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.

Decoding face recognition abilities in the human brain.

Why are some individuals better at recognizing faces? Uncovering the neural mechanisms supporting face recognition ability has proven elusive. To tackle this challenge, we used a multimodal data-driven approach combining neuroimaging, computational modeling, and behavioral tests. We recorded the high-density electroencephalographic brain activity of individuals with extraordinary face recognition abilities-super-recognizers-and typical recognizers in response to diverse visual stimuli. Using multivariate pattern analyses, we decoded face recognition abilities from 1 s of brain activity with up to 80% accuracy. To better understand the mechanisms subtending this decoding, we compared representations in the brains of our participants with those in artificial neural network models of vision and semantics, as well as with those involved in human judgments of shape and meaning similarity. Compared to typical recognizers, we found stronger associations between early brain representations of super-recognizers and midlevel representations of vision models as well as shape similarity judgments. Moreover, we found stronger associations between late brain representations of super-recognizers and representations of the artificial semantic model as well as meaning similarity judgments. Overall, these results indicate that important individual variations in brain processing, including neural computations extending beyond purely visual processes, support differences in face recognition abilities. They provide the first empirical evidence for an association between semantic computations and face recognition abilities. We believe that such multimodal data-driven approaches will likely play a critical role in further revealing the complex nature of idiosyncratic face recognition in the human brain.

Identifying Clusters of Adolescents Based on Their Daily-Life Social Withdrawal Experience.

Social withdrawal is often presented as overall negative, with a focus on loneliness and peer exclusion. However, social withdrawal is also a part of normative adolescent development, which indicates that groups of adolescents potentially experience social withdrawal differently from one another. This study investigated whether different groups of adolescents experienced social withdrawal in daily life as positive versus negative, using experience sampling data from a large-scale study on mental health in general population adolescents aged 11 to 20 (n = 1913, MAge = 13.8, SDAge = 1.9, 63% female) from the Flemish region in Belgium. Two social withdrawal clusters were identified using model-based cluster analysis: one cluster characterized by high levels of positive affect and one cluster characterized by high levels of negative affect, loneliness and exclusion. Logistic regression showed that boys had 66% decreased odds of belonging to the negative cluster. These results show that daily-life social withdrawal experiences are heterogeneous in adolescence, which strengthens the view that, both in research and clinical practice, social withdrawal should not be seen as necessarily maladaptive.

The Impact of COVID-19 on Adolescents' Daily Lives: The Role of Parent-Child Relationship Quality.

COVID-19 lockdown measures have profoundly impacted adolescent' daily life, with research suggesting an increase in irritability, stress, loneliness, and family conflict. A potential protective factor is parent-child relationship quality; however, no studies have investigated this. We used data from SIGMA, a longitudinal, experience sampling cohort study, in which N = 173 adolescents aged 11 to 20 were tested before and during COVID-19. Multilevel analyses showed decreased daily-life irritability and increased loneliness from pre- to mid-pandemic. Daily-life stress levels were unchanged. Relationship quality was negatively associated with irritability and loneliness and buffered against the increase in loneliness. Effect sizes were small and do not support a strong effect of the first lockdown on irritability, stress, loneliness, and family conflict in adolescents.