Brain-to-brain synchrony in parent-child dyads and the relationship with emotion regulation revealed by fNIRS-based hyperscanning

Reindl, Vanessa; Gerloff, Christian; Scharke, Wolfgang; Konrad, Kerstin

doi:10.1016/j.neuroimage.2018.05.060

Cited by 316 publications

(373 citation statements)

References 62 publications

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“…Activation over the left frontal area is commonly associated with the experience of positive emotions such as joy or interest, whereas right frontal Alpha EEG power is associated with disgust, crying and sadness. Further, individuals who experience mood disorders such as depression exhibit 6 regulation abilities, as assessed via questionnaires (Reindl et al, 2018). Using EEG to examine synchronisation at a finer time-scale, we have also shown that neural synchronicity occurs between adults and infants in the Theta and Alpha bands, and that such dyadic neural connectivity is modulated by eye contact between the adult speaker and infant listener .…”

Section: Intra-individual Neural Network For Emotional Processingmentioning

confidence: 83%

“…due to participants experiencing similar environmental conditions during the experiment). As the duration of trials varied across participants, the longer dataset was cropped to the same length as the shorter dataset for each random pair (Reindl et al, 2018). For each condition and EEG channel, a two-sample t-test (significance level of 5% corrected by false discovery rate for multiple comparisons using the Tukey's honestly significant difference criterion) was performed between the real dataset and the pairrandomised dataset.…”

Section: Statistical Validation Of Connectivity Resultsmentioning

confidence: 99%

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Emotional valence modulates the topology of the parent-infant inter-brain network

Santamaría¹,

Noreika²,

Georgieva³

et al. 2019

Preprint

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Emotional communication between parents and children is crucial during early life, yet little is known about its neural underpinnings. Here, we adopt a dual-brain connectivity approach to assess how emotional valence modulates the parent-infant neural network.Fifteen mothers modelled positive and negative emotions toward pairs of objects during social interaction with their infants (aged 10.3 months) whilst their neural activity was concurrently measured using dual-EEG. Intra-brain and inter-brain network connectivity in the 6-9 Hz (infant Alpha) range was computed during maternal expression of positive and negative emotions using directed (partial directed coherence) and non-directed (phaselocking value) connectivity metrics. Graph theoretical metrics were used to quantify differences in network topology as a function of emotional valence. Inter-brain network indices (Density, Strength and Divisibility) consistently revealed that the integration of parents' and childrens' neural processes was significantly stronger during maternal demonstrations of positive than negative emotions. Further, directed inter-brain metrics indicated that mother-to-infant directional influences were stronger during the expression of positive than negative emotions. 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 interpersonal network topology. (200/200 words) Keywords:EEG hyperscanning, network connectivity, graph theory, emotional expression, mother-infant interaction atypical patterns of EEG asymmetry, commonly showing higher right frontal EEG activity than controls (Gotlib et al., 1998). Recent research has also started to examine intraindividual network topology during emotion processing using graph-theoretic measures. For example, a recent study with adults showed that EEG graph-theoretic features performed better than traditionally used EEG features (such as spectral power and asymmetry) on the automatic classification of affective neural states (Gupta et al. , 2016).Behavioral and neuroimaging studies into early development suggest that the neural architecture for the detection and prioritized processing of emotional expressions, such as fear, emerges sometime during the first year of life (Hoehl, 2013; Hoehl et al.

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Section: Intra-individual Neural Network For Emotional Processingmentioning

confidence: 83%

Section: Statistical Validation Of Connectivity Resultsmentioning

confidence: 99%

Emotional valence modulates the topology of the parent-infant inter-brain network

Santamaría¹,

Noreika²,

Georgieva³

et al. 2019

Preprint

View full text Add to dashboard Cite

show abstract

“…During linguistic interactions, a process of synchronization or coupling between the interlocutors' endogenous neural oscillations takes place, which in adults is a predictor of the listeners' ability to comprehend the speech string (Hasson, Ghazanfar, Galantucci, Garrod, & Keysers, 2012). In infants, this process is less studied, but there is evidence for interpersonal neural coupling during mother-child interaction (Leong et al, 2019;Reindl, Gerloff, Scharke, & Konrad, 2018). The effects of potential disturbances to this process on speakers' productions are unknown, but it is possible that they may lead speakers to adjust their speech patterns as a compensatory mechanism.…”

Section: Discussionmentioning

confidence: 99%

Infant‐directed speech to infants at risk for dyslexia: A novel cross‐dyad design

Kalashnikova

Goswami

Burnham

2020

Infancy

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When mothers speak to infants at risk for developmental dyslexia, they do not hyperarticulate vowels in their infant‐directed speech (IDS). Here, we used an innovative cross‐dyad design to investigate whether the absence of vowel hyperarticulation in IDS to at‐risk infants is a product of maternal infant‐directed behavior or of infants’ parent‐directed cues. Interactions between mothers and infants who were at risk or not at risk for dyslexia were recorded in three conditions: when mothers interacted with (a) their own infants, (b) infants who were not their own but of the same risk status, and (c) infants who were not their own and of the opposite risk status. This design revealed both infant and parent effects. Mothers of not‐at‐risk infants hyperarticulated vowels significantly more when speaking to not‐at‐risk than to at‐risk infants. In contrast, mothers of at‐risk infants hyperarticulated vowels significantly less than NAR mothers, and this was irrespective of infant status. Mothers of not‐at‐risk infants thus adjusted their IDS to the infant's risk status, while mothers of at‐risk infants did not. We suggest that IDS is determined reciprocally by characteristics of both partners in the dyad: Both infant and maternal factors are essential for the vowel hyperarticulation component of IDS.

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“…It involved groups of participants (four) tested in a naturalistic setting (cooperative communication). Furthermore, a recently developed fNIRS system for babies allows for investigating brain functions related to parent-child interaction (Reindl et al, 2018). Such experiments are proof of the concept that studying neural between-brain underpinnings is feasible, and it brings new insight into the understanding of human cognition.…”

Section: Fnirsmentioning

confidence: 99%

Hyperscanning: A Valid Method to Study Neural Inter-brain Underpinnings of Social Interaction

Czeszumski

Eustergerling

Lang

et al. 2020

Front. Hum. Neurosci.

318

239

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Social interactions are a crucial part of human life. Understanding the neural underpinnings of social interactions is a challenging task that the hyperscanning method has been trying to tackle over the last two decades. Here, we review the existing literature and evaluate the current state of the hyperscanning method. We review the type of methods (fMRI, M/EEG, and fNIRS) that are used to measure brain activity from more than one participant simultaneously and weigh their pros and cons for hyperscanning. Further, we discuss different types of analyses that are used to estimate brain networks and synchronization. Lastly, we present results of hyperscanning studies in the context of different cognitive functions and their relations to social interactions. All in all, we aim to comprehensively present methods, analyses, and results from the last 20 years of hyperscanning research.

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Brain-to-brain synchrony in parent-child dyads and the relationship with emotion regulation revealed by fNIRS-based hyperscanning

Cited by 316 publications

References 62 publications

Emotional valence modulates the topology of the parent-infant inter-brain network

Emotional valence modulates the topology of the parent-infant inter-brain network

Infant‐directed speech to infants at risk for dyslexia: A novel cross‐dyad design

Hyperscanning: A Valid Method to Study Neural Inter-brain Underpinnings of Social Interaction

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