The Neuroscience of Emotion Regulation Development: Implications for Education

Emotional development through the lens of affective social competence

Emotion competence, particularly as manifested within social interaction (i.e., affective social competence) is an important contributor to children's optimal social and psychological functioning. In this article we highlight advances in understanding three processes involved in affective social competence: first, experiencing emotions, second, effectively communicating one's emotions, and third, understanding others' emotions. Experiencing emotion is increasingly understood to include becoming aware of, accepting, and managing one's emotions. Effective communication of emotion involves multimodal signaling rather than reliance on a single modality such as facial expressions. Emotion understanding includes both recognizing others' emotion signals and inferring probable causes and consequences of their emotions. Parents play an important role in modeling and teaching children all three of these skills, and interventions are available to aid in their development.

The "Emotional Side" of Entrepreneurship: A Meta-Analysis of the Relation between Positive and Negative Affect and Entrepreneurial Performance

The experience of work in an entrepreneurial context is saturated with emotional experiences. While the literature on the relation between affect and entrepreneurial performance (EP) is growing, there was no quantitative integration of the results so far. This study addresses this gap and meta-analytically integrates the results from 17 studies (N = 3810) in order to estimate the effect size for the relation between positive (PA) and negative affect (NA), on the one hand, and EP, on the other hand. The meta-analysis includes studies in English language, published until August 2016. The results indicate a significant positive relation between PA and EP, r = 0.18. The overall NA – EP relation was not significant, r = -0.12. Only state NA has a significant negative relation with EP (r = -0.16). The moderating role of several conceptual (i.e., emotion duration, integrality etc.), sample (i.e., gender, age, education) and methodological characteristics of the studies (i.e., type of measurements etc.) are explored and implications for future research are discussed.

Neural Predictors of Decisions to Cognitively Control Emotion

Deciding to control emotional responses is a fundamental means of responding to environmental challenges, but little is known about the neural mechanisms that predict the outcome of such decisions. We used fMRI to test whether human brain responses during initial viewing of negative images could be used to predict decisions to regulate affective responses to those images. Our results revealed the following: (1) decisions to regulate were more frequent in individuals exhibiting higher average levels of activity within the amygdala and regions of PFC known a priori to be involved in the cognitive control of emotion and (2) within-person expression of a distributed brain pattern associated with regulating emotion predicted choosing to regulate responses to particular stimuli beyond the predictive value of stimulus intensity or self-reports of emotion. These results demonstrate the behavioral relevance of variability in brain responses to aversive stimuli and provide a model that leverages this variability to predict behavior.SIGNIFICANCE STATEMENT Everyone experiences stressors, but how we respond to them can range from protracted disability to resilience and growth. One key process underlying this variability is the agentic decision to exert control over emotional responses. We present an fMRI-based model predicting decisions to control emotion, finding that activity in brain regions associated with the generation and regulation of emotion was predictive of which people choose to regulate frequently and a distributed brain pattern associated with regulating emotion was predictive of which stimuli regulation was chosen. These brain variables predicted future decisions to regulate emotion beyond what could be predicted from stimulus and self-report variables.