Capacity for social contingency detection continues to develop across adolescence

The capacity for dynamically coordinating behaviour is assumed to have largely matured in infancy. In adolescence—another sensitive period for social development—the primary focus on individual social cognition as the main driver of interaction has prevented the study of actual social interaction as behavioural coordination within dyads. From a dynamic perspective, however, capturing real-time social dynamics is essential for the assessment of social interactive processes. In order to improve the understanding of social development during adolescence, we investigated the potential developmental course of social contingency detection in dynamic interactions. Pairs of 205 Belgian adolescents (83 male, 122 female), aged 11–19, engaged in real-time social interaction via the Perceptual Crossing Experiment (PCE). Comparing early, middle and late adolescents, we found a generally higher performance of late adolescents on behavioural and cognitive measures of social contingency detection, while the reported awareness of the implicitly established social interaction was lower in this group overall. Additionally, late adolescents demonstrated faster improvement of behavioural social coordination throughout the experiment, compared with the other groups. Our results indicate that social interactive processes continue to develop throughout adolescence, which manifests as faster social coordination at the behavioural level. This finding underscores dynamic social interaction within dyads as a new opportunity for identifying altered social development during adolescence

Hippocampal pattern separation of emotional information determining risk or resilience in individuals exposed to childhood trauma:Linking exposure to neurodevelopmental alterations and threat anticipation

Childhood adversity increases the risk of developing psychiatric symptoms later in life. However, the neuro-biological mechanisms underlying this association are unknown. This paper reviews the current literature regarding structural and functional alterations in the hippocampus and amygdala following childhood adversity, ultimately converging into a model that proposes impaired 'pattern separation' as an important underlying mechanism associated with risk or resilience for psychopathology through increased fear generalization. In the present model, decreased DG/CA3 activity and amygdala hyper-reactivity are considered to be a consequence of childhood adversity, which in turn may result in impaired pattern separation of emotional information. Impaired pattern separation is hypothesized to result in increased fear generalization, threat anticipation, and social threat interpretation, thus increasing risk for later affective, anxiety and psychotic symptoms. The proposed model provides testable hypotheses for future studies and stresses the need to stratify according to childhood adversity as an etiological factor

Can we use neuroimaging data to differentiate between subgroups of children with ADHD symptoms : A proof of concept study using latent class analysis of brain activity

Background: Multiple pathway models of ADHD suggest that multiple, separable biological pathways may lead to symptoms of the disorder. If this is the case, it should be possible to identify subgroups of children with ADHD based on distinct patterns of brain activity. Previous studies have used latent class analysis (LCA) to define subgroups at the behavioral and cognitive level and to then test whether they differ at the neurobiological level. In this proof of concept study, we took a reverse approach. We applied LCA to functional imaging data from two previously published studies to explore whether we could identify subgroups of children with ADHD symptoms at the neurobiological level with a meaningful relation to behavior or neuropsychology. Methods: Fifty-six children with symptoms of ADHD (27 children with ADHD and 29 children with ASD and ADHD symptoms) and 31 typically developing children performed two neuropsychological tasks assessing reward sensitivity and temporal expectancy during functional magnetic resonance imaging. LCA was used to identify subgroups with similar patterns of brain activity separately for children with ADHD-symptoms and typically developing children. Behavioral and neuropsychological differences between subgroups were subsequently investigated. Results: For typically developing children, a one-subgroup model gave the most parsimonious fit, whereas for children with ADHD-symptoms a two-subgroup model best fits the data. The first ADHD subgroup (n = 49) showed attenuated brain activity compared to the second subgroup (n = 7) and to typically developing children (n = 31). Notably, the ADHD subgroup with attenuated brain activity showed less behavioral problems in everyday life. Conclusions: In this proof of concept study, we showed that we could identify distinct subgroups of children with ADHD-symptoms based on their brain activity profiles. Generalizability was limited due to the small sample size, but ultimately such neurobiological profiles could improve insight in individual prognosis and treatment options

Can we use neuroimaging data to differentiate between subgroups of children with ADHD symptoms : A proof of concept study using latent class analysis of brain activity

Background: Multiple pathway models of ADHD suggest that multiple, separable biological pathways may lead to symptoms of the disorder. If this is the case, it should be possible to identify subgroups of children with ADHD based on distinct patterns of brain activity. Previous studies have used latent class analysis (LCA) to define subgroups at the behavioral and cognitive level and to then test whether they differ at the neurobiological level. In this proof of concept study, we took a reverse approach. We applied LCA to functional imaging data from two previously published studies to explore whether we could identify subgroups of children with ADHD symptoms at the neurobiological level with a meaningful relation to behavior or neuropsychology. Methods: Fifty-six children with symptoms of ADHD (27 children with ADHD and 29 children with ASD and ADHD symptoms) and 31 typically developing children performed two neuropsychological tasks assessing reward sensitivity and temporal expectancy during functional magnetic resonance imaging. LCA was used to identify subgroups with similar patterns of brain activity separately for children with ADHD-symptoms and typically developing children. Behavioral and neuropsychological differences between subgroups were subsequently investigated. Results: For typically developing children, a one-subgroup model gave the most parsimonious fit, whereas for children with ADHD-symptoms a two-subgroup model best fits the data. The first ADHD subgroup (n = 49) showed attenuated brain activity compared to the second subgroup (n = 7) and to typically developing children (n = 31). Notably, the ADHD subgroup with attenuated brain activity showed less behavioral problems in everyday life. Conclusions: In this proof of concept study, we showed that we could identify distinct subgroups of children with ADHD-symptoms based on their brain activity profiles. Generalizability was limited due to the small sample size, but ultimately such neurobiological profiles could improve insight in individual prognosis and treatment options

Changes in adolescents’ daily-life solitary experiences during the COVID-19 pandemic:an experience sampling study

Background: Adolescent solitude was drastically impacted by the COVID-19 pandemic. As solitude is crucial for adolescent development through its association with both positive and negative developmental outcomes, it is critical to understand how adolescents’ daily-life solitary experiences changed as a result of the pandemic. Methods: Using three waves of Experience Sampling Method data from a longitudinal study, we compared adolescents’ daily-life solitary experiences in the early (nT1=100; MAge=16.1; SDAge=1.9; 93% girls) and mid-pandemic (nT2=204; MAge=16.5; SDAge=2.0; 79% girls) to their pre-pandemic experiences. Results: We found that adolescents with lower levels of pre-pandemic social support and social skills reported wanting to be alone less and feeling like an outsider more at both time points during the pandemic. In the mid-pandemic wave, adolescents with higher levels of pre-pandemic social support and social skills reported decreases in positive affect compared to the pre-pandemic wave. Conclusion: This study shows that adolescents’ daily-life solitary experiences worsened throughout the COVID-19 pandemic. There should be continued concern for the wellbeing of all adolescents, not only those already at risk, as effects of the pandemic on mental health might only manifest later.</p

Differences in Adolescents' Daily-Life Experiences of Social and Non-Social Situations, and Associated Risk and Protective Factors

Identifying adolescents for whom social withdrawal may form a specific risk, is crucial for improving prevention and early intervention efforts. Model-based clustering on daily-life data from n=1312 Flemish general population adolescents (65% female, MAge=13.8, n=296 identifying with non-Belgian nationality or ethnicity) identified four groups with different experiences of social withdrawal and being in company. One cluster reported overall positive experiences, one cluster reported overall negative experiences and two clusters reported mixed experiences: positive in-company experiences and negative social withdrawal experiences, and vice versa. Group membership was significantly associated with differences in psychosocial factors, including depression, anxiety, and psychosis. This suggests that daily-life social and non-social experiences are a useful indicator to differentiate between adolescents and identify those potentially at risk