Inter-brain synchronization during coordination of speech rhythm in human-to-human social interaction

Kawasaki, Masahiro; Yamada, Y.; Ushiku, Yosuke; Miyauchi, Eri; Yamaguchi, Yoko

doi:10.1038/srep01692

Cited by 185 publications

(166 citation statements)

References 47 publications

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“…Future research should continue to make social neuroscience more interactive by examining two or more social partners simultaneously (e.g. Dumas et al, 2010;Kawasaki et al, 2013).…”

Section: Discussionmentioning

confidence: 99%

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Perceived live interaction modulates the developing social brain

Rice

Moraczewski

Redcay³

2016

Social Cognitive and Affective Neuroscience

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Although children's social development is embedded in social interaction, most developmental neuroscience studies have examined responses to non-interactive social stimuli (e.g. photographs of faces). The neural mechanisms of real-world social behavior are of special interest during middle childhood (roughly ages 7-13), a time of increased social complexity and competence coinciding with structural and functional social brain development. Evidence from adult neuroscience studies suggests that social interaction may alter neural processing, but no neuroimaging studies in children have directly examined the effects of live social-interactive context on social cognition. In the current study of middle childhood, we compare the processing of two types of speech: speech that children believed was presented over a real-time audio-feed by a social partner and speech that they believed was recorded. Although in reality all speech was prerecorded, perceived live speech resulted in significantly greater neural activation in regions associated with social cognitive processing. These findings underscore the importance of using ecologically-valid and interactive methods to understand the developing social brain.

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“…Future research should continue to make social neuroscience more interactive by examining two or more social partners simultaneously (e.g. Dumas et al, 2010;Kawasaki et al, 2013).…”

Section: Discussionmentioning

confidence: 99%

“…Thus, unlike studies targeting the intersubject neural synchronization that emerges during interaction (e.g. Dumas et al, 2010;Stephens et al, 2010;Kawasaki et al, 2013;Koike et al, 2016), this paradigm was developed to specifically determine the effects of socialinteractive context on speech processing in a well-controlled design.…”

Section: Introductionmentioning

confidence: 99%

Perceived live interaction modulates the developing social brain

Rice

Moraczewski

Redcay³

2016

Social Cognitive and Affective Neuroscience

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“…Chaotic itinerancy also appears in interacting systems, typically appearing in the brain activity of communicating people in the form of chaotic transition between synchronization and desynchronization (see, for example, [15,16,17]). Furthermore, an atmosphere generated by cooperative actions forms the basis for the creation of meaning when people are communicating.…”

Section: Communicating Brainsmentioning

confidence: 99%

Chaotic itinerancy and its roles in cognitive neurodynamics

Tsuda

2015

Current Opinion in Neurobiology

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Chaotic itinerancy is an autonomously excited trajectory through high-dimensional state space of cortical neural activity that causes the appearance of a temporal sequence of quasi-attractors. A quasi-attractor is a local region of weakly convergent flows that represent ordered activity, yet connected to divergent flows representing disordered, chaotic activity between the regions. In a cognitive neurodynamic aspect, quasi-attractors represent perceptions, thoughts and memories, chaotic trajectories between them with intelligent searches, such as history-dependent trial-and-error via exploration, and itinerancy with history-dependent sequences in thinking, speaking and writing.

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“…4 for an overview), coordination of speech rhythm (25), social interactions (26), cortical phase synchronization while playing guitar in duets (27,28), and improvisation in classical music performances (29).…”

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confidence: 99%

Synchronization in human musical rhythms and mutually interacting complex systems

Hennig

2014

Proc. Natl. Acad. Sci. U.S.A.

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Though the music produced by an ensemble is influenced by multiple factors, including musical genre, musician skill, and individual interpretation, rhythmic synchronization is at the foundation of musical interaction. Here, we study the statistical nature of the mutual interaction between two humans synchronizing rhythms. We find that the interbeat intervals of both laypeople and professional musicians exhibit scale-free (power law) cross-correlations. Surprisingly, the next beat to be played by one person is dependent on the entire history of the other person's interbeat intervals on timescales up to several minutes. To understand this finding, we propose a general stochastic model for mutually interacting complex systems, which suggests a physiologically motivated explanation for the occurrence of scale-free cross-correlations. We show that the observed long-term memory phenomenon in rhythmic synchronization can be imitated by fractal coupling of separately recorded or synthesized audio tracks and thus applied in electronic music. Though this study provides an understanding of fundamental characteristics of timing and synchronization at the interbrain level, the mutually interacting complex systems model may also be applied to study the dynamics of other complex systems where scale-free crosscorrelations have been observed, including econophysics, physiological time series, and collective behavior of animal flocks.time series analysis | long-range cross-correlations | anticorrelations | musical coupling | interbrain synchronization I n his book Musicophilia, neurologist Oliver Sacks writes: "In all societies, a primary function of music is collective and communal, to bring and bind people together. People sing together and dance together in every culture, and one can imagine them having done so around the first fires, a hundred thousand years ago" (1). Sacks adds, "In such a situation, there seems to be an actual binding of nervous systems accomplished by rhythm" (2). These thoughts lead to the question: Is there any underlying and quantifiable structure to the subjective experience of "musical binding"? Here, we examine the statistical nature of musical binding (also referred to as musical coupling) when two humans play rhythms in synchrony.Every beat a single (noninteracting) layperson or musician plays is accompanied by small temporal deviations from the exact beat pattern, i.e., even a trained musician will hit a drum beat slightly ahead or behind the metronome (with a SD of typically 5-15 ms). Interestingly, these deviations are statistically dependent and exhibit long-range correlations (LRC) (3, 4). Listeners significantly prefer music mirroring long-range correlated temporal deviations over uncorrelated (white noise) fluctuations (5, 6). LRC are also inherent in the reproduction of both spatial and temporal intervals of single subjects (4, 7-9) and in musical compositions, such as pitch fluctuations (a simple example of pitch fluctuations is a melody) (10, 11) and note lengths (12). The observation of ...

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Inter-brain synchronization during coordination of speech rhythm in human-to-human social interaction

Cited by 185 publications

References 47 publications

Perceived live interaction modulates the developing social brain

Perceived live interaction modulates the developing social brain

Chaotic itinerancy and its roles in cognitive neurodynamics

Synchronization in human musical rhythms and mutually interacting complex systems

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