Revealing the neurobiology underlying interpersonal neural synchronization with multimodal data fusion

Lotter, Leon D.; Gerloff, Christian; Bell, Laura; Niephaus, Alexandra; Kruppa, Jochen; Dukart, Juergen; Schulte‐Rüther, Martin; Reindl, Vanessa; Konrad, Kerstin

doi:10.1016/j.neubiorev.2023.105042

Cited by 16 publications

(10 citation statements)

References 149 publications

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“…Our results showed significantly increased parent-child INS during collaborative (versus individual) problem-solving in frontal and temporal brain regions for dyads comprising both mothers and fathers. Both the dlPFC and TPJ have been associated with a variety of socio-cognitive processes (i.e., shared attention and intention, joint decisionmaking, mutual prediction, and mentalizing) and are thought to be particularly involved in INS (Czeszumski et al, 2020;Gvirts & Perlmutter, 2020;Hoehl et al, 2020;Lotter et al, 2023;Raz & Saxe, 2020;Redcay & Schilbach, 2019). We previously reported increased mother-child INS during collaborative problem-solving in the same areas within a different sample of mother-child dyads .…”

Section: Ins During Parent-child Problem-solvingmentioning

confidence: 81%

Visualizing the Invisible Tie: Linking Parent-Child Neural Synchrony to Parents’ and Children’s Attachment Representations

Nguyen¹,

Kungl²,

Hoehl³

et al. 2023

Preprint

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It is a central tenet of attachment theory that individual differences in attachment representations organize behavior during social interactions. Secure attachment representations also facilitate behavioral synchrony, a key component of adaptive parent-child interactions. Yet, the dynamic neural processes underlying these interactions and the potential role of attachment representations remain largely unknown. A growing body of research indicates that interpersonal neural synchrony (INS) could be a potential neurobiological correlate of high interaction and relationship quality. In this study, we examined whether interpersonal neural and behavioral synchrony during parent-child interaction are associated with parent and child attachment representations. In total, 140 parents (74 mothers and 66 fathers) and their offspring (age 5-6 years; 60 girls and 80 boys) engaged in cooperative versus individual problem-solving. INS in frontal and temporal regions was assessed with functional near-infrared spectroscopy (fNIRS) hyperscanning. Attachment representations were ascertained by means of the Adult Attachment Interview in parents and a story-completion task in children, alongside video-coded behavioral synchrony. Findings revealed increased INS during cooperative versus individual problem solving across all dyads and topographic differences pertaining to parental biological sex. Remarkably, individual differences in attachment representations coincided with INS within frontal regions among mother-child dyads, but INS within temporal regions among daughter-parent dyads. Attachment representations were not associated with behavioral synchrony. Our data thus provide further indication for INS as a promising correlate to probe the neurobiological underpinnings of attachment representations in the context of early parent-child interactions.

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Section: Ins During Parent-child Problem-solvingmentioning

confidence: 81%

Visualizing the Invisible Tie: Linking Parent-Child Neural Synchrony to Parents’ and Children’s Attachment Representations

Nguyen¹,

Kungl²,

Hoehl³

et al. 2023

Preprint

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“…Mentalizing ability is the ability to understand the thoughts, feelings, and intentions of others 8,9 . Although many studies have explored the neural activities of brain regions associated with executive functions and mentalization abilities during social behaviours 10,11 , the specific neural oscillatory dynamics supporting their interactions remain to be fully elucidated.…”

Section: Introductionmentioning

confidence: 99%

Exploring the neural mechanisms underlying cooperation and competition behaviour: Insights from SEEG Hyperscanning

Zhang,

Qiao,

et al. 2024

Preprint

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Cooperation and competition are two of the most important social behaviours in human society. Investigating human social behavior in cooperative and competitive contexts, involving the insula and inferior frontal gyrus (IFG) related to executive function and mentalizing, is crucial for comprehending our social nature. However, the detailed study of their neural oscillations is limited by the deep location of the insula and the time resolution constraints of existing imaging techniques. This study aims to employ advanced hyperscanning and stereo-electroencephalography (SEEG), with high temporal and spatial resolution, to examine intra- and inter-brain dynamics within the insula and IFG during cooperative and competitive tasks. We identified distinct high-gamma responses and observed varying connectivity patterns, with the IFG modulating insula activity during competition, and balanced interactions between the insula and IFG occurring during cooperation. Notably, we observed enhanced inter-brain insula synchronization in competition and greater IFG synchronization in cooperation, elucidating the gamma band's role in social interactions. These results enhance our understanding of the neural bases of cooperation and competition, emphasizing the critical roles of both insula and IFG in social cognition.

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“…Studies have emphasized the importance of neural synchrony in various cognitive processes such as attention, memory, and sensory processing [17]. Abnormal synchronization patterns have been linked to neuropsychiatric conditions like schizophrenia and epilepsy, highlighting the importance of comprehending the principles that control brain network synchronization [18,19]. Understanding the mechanisms that cause synchronization between different brain regions is essential for uncovering the intricacies of brain function and treating neurological and psychiatric disorders.…”

Section: Introductionmentioning

confidence: 99%

The Time Lag in Local Field Potential Signals for the Development of its Bayesian Belief Network

Tsukahara,

Junior,

Ruggiero

et al. 2024

Preprint

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Purpose: : The objective is to suggest time as an important variable to consider in the network model, specifically when discussing causality. Methods: : There is a consideration of the context of functional connectivity because of the time importance of observing the feature inside the neuroscience context. Using a set comprised of three rats Local Field Potentials, a network model was constructed from data using the Bayesian Network method, considering and not taking into account the time delay of communication among brain areas recorded in this study. To this end, there was the appliance of the Delayed Mutual Information method to identify the lag between Local Field Potentials and K2 Score to compare the models. Results: : Bayesian Network depicted the probabilistic relationship among rat´s brain areas. Delayed Mutual Information captured the lag among brain areas, and after its appliance on the Bayesian Network model, posed better results. Conclusion: : The main contribution of this study is to incorporate the minor delays inside the Bayesian Network method, achieved by applying the Delayed Mutual Information method before its application. That supports the neurophysiology dynamics considering an essential feature in the suggested methodology to support the functional connectivity analysis among brain areas.

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Revealing the neurobiology underlying interpersonal neural synchronization with multimodal data fusion

Cited by 16 publications

References 149 publications

Visualizing the Invisible Tie: Linking Parent-Child Neural Synchrony to Parents’ and Children’s Attachment Representations

Visualizing the Invisible Tie: Linking Parent-Child Neural Synchrony to Parents’ and Children’s Attachment Representations

Exploring the neural mechanisms underlying cooperation and competition behaviour: Insights from SEEG Hyperscanning

The Time Lag in Local Field Potential Signals for the Development of its Bayesian Belief Network

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