Dynamic mutual predictions during social learning: A computational and interbrain model.

During social interactions, we constantly learn about the thoughts, feelings, and personality traits of our interaction partners. Learning in social interactions is critical for bond formation and acquiring knowledge. Importantly, this type of learning is typically bi-directional, as both partners learn about each other simultaneously. Here we review the literature on social learning and propose a new computational and neural model characterizing mutual predictions that take place within and between interactions. According to our model, each partner in the interaction attempts to minimize the prediction error of the self and the interaction partner. In most cases, these inferential models become similar over time, thus enabling mutual understanding to develop. At the neural level, this type of social learning may be supported by interbrain plasticity, defined as a change in interbrain coupling over time in neural networks associated with social learning, among them the mentalizing network, the observation-execution system, and the hippocampus. The mutual prediction model constitutes a promising means of providing empirically verifiable accounts of how relationships develop over time.

I feel you: Prepandemic physiological synchrony and emotional contagion during COVID-19.

The COVID-19 pandemic has a major impact on mental well-being and interpersonal relationships. Nonetheless, little is known about the complex interactions between one's overall perceived interpersonal closeness and physiological or psychological aspects of interpersonal functioning. This study aimed to understand the interaction between perceived interpersonal closeness during COVID-19 and interpersonal mechanisms in predicting well-being. We focused on two interpersonal mechanisms, one physiological and the other psychological: (a) prepandemic physiological synchrony, a physiological measure of interpersonal coupling, and (b) peripandemic emotional contagion, one's tendency to "catch" others' emotions. One hundred fifty-five participants took part in the study. Cardiological interbeat interval synchrony was collected 1.5 to 3 years prior to the beginning of the COVID pandemic in two previous lab studies. Participants were recontacted during the pandemic, this time to complete several questionnaires tapping into perceived interpersonal closeness, tendency for emotional contagion, and psychological well-being during COVID. As hypothesized, overall perceived interpersonal closeness was positively related to well-being. Moreover, this effect was moderated by one's tendency for emotional contagion or by physiological synchrony. Thus, individuals with higher emotional contagion scores or higher physiological synchrony had higher well-being if their interpersonal closeness was perceived as greater. Conversely, their well-being was lower if they perceived their interpersonal closeness as weaker. These results emphasize that individuals may be differentially susceptible to the effects of their relationships on their well-being. Future mental health interventions should consider both the quality of one's perceived interpersonal closeness and the extent to which one is sensitive to others' emotional experiences. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Pre-pandemic electrodermal activity predicts current COVID-related fears: household size during lockdown as a moderating factor.

Background: Despite the immense impact of COVID-19 on mental health, there is a lack of prospective studies examining physiological predictors of current risk factors. Moreover, although physiological processes evidently interact with socio-demographic factors to modulate individuals' response to a crisis, it remains largely unknown how these complex interactions shape people's mental responses to COVID-19. To fill these gaps of knowledge, we chose a potent physiological marker of distress - heightened baseline electrodermal activity (EDA) measured before the pandemic began - and hypothesized it would be related to greater COVID-related fears and worries as a function of individuals' household size.Method: 185 individuals (71% women), who had participated in our lab studies 2-3 years ago, in which we assessed their baseline EDA, completed several questionnaires online, including assessments of their current fears regarding COVID. Participants also reported the number of people in their household, with whom they had been together during a lockdown which was taking place at the time. We used pre-pandemic EDA measures in combination with their household size to predict participants' current fears.Results: Pre-pandemic EDA measures predicted current COVID-related fears and worries. Specifically for the EDA measure "number of skin conductance responses", we further found that the number of people in the household during the lockdown, moderated the abovementioned relationship, such that it occurred in individuals with average and larger households and not in those with small households.Conclusions: We provide a highly relevant and unique combination of physiological, socio-demographic, and psychological measures, which augments the potential to optimally target populations vulnerable to COVID-related distress, and subsequently offer them early mental health interventions.

Pre-pandemic autonomic nervous system activity predicts mood regulation expectancies during COVID-19 in Israel.

Despite the unfolding impact of the COVID-19 pandemic on psychological well-being, there is a lack of prospective studies that target physiological markers of distress. There is a need to examine physiological predictors from the pre-pandemic period to identify and treat individuals at-risk. In this study, our aim was to use pre-pandemic markers of autonomic nervous system (ANS) parasympathetic and sympathetic regulation to predict individuals' psychological well-being during the crisis. We also assessed the role of mood regulation expectancies as a mediator of the association between pre-pandemic physiological measures and COVID-related well-being. In May to June 2020, 185 Israeli adults completed online questionnaires assessing their mood regulation expectancies since COVID-19 began, and their current well-being. These individuals had participated in lab studies 1.5-3 years prior to this assessment, where their physiological measures were taken, including respiratory sinus arrhythmia (RSA) and skin conductance level (SCL). RSA was positively related to mood regulation expectancies during COVID-19 (b = 3.46, 95% CI [0.84, 6.05]). Mood regulation expectancies, in turn, positively predicted well-being during the crisis (b = 0.021, 95% CI [0.016, 0.027]). The mediation was significant and moderated by SCL (index = -0.09, 95% CI [-0.02, -0.0001]), such that it was strongest for individuals with low SCL. We point to pre-pandemic physiological mechanisms underlying individuals' mental well-being during the COVID-19 pandemic. These findings have theoretical, diagnostic, and clinical implications that may refine our understanding of the physiological basis of resilience to the COVID-19 pandemic and thus may be implemented to identify and assist individuals in these times.

Interpersonal autonomic nervous system synchrony and its association to relationship and performance - a systematic review and meta-analysis.

Interpersonal physiological synchrony is the spontaneous temporal coordination of physiological processes between several individuals. This type of synchrony is critical for human relationships, as it promotes two important outcomes: the quality of the relationships between synchronized individuals, and how well synchronized individuals perform together. Nonetheless a clear estimation of the size of the correlations between interpersonal physiological synchrony and relationship or performance outcomes is missing. To address this gap in knowledge was the main goal of the current meta-analysis. We focused on interpersonal physiological synchrony in measures of autonomic nervous system activity, and specifically we examined the distinct branches of the autonomic nervous system. We conducted two meta-analyses: (1) Estimating the association between interpersonal physiological synchrony and relationship outcomes (2) Estimating the association between interpersonal physiological synchrony and performance outcomes. In the first meta-analysis (i.e., relationships), the overall estimated correlation was small with a marginal significance (ES=0.09, p>.10) and high heterogeneity (I2=76.0%). In further sub-group analysis, we discovered a positive relationship for measures of sympathetic synchrony (ES=0.19, p=.02), a negative relationship for measures of parasympathetic synchrony(ES=-0.21, p=.03), and a positive relationship for measures of combined sympathetic and parasympathetic synchrony (ES =0.16, p=.02). As for the second meta-analysis (i.e., performance), the overall effect size of correlation was small (ES=0.26, p<.01) and heterogeneous (I2=52.7%). Our results emphasize the small effect sizes of the correlations between physiological synchrony and performance or relational outcomes, as well as the differential effects for synchrony in sympathetic versus parasympathetic activity. Combined with the high heterogeneity, our results point to the need for a rigorous a-priori scientific approach which distinguishes between different types of physiological synchrony.

In and out of synchrony-Behavioral and physiological dynamics of dyadic interpersonal coordination.

Interpersonal synchrony, the temporal coordination of actions, emotions, thoughts and physiological processes, is a widely studied ubiquitous phenomenon. Research has already established that more synchrony is not always more beneficial, especially in the fields of emotional and physiological synchrony. Despite this fact, the dominant tone in the literature is that behavioral interpersonal synchrony is a pro-social phenomenon, and hence, in social contexts, more behavioral synchrony is generally considered better. In accordance with that tone, the naturally occurring dynamics of moving in and out of synchrony have rarely been studied or considered as an adaptive state. In the present article, we aim to present a new model of interpersonal synchrony, based on the existing literature assessing synchrony as well as the ideas of complex dynamical systems. At the core of our model is the idea that two tendencies exist simultaneously, one to synchronize with others and another to move out of synchrony and act independently. We suggest that an adaptive interpersonal system is a flexible one, able to continuously adjust itself to the social context. We suggest that the concept of meta-stability might be a marker of such a flexible interpersonal system. Moreover, the model considers both behavioral and physiological aspects in order to provide a more extensive account. We present research implications of the model, as well as a demonstration of the model's applicability to data, and provide code researchers can use to analyze their own data in these methods. Finally, we discuss future directions in detail.