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      Synchrony in the periphery: inter-subject correlation of physiological responses during live music concerts

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          Abstract

          While there is an increasing shift in cognitive science to study perception of naturalistic stimuli, this study extends this goal to naturalistic contexts by assessing physiological synchrony across audience members in a concert setting. Cardiorespiratory, skin conductance, and facial muscle responses were measured from participants attending live string quintet performances of full-length works from Viennese Classical, Contemporary, and Romantic styles. The concert was repeated on three consecutive days with different audiences. Using inter-subject correlation (ISC) to identify reliable responses to music, we found that highly correlated responses depicted typical signatures of physiological arousal. By relating physiological ISC to quantitative values of music features, logistic regressions revealed that high physiological synchrony was consistently predicted by faster tempi (which had higher ratings of arousing emotions and engagement), but only in Classical and Romantic styles (rated as familiar) and not the Contemporary style (rated as unfamiliar). Additionally, highly synchronised responses across all three concert audiences occurred during important structural moments in the music—identified using music theoretical analysis—namely at transitional passages, boundaries, and phrase repetitions. Overall, our results show that specific music features induce similar physiological responses across audience members in a concert context, which are linked to arousal, engagement, and familiarity.

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          lmerTest Package: Tests in Linear Mixed Effects Models

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            FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data

            This paper describes FieldTrip, an open source software package that we developed for the analysis of MEG, EEG, and other electrophysiological data. The software is implemented as a MATLAB toolbox and includes a complete set of consistent and user-friendly high-level functions that allow experimental neuroscientists to analyze experimental data. It includes algorithms for simple and advanced analysis, such as time-frequency analysis using multitapers, source reconstruction using dipoles, distributed sources and beamformers, connectivity analysis, and nonparametric statistical permutation tests at the channel and source level. The implementation as toolbox allows the user to perform elaborate and structured analyses of large data sets using the MATLAB command line and batch scripting. Furthermore, users and developers can easily extend the functionality and implement new algorithms. The modular design facilitates the reuse in other software packages.
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              Communication of emotions in vocal expression and music performance: different channels, same code?

              Many authors have speculated about a close relationship between vocal expression of emotions and musical expression of emotions. but evidence bearing on this relationship has unfortunately been lacking. This review of 104 studies of vocal expression and 41 studies of music performance reveals similarities between the 2 channels concerning (a) the accuracy with which discrete emotions were communicated to listeners and (b) the emotion-specific patterns of acoustic cues used to communicate each emotion. The patterns are generally consistent with K. R. Scherer's (1986) theoretical predictions. The results can explain why music is perceived as expressive of emotion, and they are consistent with an evolutionary perspective on vocal expression of emotions. Discussion focuses on theoretical accounts and directions for future research.
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                Author and article information

                Contributors
                anna.czepiel@ae.mpg.de
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                17 November 2021
                17 November 2021
                2021
                : 11
                : 22457
                Affiliations
                [1 ]GRID grid.461782.e, ISNI 0000 0004 1795 8610, Max Planck Institute for Empirical Aesthetics, ; Frankfurt am Main, Germany
                [2 ]GRID grid.137628.9, ISNI 0000 0004 1936 8753, Max Planck - NYU Center for Language, Music, & Emotion (CLaME), ; New York, USA
                [3 ]GRID grid.49791.32, ISNI 0000 0001 1464 7559, Zeppelin University, ; Friedrichshafen, Germany
                [4 ]GRID grid.5155.4, ISNI 0000 0001 1089 1036, Institute of Music, , University of Kassel, ; Kassel, Germany
                Author information
                http://orcid.org/0000-0002-7101-945X
                https://orcid.org/0000-0001-6699-750X
                https://orcid.org/0000-0003-3356-5529
                https://orcid.org/0000-0002-3659-4731
                https://orcid.org/0000-0003-3511-7893
                https://orcid.org/0000-0001-9436-5219
                Article
                492
                10.1038/s41598-021-00492-3
                8599424
                34789746
                148af7d6-4007-45c1-8f47-3941da71fb92
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 18 August 2021
                : 11 October 2021
                Funding
                Funded by: Max Planck Institute for Empirical Aesthetics (2)
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                neuroscience,physiology,psychology
                Uncategorized
                neuroscience, physiology, psychology

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