Emotional valence modulates the topology of the parent-infant inter-brain network
Article
Santamaria, L., Noreika, V., Georgieva, S., Clackson, K., Wass, S. and Leong, V. 2019. Emotional valence modulates the topology of the parent-infant inter-brain network. NeuroImage. 207 (Art. 116341). https://doi.org/10.1016/j.neuroimage.2019.116341
Authors | Santamaria, L., Noreika, V., Georgieva, S., Clackson, K., Wass, S. and Leong, V. |
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Abstract | Emotional communication between parents and children is crucial during early life, yet little is known about its neural underpinnings. Here, we adopt a dual connectivity approach to assess how positive and negative emotions modulate the interpersonal neural network between infants and their mothers during naturalistic interaction. Fifteen mothers were asked to model positive and negative emotions toward pairs of objects during social interaction with their infants (mean age 10.3 months) whilst the neural activity of both mothers and infants was concurrently measured using dual electroencephalogram (EEG). Intra-brain and inter-brain network connectivity in the 6–9 Hz range (i.e. infant Alpha band) during maternal expression of positive and negative emotions was computed using directed (partial directed coherence, PDC) and non-directed (phase-locking value, PLV) connectivity metrics. Graph theoretical measures were used to quantify differences in network topology as a function of emotional valence. We found that inter-brain network indices (Density, Strength and Divisibility) consistently revealed strong effects of emotional valence on the parent-child neural network. Parents and children showed stronger integration of their neural processes during maternal demonstrations of positive than negative emotions. Further, directed inter-brain metrics (PDC) indicated that mother to infant directional influences were stronger during the expression of positive than negative emotional states. These results suggest that the parent-infant inter-brain network is modulated by the emotional quality and tone of dyadic social interactions, and that inter-brain graph metrics may be successfully applied to examine these changes in parent-infant inter-brain network topology. |
Journal | NeuroImage |
Journal citation | 207 (Art. 116341) |
ISSN | 1053-8119 |
Year | 2019 |
Publisher | Elsevier for Academic Press |
Accepted author manuscript | License File Access Level Repository staff only |
Publisher's version | License File Access Level Anyone |
Supplemental file | File Access Level Anyone |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.neuroimage.2019.116341 |
Web address (URL) | https://doi.org/10.1016/j.neuroimage.2019.116341 |
Publication dates | |
Online | 08 Nov 2019 |
15 Feb 2020 | |
Publication process dates | |
Accepted | 05 Nov 2019 |
Deposited | 12 Nov 2019 |
Funder | Economic and Social Research Council (ESRC) |
Nanyang Technological University | |
Ministry of Education (Singapore) | |
Economic and Social Research Council (ESRC) | |
Copyright holder | © 2019 The Authors |
https://repository.uel.ac.uk/item/87464
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File access level: Anyone |
Supplemental file
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File access level: Anyone |
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