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Children and their parents are wired to connect as it provides the foundation for developing children to adapt to an increasingly complex environment. Although extensive studies demonstrate the importance of parent-child dyadic similarity at the behavioral, psychological, and physiological levels in fostering children's learning and psychological wellbeing, little is known about parent-child similarity at the neural level until recently. Drawing on our own work and the work by other scholars, this review summarizes recent advances in empirical research on parent-child neural similarity. Specifically, this review elaborates the theoretical importance of studying parent-child neural similarity and showcases how parent-child neural similarity is assessed using different neuroimaging approaches. We further synthesize empirical evidence about the contextual and individual factors that may contribute to variability in parent-child neural similarity, summarize how such neural similarity is related to different aspects of child adjustment, and highlight important directions for future research. Taken together, we hope that this integrative review can demonstrate cutting-edge research that explores neural similarity in parent-child dyads, and provide researchers with a clear roadmap to examine parent-child neural similarity in order to gain a better understanding of parental socialization process and brain development.
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Taking a Computational Cultural Neuroscience Approach to Study Parent-Child Similarities in Diverse Cultural Contexts
Parent-child similarities and discrepancies at multiple levels provide a window to understand the cultural transmission process. Although prior research has examined parent-child similarities at the belief, behavioral, and physiological levels across cultures, little is known about parent-child similarities at the neural level. The current review introduces an interdisciplinary computational cultural neuroscience approach, which utilizes computational methods to understand neural and psychological processes being involved during parent-child interactions at intra- and inter-personal level. This review provides three examples, including the application of intersubject representational similarity analysis to analyze naturalistic neuroimaging data, the usage of computer vision to capture non-verbal social signals during parent-child interactions, and unraveling the psychological complexities involved during real-time parent-child interactions based on their simultaneous recorded brain response patterns. We hope that this computational cultural neuroscience approach can provide researchers an alternative way to examine parent-child similarities and discrepancies across different cultural contexts and gain a better understanding of cultural transmission processes.
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- Award ID(s):
- 1944644
- PAR ID:
- 10292707
- Date Published:
- Journal Name:
- Frontiers in Human Neuroscience
- Volume:
- 15
- ISSN:
- 1662-5161
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.3389/fnhum.2021.703999
