The COVID-19 pandemic has hit humanity globally. Besides its obvious threats to our physical health and economic stability, one can only speculate about the pandemic’s and its countermeasures’ psychosocial impacts. Here, we took advantage of a sample of healthy male participants who had completed psychosocial measures on mental health, environmental concern, and prejudice against asylum-seekers just before and during the nationwide lockdown in Germany in spring 2020. A follow-up assessment of 140 participants during the lockdown provided a unique opportunity to track psychosocial changes in a prospective longitudinal study design. In comparison to before the lockdown (1) mental health worsened, (2) environmental concern increased, and (3) prejudice against asylum-seekers decreased. Our study demonstrates psychosocial “side effects” of the pandemic that bring both challenges and opportunities for our society with regard to the handling of psychological reactions to this pandemic and further global crises, including climate change and mass migration.
for example by experimentally modifying the environment of resting EEG recordings 68 , analyzing the relationship between task-independent and task-dependent neural activity 16,69,70 , analyzing brain-to-brain synchronization affecting prosociality 71 , and linking the four resting EEG networks to psychological constructs known to affect prosociality (e.g. empathy, perspective-taking 72-74). Methods Participants. Based on an estimated average medium effect size of associations between resting EEG networks' temporal dynamics and trait variables in similar research 75 , 55 participants (α = 0.05, β = 0.85) are needed to detect a significant effect (Correlation, bivariate normal model; G-Power 76). Our sample included 55 healthy, right-handed participants (M = 24.22 y, s.d. = 4.20, range: 19-40 y). Due to potential confounds associated with hormonal variation in the menstrual cycle and the complexities associated with controlling for this variation in the experimental design 62,63 , only male participants were enrolled in this initial project. All participants were right-handed, and free of current or previous history of physical and psychiatric disorders, and alcohol or drug abuse. The Ethics Committee of the University of Freiburg approved this study, which was conducted according to the principles expressed in the Declaration of Helsinki.
People display a high degree of heterogeneity in risk-taking behaviour, but this heterogeneity remains poorly understood. Here, we use a neural trait approach to examine if task-independent, brain-based differences can help uncover the sources of heterogeneity in risky decision-making. We extend prior research in two key ways. First, we disentangled risk-taking and strategic consistency using novel measures afforded by the Balloon Analogue Risk Task. Second, we applied a personality neuroscience framework to explore why personality traits are typically only weakly related to risk-taking behaviour. We regressed participants' (N = 104) source localized resting-state electroencephalographic activity on risk-taking and strategic consistency. Results revealed that higher levels of resting-state delta-band current density (reflecting reduced cortical activation) in the left dorsal anterior cingulate cortex and the left dorsolateral prefrontal cortex were associated with increased risk-taking and decreased strategic consistency, respectively. These results suggest that heterogeneity in risk-taking behaviour is associated with neural dispositions related to sensitivity to the risk of loss, whereas heterogeneity in strategic consistency is associated with neural dispositions related to strategic decision-making. Finally, extraversion, neuroticism, openness, and self-control were broadly associated with both of the identified neural traits, which in turn mediated indirect associations between personality traits and behavioural measures. These results provide an explanation for the weak direct relationships between personality traits and risk-taking behaviour, supporting a personality neuroscience framework of traits and decision-making.
Social interactions require both the rapid processing of multifaceted socio-affective signals (e.g., eye gaze, facial expressions, gestures) and their integration with evaluations, social knowledge, and expectations. Researchers interested in understanding complex social cognition and behavior face a “black box” problem: What are the underlying mental processes rapidly occurring between perception and action and why are there such vast individual differences? In this review, we promote electroencephalography (EEG) microstates as a powerful tool for both examining socio-affective states (e.g., processing whether someone is in need in a given situation) and identifying the sources of heterogeneity in socio-affective traits (e.g., general willingness to help others). EEG microstates are identified by analyzing scalp field maps (i.e., the distribution of the electrical field on the scalp) over time. This data-driven, reference-independent approach allows for identifying, timing, sequencing, and quantifying the activation of large-scale brain networks relevant to our socio-affective mind. In light of these benefits, EEG microstates should become an indispensable part of the methodological toolkit of laboratories working in the field of social and affective neuroscience.
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