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Neural synchrony in mother–child conversation: Exploring the role of conversation patterns

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Kayhan,  Ezgi
Department of Developmental Psychology, University of Potsdam, Germany;
Max Planck Research Group Early Social Cognition, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Matthes,  Daniel
Max Planck Research Group Early Social Cognition, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Vrticka,  Pascal
Department of Psychology, University of Essex, Colchester, United Kingdom;
Research Group Social Stress and Family Health, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Hoehl,  Stefanie
Department of Developmental and Educational Psychology, Faculty of Psychology, University Vienna, Austria;
Max Planck Research Group Early Social Cognition, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Nguyen_Schleihauf_2021.pdf
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Citation

Nguyen, T., Schleihauf, H., Kayhan, E., Matthes, D., Vrticka, P., & Hoehl, S. (2021). Neural synchrony in mother–child conversation: Exploring the role of conversation patterns. Social Cognitive and Affective Neuroscience, 16(1-2), 93-102. doi:10.1093/scan/nsaa079.


Cite as: https://hdl.handle.net/21.11116/0000-0008-1807-6
Abstract
Conversations are an essential form of communication in daily family life. Specific patterns of caregiver-child conversations have been linked to children's socio-cognitive development and child-relationship quality beyond the immediate family environment. Recently, interpersonal neural synchronization has been proposed as a neural mechanism supporting conversation. Here, we present a functional near-infrared spectroscopy (fNIRS) hyperscanning study looking at the temporal dynamics of neural synchrony during mother-child conversation. Preschoolers (20 boys and 20 girls, M age 5;07 years) and their mothers (M age 36.37 years) were tested simultaneously with fNIRS hyperscanning while engaging in a free verbal conversation lasting for 4 min. Neural synchrony (using wavelet transform coherence analysis) was assessed over time. Furthermore, each conversational turn was coded for conversation patterns comprising turn-taking, relevance, contingency and intrusiveness. Results from linear mixed-effects modeling revealed that turn-taking, but not relevance, contingency or intrusiveness predicted neural synchronization during the conversation over time. Results are discussed to point out possible variables affecting parent-child conversation quality and the potential functional role of interpersonal neural synchronization for parent-child conversation.