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Amplitude envelope correlations measure synchronous cortical oscillations in performing musicians
Author(s) -
Zamm Anna,
Debener Stefan,
Bauer AnnaKatharina R.,
Bleichner Martin G.,
Demos Alexander P.,
Palmer Caroline
Publication year - 2018
Publication title -
annals of the new york academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.712
H-Index - 248
eISSN - 1749-6632
pISSN - 0077-8923
DOI - 10.1111/nyas.13738
Subject(s) - envelope (radar) , amplitude , electroencephalography , dynamics (music) , white noise , joint (building) , measure (data warehouse) , acoustics , bioacoustics , noise (video) , computer science , physics , speech recognition , neuroscience , psychology , artificial intelligence , telecommunications , architectural engineering , radar , quantum mechanics , database , engineering , image (mathematics)
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.