The averaged inter-brain coherence between the audience and a violinist predicts the popularity of violin performance

Why is some music well-received whereas other music is not? Previous research has indicated the close temporal dependencies of neural activity among performers and among audiences. However, it is unknown whether similar neural contingencies exist between performers and audiences. Here, we used dual near-infrared spectroscopy (NIRS) to assess whether inter-brain synchronization between violinist and audience underlies the popularity of violin performance. In the experiment, individual audience members (16 females) watched pre-recorded videos, each lasting 100 s or so, in which a violinist performed 12 musical pieces. The results showed that the popularity of the performance correlated with the left-temporal inter-brain coherence (IBC) between the audience and the violinist. The correlation was stronger at late watching (>50 s) than at early watching (≤50 s). The smaller the Granger causality from the audience to the violinist was, the higher was the popularity of the piece with the audience. Discriminant analysis showed that the IBC could distinguish high popularity from low popularity. Further analysis using support vector regression showed that the IBC could also predict the popularity. These findings reveal the association of IBC with the popularity of violin performance. Music appreciation involves the brains of music producers and perceivers in a temporally aligned network through which audiences perceive the intentions of the performer and show positive emotions related to the musical performance.

[1]  K. Yun,et al.  Decoding covert motivations of free riding and cooperation from multi-feature pattern analysis of EEG signals. , 2015, Social cognitive and affective neuroscience.

[2]  R. Zatorre,et al.  Dissociation between Musical and Monetary Reward Responses in Specific Musical Anhedonia , 2014, Current Biology.

[3]  Viktor Müller,et al.  Intra- and Inter-Brain Synchronization during Musical Improvisation on the Guitar , 2013, PloS one.

[4]  Dana Samson,et al.  Left temporoparietal junction is necessary for representing someone else's belief , 2004, Nature Neuroscience.

[5]  Shihui Han,et al.  Oxytocin enhances inter-brain synchrony during social coordination in male adults. , 2016, Social cognitive and affective neuroscience.

[6]  T. Graepel,et al.  Private traits and attributes are predictable from digital records of human behavior , 2013, Proceedings of the National Academy of Sciences.

[7]  Li Liu,et al.  Neural mechanisms for selectively tuning in to the target speaker in a naturalistic noisy situation , 2018, Nature Communications.

[8]  R. Zatorre,et al.  When the brain plays music: auditory–motor interactions in music perception and production , 2007, Nature Reviews Neuroscience.

[9]  Suvi Saarikallio Music as emotion regulation , 2016 .

[10]  Robert T. Knight,et al.  Neural activity during social signal perception correlates with self-reported empathy , 2010, Brain Research.

[11]  Zaizhu Han,et al.  Enhancement of teaching outcome through neural prediction of the students' knowledge state , 2018, Human brain mapping.

[12]  Frithjof Kruggel,et al.  Age dependency of the hemodynamic response as measured by functional near-infrared spectroscopy , 2003, NeuroImage.

[13]  Viktor Müller,et al.  Intra- and interbrain synchronization and network properties when playing guitar in duets , 2012, Front. Hum. Neurosci..

[14]  Parag Chordia,et al.  Inter‐subject synchronization of brain responses during natural music listening , 2013, The European journal of neuroscience.

[15]  Ludmil Mavlov,et al.  Amusia Due to Rhythm Agnosia in a Musician with Left Hemisphere Damage: A Non-Auditory Supramodal Defect , 1980, Cortex.

[16]  S. Wass,et al.  Speaker gaze increases information coupling between infant and adult brains , 2017, Proceedings of the National Academy of Sciences.

[17]  M. Baulac,et al.  Processing of rapid auditory information in epileptic patients with left temporal lobe damage , 2001, Neuropsychologia.

[18]  U. Hasson,et al.  On the Same Wavelength: Predictable Language Enhances Speaker–Listener Brain-to-Brain Synchrony in Posterior Superior Temporal Gyrus , 2014, The Journal of Neuroscience.

[19]  Vladimir N. Vapnik,et al.  The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.

[20]  David Poeppel,et al.  Brain-to-Brain Synchrony and Learning Outcomes Vary by Student–Teacher Dynamics: Evidence from a Real-world Classroom Electroencephalography Study , 2019, Journal of Cognitive Neuroscience.

[21]  S. Shamay-Tsoory,et al.  Herding Brains: A Core Neural Mechanism for Social Alignment , 2019, Trends in Cognitive Sciences.

[22]  Mikko Sams,et al.  Large-scale brain networks emerge from dynamic processing of musical timbre, key and rhythm , 2012, NeuroImage.

[23]  Fumitaka Homae,et al.  Prosodic processing in the developing brain , 2007, Neuroscience Research.

[24]  L. Parra,et al.  Neural engagement with online educational videos predicts learning performance for individual students , 2018, Neurobiology of Learning and Memory.

[25]  Josh H. McDermott The evolution of music , 2008, Nature.

[26]  R. Zatorre,et al.  Structure and function of auditory cortex: music and speech , 2002, Trends in Cognitive Sciences.

[27]  Aixia Yan,et al.  Prediction of Human Intestinal Absorption by GA Feature Selection and Support Vector Machine Regression , 2008, International journal of molecular sciences.

[28]  Michiyo Azuma,et al.  Changes in Cerebral Blood Flow during Olfactory Stimulation in Patients with Multiple Chemical Sensitivity: A Multi-Channel Near-Infrared Spectroscopic Study , 2013, PloS one.

[29]  Patrik Vuilleumier,et al.  Music and emotions: from enchantment to entrainment , 2015, Annals of the New York Academy of Sciences.

[30]  M. Osaka,et al.  How Two Brains Make One Synchronized Mind in the Inferior Frontal Cortex: fNIRS-Based Hyperscanning During Cooperative Singing , 2015, Front. Psychol..

[31]  Yi Hu,et al.  Interpersonal synchronization of inferior frontal cortices tracks social interactive learning of a song , 2018, NeuroImage.

[32]  L. Trainor,et al.  Body sway reflects leadership in joint music performance , 2017, Proceedings of the National Academy of Sciences.

[33]  R. Zatorre,et al.  Interactions Between the Nucleus Accumbens and Auditory Cortices Predict Music Reward Value , 2013, Science.

[34]  Geraint A. Wiggins,et al.  Auditory Expectation: The Information Dynamics of Music Perception and Cognition , 2012, Top. Cogn. Sci..

[35]  Jason J. Ki,et al.  Attention Strongly Modulates Reliability of Neural Responses to Naturalistic Narrative Stimuli , 2016, The Journal of Neuroscience.

[36]  Yoko Hoshi,et al.  Functional near-infrared spectroscopy: current status and future prospects. , 2007, Journal of biomedical optics.

[37]  Kang Lee,et al.  Neural correlates of own- and other-race face recognition in children: A functional near-infrared spectroscopy study , 2014, NeuroImage.

[38]  Swann Pichon,et al.  Getting the beat: Entrainment of brain activity by musical rhythm and pleasantness , 2014, NeuroImage.

[39]  Pia Rotshtein,et al.  Pleasant music overcomes the loss of awareness in patients with visual neglect , 2009, Proceedings of the National Academy of Sciences.

[40]  R. Zatorre,et al.  Predictions and the brain: how musical sounds become rewarding , 2015, Trends in Cognitive Sciences.

[41]  Young-Chan Lee,et al.  Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters , 2005, Expert Syst. Appl..

[42]  Holger Hennig,et al.  Synchronization in human musical rhythms and mutually interacting complex systems , 2014, Proceedings of the National Academy of Sciences.

[43]  Aslak Grinsted,et al.  Nonlinear Processes in Geophysics Application of the Cross Wavelet Transform and Wavelet Coherence to Geophysical Time Series , 2022 .

[44]  Hui Zhao,et al.  Shared neural representations of syntax during online dyadic communication , 2019, NeuroImage.

[45]  Birk Diedenhofen,et al.  cocor: A Comprehensive Solution for the Statistical Comparison of Correlations , 2015, PloS one.

[46]  V. Menon,et al.  Decoding temporal structure in music and speech relies on shared brain resources but elicits different fine-scale spatial patterns. , 2011, Cerebral cortex.

[47]  Daniel Västfjäll,et al.  How does music evoke emotions , 2010 .

[48]  G. Rizzolatti,et al.  The mirror-neuron system. , 2004, Annual review of neuroscience.

[49]  G. Schwarz Estimating the Dimension of a Model , 1978 .

[50]  Anil K. Seth,et al.  The MVGC multivariate Granger causality toolbox: A new approach to Granger-causal inference , 2014, Journal of Neuroscience Methods.

[51]  Carol A C Flannagan,et al.  Identification and validation of a logistic regression model for predicting serious injuries associated with motor vehicle crashes. , 2011, Accident; analysis and prevention.

[52]  Keith M. Welker,et al.  Music as an emotion regulation strategy: An examination of genres of music and their roles in emotion regulation , 2019 .

[53]  Viktor Müller,et al.  Hyperbrain network properties of guitarists playing in quartet , 2018, Annals of the New York Academy of Sciences.

[54]  P. Laukka,et al.  Communication of emotions in vocal expression and music performance: different channels, same code? , 2003, Psychological bulletin.

[55]  M. Tervaniemi,et al.  The development of aesthetic responses to music and their underlying neural and psychological mechanisms , 2011, Cortex.

[56]  Viktor Müller,et al.  Directionality in hyperbrain networks discriminates between leaders and followers in guitar duets , 2013, Front. Hum. Neurosci..

[57]  T. Griffiths,et al.  What is an auditory object? , 2004, Nature Reviews Neuroscience.

[58]  Jenny Knight,et al.  On the same wavelength. , 2010, Nursing standard (Royal College of Nursing (Great Britain) : 1987).

[59]  Patrik Vuilleumier,et al.  Temporal dynamics of musical emotions examined through intersubject synchrony of brain activity. , 2015, Social cognitive and affective neuroscience.

[60]  Martin Wolf,et al.  Between-brain connectivity during imitation measured by fNIRS , 2012, NeuroImage.

[61]  Joy Hirsch,et al.  Separation of the global and local components in functional near-infrared spectroscopy signals using principal component spatial filtering , 2016, Neurophotonics.

[62]  B. Reiser,et al.  Estimation of the area under the ROC curve , 2002, Statistics in medicine.

[63]  S. Shimojo,et al.  Interpersonal body and neural synchronization as a marker of implicit social interaction , 2012, Scientific Reports.

[64]  M. Zentner,et al.  Mapping Aesthetic Musical Emotions in the Brain , 2011, Cerebral cortex.

[65]  Takayuki Nozawa,et al.  Interpersonal frontopolar neural synchronization in group communication: An exploration toward fNIRS hyperscanning of natural interactions , 2016, NeuroImage.

[66]  James R. Gord,et al.  Application of the Cross Wavelet Transform and Wavelet Coherence to OH-PLIF in Bluff-Body Stabilized Flames , 2013 .

[67]  Jeffrey H. Kahn,et al.  “So sad and slow, so why can’t I turn off the radio”: The effects of gender, depression, and absorption on liking music that induces sadness and music that induces happiness , 2016 .

[68]  J. Decety,et al.  To what extent do we share the pain of others? Insight from the neural bases of pain empathy , 2006, Pain.

[69]  Anna-Karin Weivert,et al.  Music and Emotion , 2022 .

[70]  P. Juslin,et al.  Cue Utilization in Communication of Emotion in Music Performance: Relating Performance to Perception Studies of Music Performance , 2022 .

[71]  Peter G. Christenson,et al.  Genre and Gender in the Structure of Music Preferences , 1988 .

[72]  Lucila Ohno-Machado,et al.  Logistic regression and artificial neural network classification models: a methodology review , 2002, J. Biomed. Informatics.

[73]  Kazuo Hiraki,et al.  Sustained decrease in oxygenated hemoglobin during video games in the dorsal prefrontal cortex: A NIRS study of children , 2006, NeuroImage.

[74]  Judy Illes,et al.  Brain Imaging , 2006, Science communication.

[75]  L. Fadiga,et al.  Sensorimotor communication in professional quartets , 2014, Neuropsychologia.

[76]  Dongchuan Yu,et al.  Gender difference in spontaneous deception: A hyperscanning study using functional near-infrared spectroscopy , 2017, Scientific Reports.

[77]  Xu Cui,et al.  NIRS-based hyperscanning reveals increased interpersonal coherence in superior frontal cortex during cooperation , 2012, NeuroImage.

[78]  D. Poeppel,et al.  Brain-to-Brain Synchrony Tracks Real-World Dynamic Group Interactions in the Classroom , 2017, Current Biology.

[79]  G. Taga,et al.  Brain imaging in awake infants by near-infrared optical topography , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[80]  J. Hirsch,et al.  Communication of emotion via drumming: dual-brain imaging with functional near-infrared spectroscopy , 2018, Social cognitive and affective neuroscience.

[81]  Christian Gerloff,et al.  Brain-to-brain synchrony in parent-child dyads and the relationship with emotion regulation revealed by fNIRS-based hyperscanning , 2018, NeuroImage.

[82]  Mikko Sams,et al.  Emotions amplify speaker–listener neural alignment , 2019, Human brain mapping.

[83]  U. Hasson,et al.  Speaker–listener neural coupling underlies successful communication , 2010, Proceedings of the National Academy of Sciences.

[84]  G. Rizzolatti,et al.  The functional role of the parieto-frontal mirror circuit: interpretations and misinterpretations , 2010, Nature Reviews Neuroscience.

[85]  Wouter De Baene,et al.  Cognitive vs. affective listening modes and judgments of music – An ERP study , 2010, Biological Psychology.

[86]  Guillaume Dumas,et al.  Brain-to-brain coupling during handholding is associated with pain reduction , 2018, Proceedings of the National Academy of Sciences.

[87]  M. Zentner,et al.  Rhythmic engagement with music in infancy , 2010, Proceedings of the National Academy of Sciences.

[88]  R. Zatorre,et al.  Anatomically distinct dopamine release during anticipation and experience of peak emotion to music , 2011, Nature Neuroscience.

[89]  Robert J. Zatorre,et al.  Neuronal Correlates of Perception, Imagery, and Memory for Familiar Tunes , 2012, Journal of Cognitive Neuroscience.

[90]  Ernest Mas-Herrero,et al.  Neural correlates of specific musical anhedonia , 2016, Proceedings of the National Academy of Sciences.

[91]  Y. Hu,et al.  Synchronous brain activity during cooperative exchange depends on gender of partner: A fNIRS‐based hyperscanning study , 2015, Human brain mapping.