure seamless interaction? A total of 40 trained pianists performed a simple melody containing fermatas (notated expressive pauses of unspecified duration) first alone (Solo) and then with a partner (Duet) while electroencephalography (EEG) was recorded. As predicted, Duet partners' tone onset synchrony was reduced for tones following pauses. Pauses were shorter in Duet relative to Solo performance, and synchrony of partners' Duet tone onsets was enhanced for tones following shorter pauses. EEG analysis revealed classic signatures of action preparation during pauses, namely decreases in the power of cortical beta oscillations (13-30 Hz, event-related desynchronization ERD). Beta ERD did not differ between pauses in Solo and Duet performance, but was enhanced for shorter relative to longer pauses, suggesting that reduced pause durations in Duet performance facilitated a neural state of enhanced action readiness. Together these findings provide novel insight into behavioural strategies by which musical partners resolve coordination challenges posed by expressive silence, and capture a clear neural signature of action planning during time-varying silences in natural music performance.
© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  action prediction; dual EEG; joint action; music performance

Mesh:

Year:  2021        PMID: 32734305      PMCID: PMC7812619          DOI: 10.1093/scan/nsaa096

Source DB:  PubMed          Journal:  Soc Cogn Affect Neurosci        ISSN: 1749-5016            Impact factor:   3.436


  49 in total

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Journal:  Eur J Neurosci       Date:  2008-06       Impact factor: 3.386

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Authors:  Luc H Arnal
Journal:  Front Hum Neurosci       Date:  2012-08-02       Impact factor: 3.169

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Journal:  Exp Brain Res       Date:  2014-11-16       Impact factor: 1.972

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  3 in total

Review 1.  On the encoding of natural music in computational models and human brains.

Authors:  Seung-Goo Kim
Journal:  Front Neurosci       Date:  2022-09-20       Impact factor: 5.152

2.  Being 'in sync'-is interactional synchrony the key to understanding the social brain?

Authors:  Annett Schirmer; Merle Fairhurst; Stefanie Hoehl
Journal:  Soc Cogn Affect Neurosci       Date:  2021-01-18       Impact factor: 3.436

3.  A Study of Piano Timbre Teaching in the Context of Artificial Intelligence Interaction.

Authors:  Cui Wei
Journal:  Comput Intell Neurosci       Date:  2021-11-27
  3 in total

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