Literature DB >> 29756657

Amplitude envelope correlations measure synchronous cortical oscillations in performing musicians.

Anna Zamm1, Stefan Debener2,3, Anna-Katharina R Bauer2, Martin G Bleichner2,3, Alexander P Demos1, Caroline Palmer1.   

Abstract

A major question facing cognitive neuroscience is measurement of interbrain synchrony between individuals performing joint actions. We describe the application of a novel method for measuring musicians' interbrain synchrony: amplitude envelope correlations (AECs). Amplitude envelopes (AEs) reflect energy fluctuations in cortical oscillations over time; AE correlations measure the degree to which two envelope fluctuations are temporally correlated, such as cortical oscillations arising from two individuals performing a joint action. Wireless electroencephalography was recorded from two pianists performing a musical duet; an analysis pipeline is described for computing AEs of cortical oscillations at the duet performance frequency (number of tones produced per second) to test whether these oscillations reflect the temporal dynamics of partners' performances. The pianists' AE correlations were compared with correlations based on a distribution of AEs simulated from white noise signals using the same methods. The AE method was also applied to the temporal characteristics of the pianists' performances, to show that the observed pair's AEs reflect the temporal dynamics of their performance. AE correlations offer a promising approach for assessing interbrain correspondences in cortical activity associated with performing joint tasks.
© 2018 New York Academy of Sciences.

Entities:  

Keywords:  amplitude envelope; interbrain synchrony; joint action; music performance; temporal coordination

Year:  2018        PMID: 29756657     DOI: 10.1111/nyas.13738

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  5 in total

Review 1.  Brains in Sync: Practical Guideline for Parent-Infant EEG During Natural Interaction.

Authors:  Elise Turk; Yaara Endevelt-Shapira; Ruth Feldman; Marion I van den Heuvel; Jonathan Levy
Journal:  Front Psychol       Date:  2022-04-27

2.  Endogenous sources of interbrain synchrony in duetting pianists.

Authors:  Katarzyna Gugnowska; Giacomo Novembre; Natalie Kohler; Arno Villringer; Peter E Keller; Daniela Sammler
Journal:  Cereb Cortex       Date:  2022-09-04       Impact factor: 4.861

3.  HyPyP: a Hyperscanning Python Pipeline for inter-brain connectivity analysis.

Authors:  Anaël Ayrolles; Florence Brun; Phoebe Chen; Amir Djalovski; Yann Beauxis; Richard Delorme; Thomas Bourgeron; Suzanne Dikker; Guillaume Dumas
Journal:  Soc Cogn Affect Neurosci       Date:  2021-01-18       Impact factor: 3.436

4.  Recent Trends in Non-invasive Neural Recording Based Brain-to-Brain Synchrony Analysis on Multidisciplinary Human Interactions for Understanding Brain Dynamics: A Systematic Review.

Authors:  Tahnia Nazneen; Iffath Binta Islam; Md Sakibur Rahman Sajal; Wasifa Jamal; M Ashraful Amin; Ravi Vaidyanathan; Tom Chau; Khondaker A Mamun
Journal:  Front Comput Neurosci       Date:  2022-06-16       Impact factor: 3.387

5.  Towards the Objective Identification of the Presence of Pain Based on Electroencephalography Signals' Analysis: A Proof-of-Concept.

Authors:  Colince Meli Segning; Jessica Harvey; Hassan Ezzaidi; Karen Barros Parron Fernandes; Rubens A da Silva; Suzy Ngomo
Journal:  Sensors (Basel)       Date:  2022-08-20       Impact factor: 3.847

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.