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2017
DOI: 10.1038/srep43293
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Measuring speaker–listener neural coupling with functional near infrared spectroscopy

Abstract: The present study investigates brain-to-brain coupling, defined as inter-subject correlations in the hemodynamic response, during natural verbal communication. We used functional near-infrared spectroscopy (fNIRS) to record brain activity of 3 speakers telling stories and 15 listeners comprehending audio recordings of these stories. Listeners’ brain activity was significantly correlated with speakers’ with a delay. This between-brain correlation disappeared when verbal communication failed. We further compared… Show more

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Cited by 148 publications
(102 citation statements)
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“…Cross-brain coherence using wavelet analysis and related correlation techniques have been applied in neuroimaging studies to confirm synchronous neural activation between two individuals and to analyze cross-brain synchrony during either live interpersonal interactions or delayed story-telling and listening paradigms (Cui et al, 2012; Jiang et al, 2012; Scholkmann et al, 2013; Tang et al, 2016; Kawasaki et al, 2013; Hasson et al, 2004; Dumas et al, 2010), Liu, et al, 2017). Wavelet analysis decomposes a time varying signal into frequency components.…”
Section: Methodsmentioning
confidence: 99%
“…Cross-brain coherence using wavelet analysis and related correlation techniques have been applied in neuroimaging studies to confirm synchronous neural activation between two individuals and to analyze cross-brain synchrony during either live interpersonal interactions or delayed story-telling and listening paradigms (Cui et al, 2012; Jiang et al, 2012; Scholkmann et al, 2013; Tang et al, 2016; Kawasaki et al, 2013; Hasson et al, 2004; Dumas et al, 2010), Liu, et al, 2017). Wavelet analysis decomposes a time varying signal into frequency components.…”
Section: Methodsmentioning
confidence: 99%
“…However, despite these studies demonstrating the central role of social interaction in shaping cognition, most have focused on the neural underpinnings of the isolated individual rather than on the synchronization of neural activation between partners during interaction. Some studies have noted inter-individual coupling of activation patterns during storytelling (Stephens et al , 2010; Liu et al , 2017), gesture (Schippers et al , 2010), facial expression (Anders et al , 2011), and film viewing (Hasson et al , 2004); however, brain activation data were collected individually while simulating social interaction in an experimental context (e.g. viewing videos of the social partner).…”
Section: Introductionmentioning
confidence: 99%
“…Interperson synchrony of student EEG measures collected across an entire semester were found to significantly predict self‐reported measures of social dynamics and class engagement (Dikker et al, ). Similar work using fNIRS has found significant synchrony in interperson hemodynamics between individuals engaged with a common narrative (Liu et al, ). These early findings point to a powerful and promising approach for the use of neurocognitive measures in classrooms.…”
Section: Brain Synchrony and Classroom Dynamicsmentioning
confidence: 63%