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Abalde SF, Rigby A, Keller PE, Novembre G. A framework for joint music making: Behavioral findings, neural processes, and computational models. Neurosci Biobehav Rev 2024; 167:105816. [PMID: 39032841 DOI: 10.1016/j.neubiorev.2024.105816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 07/15/2024] [Accepted: 07/16/2024] [Indexed: 07/23/2024]
Abstract
Across different epochs and societies, humans occasionally gather to jointly make music. This universal form of collective behavior is as fascinating as it is fragmentedly understood. As the interest in joint music making (JMM) rapidly grows, we review the state-of-the-art of this emerging science, blending behavioral, neural, and computational contributions. We present a conceptual framework synthesizing research on JMM within four components. The framework is centered upon interpersonal coordination, a crucial requirement for JMM. The other components imply the influence of individuals' (past) experience, (current) social factors, and (future) goals on real-time coordination. Our aim is to promote the development of JMM research by organizing existing work, inspiring new questions, and fostering accessibility for researchers belonging to other research communities.
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Affiliation(s)
- Sara F Abalde
- Neuroscience of Perception and Action Lab, Italian Institute of Technology, Rome, Italy; The Open University Affiliated Research Centre at the Istituto Italiano di Tecnologia, Italy.
| | - Alison Rigby
- Neurosciences Graduate Program, University of California, San Diego, USA
| | - Peter E Keller
- Center for Music in the Brain, Aarhus University, Denmark; Department of Clinical Medicine, Center for Music in the Brain, Department of Clinical Medicine, Aarhus University, Denmark; The MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Australia
| | - Giacomo Novembre
- Neuroscience of Perception and Action Lab, Italian Institute of Technology, Rome, Italy
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2
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Sabharwal SR, Breaden M, Volpe G, Camurri A, Keller PE. Leadership dynamics in musical groups: Quantifying effects of musical structure on directionality of influence in concert performance videos. PLoS One 2024; 19:e0300663. [PMID: 38568939 PMCID: PMC10990194 DOI: 10.1371/journal.pone.0300663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 03/01/2024] [Indexed: 04/05/2024] Open
Abstract
Music ensemble performance provides an ecologically valid context for investigating leadership dynamics in small group interactions. Musical texture, specifically the relative salience of simultaneously sounding ensemble parts, is a feature that can potentially alter leadership dynamics by introducing hierarchical relationships between individual parts. The present study extended previous work on quantifying interpersonal coupling in musical ensembles by examining the relationship between musical texture and leader-follower relations, operationalised as directionality of influence between co-performers' body motion in concert video recordings. It was hypothesised that the directionality of influence, indexed by Granger Causality, would be greater for 'homophonic' textures with a clear distinction between melody and accompaniment parts than for 'polyphonic' textures with less distinction between melody and accompaniment. This hypothesis was tested by using pose estimation algorithms to track instrumentalists' body movements in a string quartet and a clarinet quintet, and then applying Granger Causality analysis to their head motion to estimate directional influence between instrumentalist pairs for sections of the pieces that varied in texture. It was found that Granger Causality values were generally higher (indicating greater directionality of influence) for homophonic than polyphonic textures. Furthermore, considering melody and accompaniment instrument roles revealed more evidence for the melody instrument influencing accompanying instruments than vice versa, plus a high degree of directionality among accompanying instruments, in homophonic textures. These observed patterns of directional information flow in co-performer body motion are consistent with changing leader-follower relations depending on hierarchical relations between ensemble parts in terms of the relative salience of melodic material in the musical texture. The finding that automatic pose estimation can detect modulations of leadership dynamics in standard video recordings under naturalistic performance conditions has implications for investigating interpersonal coordination in large-scale music video datasets representing different cultural traditions, and for exploring nonverbal communication in group activities more generally.
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Affiliation(s)
| | - Matthew Breaden
- MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Penrith, Australia
| | | | | | - Peter E. Keller
- MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Penrith, Australia
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University & The Royal Academy of Music Aarhus, Aarhus, Aalborg, Denmark
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3
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Moffat R, Cross ES. Evaluations of dyadic synchrony: observers' traits influence estimation and enjoyment of synchrony in mirror-game movements. Sci Rep 2024; 14:2904. [PMID: 38316911 PMCID: PMC10844651 DOI: 10.1038/s41598-024-53191-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 01/29/2024] [Indexed: 02/07/2024] Open
Abstract
While evidence abounds that motor synchrony is a powerful form of 'social glue' for those involved, we have yet to understand how observers perceive motor synchrony: can observers estimate the degree of synchrony accurately? Is synchrony aesthetically pleasing? In two preregistered experiments (n = 161 each), we assess how accurately observers can estimate the degree of synchrony in dyads playing the mirror game, and how much observers enjoy watching these movements. We further assess whether accuracy and enjoyment are influenced by individual differences in self-reported embodied expertise (ability to reproduce movements, body awareness, body competence), psychosocial resources (extraversion, self-esteem), or social competencies (empathy, autistic traits), while objectively controlling for the degree of measured synchrony and complexity. The data revealed that observers' estimated synchrony with poor accuracy, showing a tendency to underestimate the level of synchrony. Accuracy for low synchrony improved with increasing body competence, while accuracy for high synchrony improved with increasing autistic traits. Observers' enjoyment of dyadic movements correlated positively with the degree of measured synchrony, the predictability of the movements, and the observer's empathy. Furthermore, very low enjoyment was associated with increased body perception. Our findings indicate that accuracy in perceiving synchrony is closely linked to embodiment, while aesthetic evaluations of action hinge on individual differences.
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Affiliation(s)
- Ryssa Moffat
- Professorship for Social Brain Sciences, ETH Zurich, Zurich, Switzerland.
- School of Psychological Sciences, Macquarie University, Sydney, NSW, Australia.
| | - Emily S Cross
- Professorship for Social Brain Sciences, ETH Zurich, Zurich, Switzerland.
- School of Psychological Sciences, Macquarie University, Sydney, NSW, Australia.
- MARCS Institute, Western Sydney University, Sydney, NSW, Australia.
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Rosso M, van Kerrebroeck B, Maes PJ, Leman M. Embodied perspective-taking enhances interpersonal synchronization: A body-swap study. iScience 2023; 26:108099. [PMID: 37920667 PMCID: PMC10618832 DOI: 10.1016/j.isci.2023.108099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 06/20/2023] [Accepted: 09/27/2023] [Indexed: 11/04/2023] Open
Abstract
Humans exhibit a strong tendency to synchronize movements with each other, with visual perspective potentially influencing interpersonal synchronization. By manipulating the visual scenes of participants engaged in a joint finger-tapping task, we examined the effects of 1st person and 2nd person visual perspectives on their coordination dynamics. We hypothesized that perceiving the partner's movements from their 1st person perspective would enhance spontaneous interpersonal synchronization, potentially mediated by the embodiment of the partner's hand. We observed significant differences in attractor dynamics across visual perspectives. Specifically, participants in 1st person coupling were unable to maintain de-coupled trajectories as effectively as in 2nd person coupling. Our findings suggest that visual perspective influences coordination dynamics in dyadic interactions, engaging error-correction mechanisms in individual brains as they integrate the partner's hand into their body representation. Our results have the potential to inform the development of applications for motor training and rehabilitation.
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Affiliation(s)
- Mattia Rosso
- IPEM - Institute for Systematic Musicology, Ghent University, 9000 Ghent, Flanders, Belgium
- PSITEC - Psychologie: Interactions, Temps, Emotions, Cognition - ULR 4072, University of Lille, 59650 Lille, Hauts-de-France, France
| | - Bavo van Kerrebroeck
- IPEM - Institute for Systematic Musicology, Ghent University, 9000 Ghent, Flanders, Belgium
- SPL - Sequence Production Lab, McGill University, Montreal, Quebec H3A 1B1, Canada
- IDMIL – Input Devices. And Music Interaction Laboratory, McGill University, Montréal, Québec H3A 1E3, Canada
| | - Pieter-Jan Maes
- IPEM - Institute for Systematic Musicology, Ghent University, 9000 Ghent, Flanders, Belgium
| | - Marc Leman
- IPEM - Institute for Systematic Musicology, Ghent University, 9000 Ghent, Flanders, Belgium
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Large EW, Roman I, Kim JC, Cannon J, Pazdera JK, Trainor LJ, Rinzel J, Bose A. Dynamic models for musical rhythm perception and coordination. Front Comput Neurosci 2023; 17:1151895. [PMID: 37265781 PMCID: PMC10229831 DOI: 10.3389/fncom.2023.1151895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Accepted: 04/28/2023] [Indexed: 06/03/2023] Open
Abstract
Rhythmicity permeates large parts of human experience. Humans generate various motor and brain rhythms spanning a range of frequencies. We also experience and synchronize to externally imposed rhythmicity, for example from music and song or from the 24-h light-dark cycles of the sun. In the context of music, humans have the ability to perceive, generate, and anticipate rhythmic structures, for example, "the beat." Experimental and behavioral studies offer clues about the biophysical and neural mechanisms that underlie our rhythmic abilities, and about different brain areas that are involved but many open questions remain. In this paper, we review several theoretical and computational approaches, each centered at different levels of description, that address specific aspects of musical rhythmic generation, perception, attention, perception-action coordination, and learning. We survey methods and results from applications of dynamical systems theory, neuro-mechanistic modeling, and Bayesian inference. Some frameworks rely on synchronization of intrinsic brain rhythms that span the relevant frequency range; some formulations involve real-time adaptation schemes for error-correction to align the phase and frequency of a dedicated circuit; others involve learning and dynamically adjusting expectations to make rhythm tracking predictions. Each of the approaches, while initially designed to answer specific questions, offers the possibility of being integrated into a larger framework that provides insights into our ability to perceive and generate rhythmic patterns.
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Affiliation(s)
- Edward W. Large
- Department of Psychological Sciences, University of Connecticut, Mansfield, CT, United States
- Department of Physics, University of Connecticut, Mansfield, CT, United States
| | - Iran Roman
- Music and Audio Research Laboratory, New York University, New York, NY, United States
| | - Ji Chul Kim
- Department of Psychological Sciences, University of Connecticut, Mansfield, CT, United States
| | - Jonathan Cannon
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada
| | - Jesse K. Pazdera
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada
| | - Laurel J. Trainor
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada
| | - John Rinzel
- Center for Neural Science, New York University, New York, NY, United States
- Courant Institute of Mathematical Sciences, New York University, New York, NY, United States
| | - Amitabha Bose
- Department of Mathematical Sciences, New Jersey Institute of Technology, Newark, NJ, United States
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Harry BB, Margulies DS, Falkiewicz M, Keller PE. Brain networks for temporal adaptation, anticipation, and sensory-motor integration in rhythmic human behavior. Neuropsychologia 2023; 183:108524. [PMID: 36868500 DOI: 10.1016/j.neuropsychologia.2023.108524] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 01/21/2023] [Accepted: 02/22/2023] [Indexed: 03/05/2023]
Abstract
Human interaction often requires the precise yet flexible interpersonal coordination of rhythmic behavior, as in group music making. The present fMRI study investigates the functional brain networks that may facilitate such behavior by enabling temporal adaptation (error correction), prediction, and the monitoring and integration of information about 'self' and the external environment. Participants were required to synchronize finger taps with computer-controlled auditory sequences that were presented either at a globally steady tempo with local adaptations to the participants' tap timing (Virtual Partner task) or with gradual tempo accelerations and decelerations but without adaptation (Tempo Change task). Connectome-based predictive modelling was used to examine patterns of brain functional connectivity related to individual differences in behavioral performance and parameter estimates from the adaptation and anticipation model (ADAM) of sensorimotor synchronization for these two tasks under conditions of varying cognitive load. Results revealed distinct but overlapping brain networks associated with ADAM-derived estimates of temporal adaptation, anticipation, and the integration of self-controlled and externally controlled processes across task conditions. The partial overlap between ADAM networks suggests common hub regions that modulate functional connectivity within and between the brain's resting-state networks and additional sensory-motor regions and subcortical structures in a manner reflecting coordination skill. Such network reconfiguration might facilitate sensorimotor synchronization by enabling shifts in focus on internal and external information, and, in social contexts requiring interpersonal coordination, variations in the degree of simultaneous integration and segregation of these information sources in internal models that support self, other, and joint action planning and prediction.
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Affiliation(s)
- Bronson B Harry
- The MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Sydney, Australia.
| | - Daniel S Margulies
- Integrative Neuroscience and Cognition Center, Centre National de la Recherche Scientifique (CNRS) and Université de Paris, Paris, France; Max Planck Research Group for Neuroanatomy and Connectivity, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Marcel Falkiewicz
- Max Planck Research Group for Neuroanatomy and Connectivity, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Peter E Keller
- The MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Sydney, Australia; Center for Music in the Brain, Department of Clinical Medicine, Aarhus University & The Royal Academy of Music Aarhus/Aalborg, Aarhus, Denmark.
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Pan Y, Wen Y, Wang Y, Schilbach L, Chen J. Interpersonal coordination in schizophrenia: a concise update on paradigms, computations, and neuroimaging findings. PSYCHORADIOLOGY 2023; 3:kkad002. [PMID: 38666124 PMCID: PMC10917372 DOI: 10.1093/psyrad/kkad002] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 01/31/2023] [Accepted: 02/06/2023] [Indexed: 04/28/2024]
Affiliation(s)
- Yafeng Pan
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Yalan Wen
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Yajie Wang
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Leonhard Schilbach
- Department of General Psychiatry 2 and Neuroimaging Section, LVR-Klinikum Düsseldorf, Düsseldorf 40629, Germany
- Medical Faculty, Ludwig-Maximilians University, Munich 80539, Germany
| | - Ji Chen
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, China
- Department of Psychiatry, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, Zhejiang 322000, China
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Zimmermann M, Lomoriello AS, Konvalinka I. Intra-individual behavioural and neural signatures of audience effects and interactions in a mirror-game paradigm. ROYAL SOCIETY OPEN SCIENCE 2022; 9:211352. [PMID: 35223056 PMCID: PMC8847899 DOI: 10.1098/rsos.211352] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 01/20/2022] [Indexed: 06/14/2023]
Abstract
We often perform actions while observed by others, yet the behavioural and neural signatures of audience effects remain understudied. Performing actions while being observed has been shown to result in more emphasized movements in musicians and dancers, as well as during communicative actions. Here, we investigate the behavioural and neural mechanisms of observed actions in relation to individual actions in isolation and interactive joint actions. Movement kinematics and EEG were recorded in 42 participants (21 pairs) during a mirror-game paradigm, while participants produced improvised movements alone, while observed by a partner, or by synchronizing movements with the partner. Participants produced largest movements when being observed, and observed actors and dyads in interaction produced slower and less variable movements in contrast with acting alone. On a neural level, we observed increased mu suppression during interaction, as well as to a lesser extent during observed actions, relative to individual actions. Moreover, we observed increased widespread functional brain connectivity during observed actions relative to both individual and interactive actions, suggesting increased intra-individual monitoring and action-perception integration as a result of audience effects. These results suggest that observed actors take observers into account in their action plans by increasing self-monitoring; on a behavioural level, observed actions are similar to emergent interactive actions, characterized by slower and more predictable movements.
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Affiliation(s)
- Marius Zimmermann
- Section for Cognitive Systems, DTU Compute, Kongens Lyngby, Denmark
- Institute of Psychology, University of Regensburg, Regensburg, Germany
| | | | - Ivana Konvalinka
- Section for Cognitive Systems, DTU Compute, Kongens Lyngby, Denmark
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Greenfield MD, Honing H, Kotz SA, Ravignani A. Synchrony and rhythm interaction: from the brain to behavioural ecology. Philos Trans R Soc Lond B Biol Sci 2021; 376:20200324. [PMID: 34420379 DOI: 10.1098/rstb.2020.0324] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
This theme issue assembles current studies that ask how and why precise synchronization and related forms of rhythm interaction are expressed in a wide range of behaviour. The studies cover human activity, with an emphasis on music, and social behaviour, reproduction and communication in non-human animals. In most cases, the temporally aligned rhythms have short-from several seconds down to a fraction of a second-periods and are regulated by central nervous system pacemakers, but interactions involving rhythms that are 24 h or longer and originate in biological clocks also occur. Across this spectrum of activities, species and time scales, empirical work and modelling suggest that synchrony arises from a limited number of coupled-oscillator mechanisms with which individuals mutually entrain. Phylogenetic distribution of these common mechanisms points towards convergent evolution. Studies of animal communication indicate that many synchronous interactions between the signals of neighbouring individuals are specifically favoured by selection. However, synchronous displays are often emergent properties of entrainment between signalling individuals, and in some situations, the very signallers who produce a display might not gain any benefit from the collective timing of their production. This article is part of the theme issue 'Synchrony and rhythm interaction: from the brain to behavioural ecology'.
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Affiliation(s)
- Michael D Greenfield
- Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS 66045, USA.,Equipe Neuro-Ethologie Sensorielle, ENES/Neuro-PSI, CNRS UMR 9197, Universtiy Lyon/Saint-Etienne, 42023 Saint Etienne, France
| | - Henkjan Honing
- Music Cognition Group (MCG), Institute for Logic, Language and Computation (ILLC), University of Amsterdam, Amsterdam 1090 GE, The Netherlands
| | - Sonja A Kotz
- Department of Neuropsychology and Psychopharmacology, Faculty of Psychology and Neuroscience, Maastricht University, Universiteitssingel 40, 6200 MD Maastricht, The Netherlands
| | - Andrea Ravignani
- Comparative Bioacoustics Group, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
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