The mediating role of emotion regulation strategies on the association between rejection sensitivity, aggression, withdrawal, and prosociality.

Although previous studies have shown that rejection sensitivity (RS) is related to aggressive, prosocial, and withdrawal behaviors, little is known on the underlying mechanisms. This contribution aims to fill this gap by showing the usefulness of differentiating between the cognitive (expectation) and emotional (anxiety, anger) components of RS and testing the potential mediating role of cognitive emotion regulation (ER) strategies for predicting aggressive, prosocial, and withdrawal tendencies. Results from data collected in a sample of young adults (N = 445) showed that rejection expectation was only negatively linked to prosociality and that 2 functional ER strategies (i.e., positive reappraisal and putting into perspective) negatively mediate this relation. Conversely, dysfunctional ER strategies positively mediated the positive links between anger about rejection and aggression (i.e., catastrophizing and other blaming) as well as withdrawal (i.e., catastrophizing) and between anxiety about rejection and withdrawal (i.e., self-blame and rumination). We discussed the implications of the results for the comprehension of the role of ER strategies in behaviors linked to RS. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Task rule and choice are reflected by layer-specific processing in rodent auditory cortical microcircuits.

The primary auditory cortex (A1) is an essential, integrative node that encodes the behavioral relevance of acoustic stimuli, predictions, and auditory-guided decision-making. However, the realization of this integration with respect to the cortical microcircuitry is not well understood. Here, we characterize layer-specific, spatiotemporal synaptic population activity with chronic, laminar current source density analysis in Mongolian gerbils (Meriones unguiculatus) trained in an auditory decision-making Go/NoGo shuttle-box task. We demonstrate that not only sensory but also task- and choice-related information is represented in the mesoscopic neuronal population code of A1. Based on generalized linear-mixed effect models we found a layer-specific and multiplexed representation of the task rule, action selection, and the animal's behavioral options as accumulating evidence in preparation of correct choices. The findings expand our understanding of how individual layers contribute to the integrative circuit in the sensory cortex in order to code task-relevant information and guide sensory-based decision-making.