Dyadic behavioral synchrony between behaviorally inhibited and non-inhibited peers is associated with concordance in EEG frontal Alpha asymmetry and Delta-Beta coupling

Disentangling the role of different resting-state neural markers of adolescent behavioral inhibition and social anxiety

One of the most reliable predictors of adolescent social anxiety is the temperamental profile of behavioral inhibition (BI), but there is considerable heterogeneity in this association. Resting-state EEG-based neural markers, namely frontal alpha asymmetry and delta-beta coupling (DBC), hold promise for improving our understanding of the relation between BI and social anxiety symptoms during adolescence. The current study aimed to (1) clarify the relation between these neural markers, BI, and social anxiety and (2) examine the moderating role, individually, of frontal alpha asymmetry and DBC on the BI-social anxiety link. Participants were 97 adolescents (Mage = 14.29 years, SDage = .98; 84.4 % White, 3.1 % Black, 12.5 % multiracial; 54.6 % female) and their parents. Parents reported on adolescent BI and adolescents self-reported social anxiety symptoms. Additionally, adolescents provided EEG data across a 6-minute resting task, from which measures of frontal alpha asymmetry and DBC were derived. Results indicated that stronger DBC was directly associated with higher social anxiety symptoms, but not BI, and did not moderate the association between BI and social anxiety. In contrast, frontal alpha asymmetry was not directly associated with either BI or social anxiety but interacted with BI to predict avoidance and distress to social situations, such that greater relative right activation predicted a stronger BI-social anxiety link. However, this effect did not survive correction for multiple comparisons. Findings suggest that high DBC may mark a general vulnerability for social anxiety symptoms, whereas frontal alpha asymmetry may potentiate the risk for social anxiety symptoms specifically among BI youth.

The role of the target language culture on Arabic learners' fondness for Arabic poetry

As an important carrier of culture, poetry plays a significant role in deepening language learners' understanding of the target language culture as well as enhancing their language skills; however, the effect of the target language culture on language learners' enjoyment of poetry remains unclear. The study served as an attempt to shed light on the point of whether the target language culture has different effects on high- and low-level Chinese Arabic learners' fondness for Arabic poetry with the use of pictures related to Arabic culture and those not related to Arabic culture. In the current study, 40 Arabic learners (20 high-level and 20 low-level) scored the Arabic poem line based on their fondness for it after viewing two kinds of picture with electroencephalogram (EEG) recording. Frontal alpha asymmetry index as a correlate of approach and avoidance related motivation measured by EEG power in the alpha band (8-13 Hz) was calculated for examining whether the behavioral results of Arabic learners' fondness for poetry are in line with the results of changes in the related EEG components. Behavioral results illustrated that low-level subjects showed significantly less liking for Arabic poetry after viewing pictures related to Arabic culture compared to those not related to Arabic culture. The high-level subjects did not show a significant difference in the level of liking for Arabic poetry between the two cases. FAA results demonstrated that low-level subjects presented a significant avoidance-related responses to Arabic poetry after viewing pictures related to Arabic culture in comparison to viewing pictures not related to Arabic culture; while the FAA values did not differ significantly between the two cases in high-level subjects, which is in line with behavioral results. The findings of this research can benefit teachers in motivating students to learn poetry in foreign language curriculum and also contribute to the literature on the effect of target language culture on language learners' enjoyment of poetry.

Interactions among stress, behavioral inhibition, and delta-beta coupling predict adolescent anxiety during the COVID-19 pandemic

The COVID-19 pandemic brought about unprecedented changes and uncertainty to the daily lives of youth. The range of adjustment in light of a near-universal experience of COVID restrictions highlights the importance of identifying factors that may render some individuals more susceptible to heightened levels of anxiety during stressful life events than others. Two risk factors to consider are temperamental behavioral inhibition (BI) and difficulties in emotion regulation (ER). As such, the current paper focused on BI examined prior to COVID, because of its developmental link to anxiety and ER, as difficulties may be associated with differences in anxiety. We examined a neurocognitive marker of ER processes, delta-beta coupling (DBC). The current paper had two goals: (1) to examine BI in relation to COVID-related worry and social anxiety experienced during the pandemic, and (2) to explore the role of individual differences in early DBC in the relationship between BI and anxiety outcomes 6 months apart during COVID-19 (n = 86; T1 Mage  = 15.95, SD = 1.73; T6 Mage  = 16.43, SD = 1.73). We found support for the moderating role of DBC in the relationship between BI levels and social anxiety disorder (SAD) symptom severity during the pandemic. Here, high BI was predictive of increased SAD symptom levels in adolescents with stronger DBC.

EEG-based Emotion Recognition Using Sub-Band Time-Delay Correlations

Emotion recognition is a challenging task with many potential applications in psychology, psychiatry, and human-computer interaction (HCI). The use of time-delay information in the controlled time-delay stability (cTDS) algorithm can help to capture the temporal dynamics of EEG signals, including sub-band information and bi-directional coupling that can aid in emotion recognition and identification of specific connectivity patterns between brain rhythms. Incorporating EEG frequency bands can be used to design better emotion recognition systems. This paper evaluates the cTDS algorithm for binary classification tasks of arousal and valence using EEG sub-band signals. This method achieved a high accuracy of 91.1% for arousal and 91.7% for valence based on one electrode recording site at Fp1. The cTDS algorithm is a promising approach to analyzing brain network interactions. It can be particularly applicable to arousal and valence classification tasks, especially within a complex, multimodal feature space associated with understanding psychiatric disorders and HCI applications.

Relations between social attention, expressed positive affect and behavioral inhibition during play

Flexible social attention, including visually attending to social interaction partners, coupled with positive affect may facilitate adaptive social functioning. However, most research assessing social attention relies on static computer-based paradigms, overlooking the dynamics of social interactions and limiting understanding of individual differences in the deployment of naturalistic attention. The current study used mobile eye-tracking to examine relations between social attention, expressed affect, and behavioral inhibition during naturalistic play in young children. Children (N = 28, Mage = 6.12, 46.4% girls, 92.9% White) participated in a 5-min free play with a novel age- and sex-matched peer while mobile eye-tracking data were collected. Interactions were coded for social attention and expressed affect and modeled second-by-second, generating 4,399 observations. Children spent more time dwelling on toys than on peers or anywhere else in the room. Further analyses demonstrated children were almost twice as likely to gaze at their peer when simultaneously self-expressing positive affect. Additionally, children were more than twice as likely and more than three times as likely to self-express positive affect when dwelling on peer or in the presence of peer-expressed positive affect, respectively. Behavioral inhibition was not significantly related to social attention. However, children higher in behavioral inhibition were less likely to self-express positive affect in the presence of peer-expressed positive affect. The current results provide a snapshot of relations between social attention, expressed affect and individual differences during play and provide guidance for future work assessing the roles of social attention and positive affect in facilitating positive social interactions. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Spectral parameterization for studying neurodevelopment: How and why

A growing body of literature suggests that the explicit parameterization of neural power spectra is important for the appropriate physiological interpretation of periodic and aperiodic electroencephalogram (EEG) activity. In this paper, we discuss why parameterization is an imperative step for developmental cognitive neuroscientists interested in cognition and behavior across the lifespan, as well as how parameterization can be readily accomplished with an automated spectral parameterization ("specparam") algorithm (Donoghue et al., 2020a). We provide annotated code for power spectral parameterization, via specparam, in Jupyter Notebook and R Studio. We then apply this algorithm to EEG data in childhood (N = 60; Mage = 9.97, SD = 0.95) to illustrate its utility for developmental cognitive neuroscientists. Ultimately, the explicit parameterization of EEG power spectra may help us refine our understanding of how dynamic neural communication contributes to normative and aberrant cognition across the lifespan. Data and annotated analysis code for this manuscript are available on GitHub as a supplement to the open-access specparam toolbox.

Parent-to-Child Anxiety Transmission Through Dyadic Social Dynamics: A Dynamic Developmental Model

The intergenerational transmission of psychopathology is one of the strongest known risk factors for childhood disorder and may be a malleable target for prevention and intervention. Anxious parents have distinct parenting profiles that impact socioemotional development, and these parenting effects may result in broad alterations to the biological and cognitive functioning of their children. Better understanding the functional mechanisms by which parental risk is passed on to children can provide (1) novel markers of risk for socioemotional difficulties, (2) specific targets for intervention, and (3) behavioral and biological indices of treatment response. We propose a developmental model in which dyadic social dynamics serve as a key conduit in parent-to-child transmission of anxiety. Dyadic social dynamics capture the moment-to-moment interactions between parent and child that occur on a daily basis. In shaping the developmental trajectory from familial risk to actual symptoms, dyadic processes act on mechanisms of risk that are evident prior to, and in the absence of, any eventual disorder onset. First, we discuss dyadic synchrony or the moment-to-moment coordination between parent and child within different levels of analysis, including neural, autonomic, behavioral, and emotional processes. Second, we discuss how overt emotion modeling of distress is observed and internalized by children and later reflected in their own behavior. Thus, unlike synchrony, this is a more sequential process that cuts across levels of analysis. We also discuss maladaptive cognitive and affective processing that is often evident with increases in child anxiety symptoms. Finally, we discuss additional moderators (e.g., parent sex, child fearful temperament) that may impact dyadic processes. Our model is proposed as a conceptual framework for testing hypotheses regarding dynamic processes that may ultimately guide novel treatment approaches aimed at intervening on dyadically linked biobehavioral mechanisms before symptom onset.

Delta-beta correlation predicts adaptive child emotion regulation concurrently and two years later

Emotion regulation (ER), the ability to flexibly monitor and modify emotions, is related to positive adjustment throughout the lifespan. Biological indexes of ER in childhood that predict behavior are valuable for clinical applications and our understanding of affective neurodevelopment. Delta-beta correlation (DBC), or the coupling between resting state slow-wave (delta) and fast-wave (beta) neural oscillations derived from EEG, may be a metric of the functional coherence between subcortical and cortical neural circuitry implicated in ER. Yet, little is understood about how DBC corresponds to observed ER during emotional challenges. To address this question, in the present study, resting-state EEG was recorded to generate DBC when children were 5-7 years old (T1) and again two years later (T2). Children also completed two emotionally challenging behavioral tasks [delay of gratification (DoG) task and waiting task (WT)] from which observed ER strategies were subsequently coded. Results showed that higher DBC was associated with greater use of adaptive, and relatively active, ER strategies. Specifically, higher frontal DBC at T1 longitudinally predicted greater use of the ER strategy alternative activity engagement and greater parent-reported positive ER at T2. These findings add to growing evidence supporting the use of resting state DBC as a neurophysiological index of ER with clinically and developmentally relevant predictive power.

Cracking the Code of Live Human Social Interactions in Autism: A Review of the Eye-Tracking Literature

Human social interaction involves a complex, dynamic exchange of verbal and non-verbal information. Over the last decade, eye-tracking technology has afforded unique insight into the way eye gaze information, including both holding gaze and shifting gaze, organizes live human interactions. For example, while playing a social game together, speakers end their turn by directing gaze at the listener, who begins to speak with averted gaze (Ho et al., 2015). These findings reflect how eye gaze can be used to signal important turn-taking transitions in social interactions. Deficits in conversational turn-taking is a core feature of autism spectrum disorders. Individuals on the autism spectrum also have notable difficulties processing eye gaze information (Griffin & Scherf, 2020). A central hypothesis in the literature is that the difficulties in processing eye gaze information are foundational to the social communication deficits that make social interactions so challenging for individuals on the autism spectrum. Although eye-tracking technology has been used extensively to assess the way individuals on the spectrum attend to stimuli presented on computer screens (for review see Papagiannopoulou et al., 2014), it has rarely been used to evaluate the critical question regarding whether and how autistic individuals process non-verbal social cues from their partners during live social interactions. Here, we review this emerging literature with a focus on characterizing the experimental paradigms and eye-tracking procedures to understand the scope (and limitations) of research questions and findings. We discuss the theoretical implications of the findings from this review and provide recommendations for future work that will be essential to understand whether and how fundamental difficulties in perceiving and processing information about eye gaze cues interfere with social communication skills in autism.

Psychometric properties of infant electroencephalography: Developmental stability, reliability, and construct validity of frontal alpha asymmetry and delta-beta coupling

Resting-state electroencephalography (EEG) provides developmental neuroscientists a noninvasive view into the neural underpinnings of cognition and emotion. Recently, the psychometric properties of two widely used neural measures in early childhood-frontal alpha asymmetry and delta-beta coupling-have come under scrutiny. Despite their growing use, additional work examining how the psychometric properties of these neural signatures may change across infancy is needed. The current study examined the developmental stability, split-half reliability, and construct validity of infant frontal alpha asymmetry and delta-beta coupling. Infants provided resting-state EEG data at 8, 12, and 18 months of age (N = 213). Frontal alpha asymmetry and delta-beta coupling showed significant developmental change from 8 to 18 months. Reliability for alpha asymmetry, and alpha, delta, and beta power, individually, was generally good. In contrast, the reliability of delta-beta coupling scores was poor. Associations between frontal alpha asymmetry and approach tendencies generally emerged, whereas stronger (over-coupled) delta-beta coupling scores were associated with profiles of dysregulation and low inhibition. However, the individual associations varied across time and specific measures of interest. We discuss these findings with a developmental lens, highlighting the importance of repeated measures to better understand links between neural signatures and typical and atypical development.

Deriving within-person estimates of delta-beta coupling: A novel measure for identifying individual differences in emotion and neural function in childhood

Delta-beta coupling is increasingly used to understand early emotional development. However, little is known about the development of the coupling, limiting its utility for identifying normative or aberrant functioning. We used a prospective longitudinal sample (N = 122) to compare measures of within-person and between-person coupling between ages 3 and 5, track the developmental trajectory of coupling, identify individual differences in patterns of development, and explore emotion-related predictors and outcomes of discrete developmental patterns. Within-person measures, limited in overall utility, were most useful when (1) statistical approaches produced more homogenous groups within the overall sample (extreme groups or latent classes) or (2) the full developmental course was considered. We found two trajectories of change in frontal coupling and three trajectories of change in parietal coupling. Coupling trajectories were predicted by observed fear and approach/avoidance at age 3. In addition, high levels of frontal coupling at age 3 that declined and then levelled out through age 5 were associated with lower levels of internalizing by age 5. This work provides a foundation for understanding normative change in delta-beta coupling across the preschool years and useful insight for the use of this metric in future work.

Advancing models and methods of emotional concordance

Emotional concordance refers to dynamic coordination of two or more components of the emotion system in response to environmental demands. Concordance can occur within a person (e.g., sympathetic arousal with a fearful expression) and between persons (e.g., similar emotional expressions in couples). This introduction to the 2021 special issue examines current models and methods of concordance. First, we highlight how emotion researchers have begun to focus on concordance across a range of populations and contexts. Second, we note concordance research benefits from examination of multiple emotion systems simultaneously (within- and/or between-persons), resulting in a multivariate time series. Finally, we describe recent efforts to understand the functional (e.g., health-related) consequences of concordance. The articles in this special issue collectively point toward exciting new directions in examining whether and when concordance occurs, and how it varies by individual differences, context, and measures.