Reliability for music-induced heart rate synchronization.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
28 May 2024
28 May 2024
Historique:
received:
09
11
2023
accepted:
23
05
2024
medline:
29
5
2024
pubmed:
29
5
2024
entrez:
28
5
2024
Statut:
epublish
Résumé
Common inputs synchronize various biological systems, including human physical and cognitive processes. This mechanism potentially explains collective human emotions in theater as unintentional behavioral synchronization. However, the inter-subject correlation of physiological signals among individuals is small. Based on findings on the common-input synchronization of nonlinear systems, we hypothesized that individual differences in perceptual and cognitive systems reduce the reliability of physiological responses to aesthetic stimuli and, thus, disturb synchronization. We tested this by comparing the inter- and intra-subject Pearson's correlation coefficients and nonlinear phase synchronization, calculated using instantaneous heart rate data measured while appreciating music. The results demonstrated that inter-subject correlations were consistently lower than intra-subject correlations, regardless of participants' music preferences and daily moods. Further, music-induced heart rate synchronization depends on the reliability of physiological responses to musical pieces rather than mood or motivation. This study lays the foundation for future empirical research on collective emotions in theater.
Identifiants
pubmed: 38806616
doi: 10.1038/s41598-024-62994-0
pii: 10.1038/s41598-024-62994-0
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
12200Subventions
Organisme : Japan Society for the Promotion of Science
ID : JP21K12093
Informations de copyright
© 2024. The Author(s).
Références
Hata, S., Shimokawa, T., Arai, K. & Nakao, H. Synchronization of uncoupled oscillators by common gamma impulses: From phase locking to noise-induced synchronization. Phys. Rev. E 82(3), 036206. https://doi.org/10.1103/PhysRevE.82.036206 (2010).
doi: 10.1103/PhysRevE.82.036206
Teramae, J. N. & Tanaka, D. Robustness of the noise-induced phase synchronization in a general class of limit cycle oscillators. Phys. Rev. Lett. 93(20), 204103. https://doi.org/10.1103/PhysRevLett.93.204103 (2004).
doi: 10.1103/PhysRevLett.93.204103
pubmed: 15600929
Nakao, H., Arai, K. & Kawamura, Y. Noise-induced synchronization and clustering in ensembles of uncoupled limit-cycle oscillators. Phys. Rev. Lett. 98(18), 184101. https://doi.org/10.1103/PhysRevLett.98.184101 (2007).
doi: 10.1103/PhysRevLett.98.184101
pubmed: 17501578
Schmolke, F. & Lutz, E. Noise-induced quantum synchronization. Phys. Rev. Lett. 129(25), 250601. https://doi.org/10.1103/PhysRevLett.129.250601 (2022).
doi: 10.1103/PhysRevLett.129.250601
pubmed: 36608236
Uchida, A., McAllister, R. & Roy, R. Consistency of nonlinear system response to complex drive signals. Phys. Rev. Lett. 93(24), 244102. https://doi.org/10.1103/PhysRevLett.93.244102 (2004).
doi: 10.1103/PhysRevLett.93.244102
pubmed: 15697817
Mainen, Z. F. & Sejnowski, T. J. Reliability of spike timing in neocortical neurons. Science 268(5216), 1503–1506. https://doi.org/10.1126/science.7770778 (1995).
doi: 10.1126/science.7770778
pubmed: 7770778
Moran, P. A. The statistical analysis of the Canadian lynx cycle II Synchronization and Meteorology. Aust. J. f Zool. 1(3), 291–298 (1953).
doi: 10.1071/ZO9530291
Pérez, P. et al. Conscious processing of narrative stimuli synchronizes heart rate between individuals. Cell Rep. 36(11), 1–14. https://doi.org/10.1016/j.celrep.2021.109692 (2021).
doi: 10.1016/j.celrep.2021.109692
Madsen, J. & Parra, L. C. Cognitive processing of a common stimulus synchronizes brains, hearts, and eyes. PNAS Nexus 1(1), pgac020. https://doi.org/10.1093/pnasnexus/pgac020 (2022).
doi: 10.1093/pnasnexus/pgac020
pubmed: 36712806
pmcid: 9802497
Nomura, R., Hino, K., Shimazu, M., Liang, Y. & Okada, T. Emotionally excited eyeblink-rate variability predicts an experience of transportation into the narrative world. Frontiers in Psychology 6, 447. https://doi.org/10.3389/fpsyg.2015.00447 (2015).
doi: 10.3389/fpsyg.2015.00447
pubmed: 26029123
pmcid: 4428441
Marwan, N., Romano, M. C., Thiel, M. & Kurths, J. Recurrence plots for the analysis of complex systems. Physics Reports 438(5/6), 237–329. https://doi.org/10.1016/j.physrep.2006.11.001 (2007).
doi: 10.1016/j.physrep.2006.11.001
Madsen, J., Margulis, E. H., Simchy-Gross, R. & Parra, L. C. Music synchronizes brainwaves across listeners with strong effects of repetition, familiarity, and training. Sci. Rep. 9(1), 3576. https://doi.org/10.1038/s41598-019-40254-w (2019).
doi: 10.1038/s41598-019-40254-w
pubmed: 30837633
pmcid: 6401073
Kaneshiro, B., Nguyen, D. T., Norcia, A. M., Dmochowski, J. P. & Berger, J. Natural music evokes correlated EEG responses reflecting temporal structure and beat. NeuroImage 214, 116559. https://doi.org/10.1016/j.neuroimage.2020.116559 (2020).
doi: 10.1016/j.neuroimage.2020.116559
pubmed: 31978543
Léveillé Gauvin, H. Drawing listener attention in popular music: Testing five musical features arising from the theory of attention economy. Musicae Scientiae 22(3), 291–304. https://doi.org/10.1177/1029864917698010 (2018).
doi: 10.1177/1029864917698010
Tschacher, W. et al. Audience synchronies in live concerts illustrate the embodiment of music experience. Sci. Rep. 13(1), 14843. https://doi.org/10.1038/s41598-023-41960-2 (2023).
doi: 10.1038/s41598-023-41960-2
pubmed: 37798262
pmcid: 10556000
Swarbrick, D. et al. How live music moves us: head movement differences in audiences to live versus recorded music. Frontiers in Psychology 9, 2682. https://doi.org/10.3389/fpsyg.2018.02682 (2019).
doi: 10.3389/fpsyg.2018.02682
pubmed: 30687158
pmcid: 6336707
Ardizzi, M., Calbi, M., Tavaglione, S., Umiltà, M. A. & Gallese, V. Audience spontaneous entrainment during the collective enjoyment of live performances: physiological and behavioral measurements. Sci. Rep. 10(1), 3813. https://doi.org/10.1038/s41598-020-60832-7 (2020).
doi: 10.1038/s41598-020-60832-7
pubmed: 32123246
pmcid: 7052145
Czepiel, A. et al. Synchrony in the periphery: inter-subject correlation of physiological responses during live music concerts. Sci. Rep. 11(1), 22457. https://doi.org/10.1038/s41598-021-00492-3 (2021).
doi: 10.1038/s41598-021-00492-3
pubmed: 34789746
pmcid: 8599424
Nomura, R., Liang, Y. & Okada, T. Interactions among collective spectators facilitate eyeblink synchronization. PLoS One 10(10), e0140774. https://doi.org/10.1371/journal.pone.0140774 (2015).
doi: 10.1371/journal.pone.0140774
pubmed: 26479405
pmcid: 4610666
Terasaki, M., Kishimoto, M. & Koga, A. A construction of a multiple mood scale. Jpn. J. Psychol. 62(6), 350–356. https://doi.org/10.4992/jjpsy.62.350 (1992).
doi: 10.4992/jjpsy.62.350
Oode, S., Imai, A., Ando, A. & Taniguchi, T. Evaluation of Kandoh evoked by music: Relation between type of kandoh and affective value of music. IPSJ Journal, 50(3), 1111 –1121 (2009).
Borenstein, M., Hedges, L. V., Higgins, J. P. & Rothstein, H. R. Introduction to Meta-Analysis (John Wiley & Sons, 2011).
Sugihara, G. et al. Detecting causality in complex ecosystems. Science 338(6106), 496–500 (2012).
doi: 10.1126/science.1227079
pubmed: 22997134
Marwan, N. Cross Recurrence Plot Toolbox for MATLAB, Version 5.28 (R37), https://tocsy.pik-potsdam.de/CRPtoolbox/ , accessed 2023–09–18.