BackgroundAggression comprises a heterogeneous set of behavioral patterns that aim to harm and hurt others. Empathy represents a potential mechanism that inhibits aggressive conduct and enhances prosocial behavior. Nevertheless, research results on the relationship between empathy and aggression are mixed. Subtypes of aggressive behavior, such as reactive and proactive aggression might be differently related to empathy. The aim of the present study was to investigate the interrelations of cognitive and affective empathy with reactive and proactive aggression.MethodsWe recruited a sample of 177 (33% female, M age 15.6) adolescents from socio-educational and juvenile justice institutions and a community sample of 77 (36% female, M age 13.1) adolescents from secondary schools. Using bivariate correlation analysis and hierarchical multiple regression analysis, we firstly investigated associations between cognitive and affective empathy and reactive and proactive aggression. Subsequently, we performed cluster analysis to identify clusters of adolescents with meaningful profiles of aggressive behavior and compared derived clusters on measures of empathy. We applied the Basic Empathy Scale and the Reactive-Proactive Aggression Questionnaire.ResultsBivariate analysis and hierarchical regression analysis showed that cognitive and affective empathy were negatively associated with proactive aggression, but not with reactive aggression. Cluster-analysis revealed three clusters of adolescents with distinct aggression profiles: a cluster with elevated scores on reactive and proactive aggression, a clusters with high scores on reactive aggression only, and a low aggression cluster. Cluster comparisons revealed that the reactive-proactive aggression cluster showed significantly lower scores on cognitive and affective empathy than both other clusters. Results further indicated that within the reactive-proactive aggression cluster, girls did not differ significantly from boys in empathy.ConclusionsThe present study extends previously published findings, and possibly explains conflicting results in prior research. Our results indicated that cognitive and affective empathy are reduced in adolescents with high levels of reactive and proactive aggression. Our study may contribute to the development of tailored clinical interventions for different aggression clusters.

The aim of this functional magnetic resonance imaging (fMRI) study was to identify human brain areas that are sensitive to the direction of auditory motion. Such directional sensitivity was assessed in a hypothesis-free manner by analyzing fMRI response patterns across the entire brain volume using a spherical-searchlight approach. In addition, we assessed directional sensitivity in three predefined brain areas that have been associated with auditory motion perception in previous neuroimaging studies. These were the primary auditory cortex, the planum temporale and the visual motion complex (hMT/V5+). Our whole-brain analysis revealed that the direction of sound-source movement could be decoded from fMRI response patterns in the right auditory cortex and in a high-level visual area located in the right lateral occipital cortex. Our region-of-interest-based analysis showed that the decoding of the direction of auditory motion was most reliable with activation patterns of the left and right planum temporale. Auditory motion direction could not be decoded from activation patterns in hMT/V5+. These findings provide further evidence for the planum temporale playing a central role in supporting auditory motion perception. In addition, our findings suggest a cross-modal transfer of directional information to high-level visual cortex in healthy humans.

Recent research suggests that among the group of aggressive and antisocial adolescents, there are distinct variants who exhibit different levels of anxiety symptoms and callous-unemotional traits (CU traits). The purpose of the present study was to examine whether such variants are also present in male and female adolescents diagnosed with conduct disorder (CD). We used model-based cluster analysis to disaggregate data of 158 adolescents with CD (109 boys, 49 girls; mean age =15.61 years) living in child welfare and juvenile justice institutions. Three variants were identified:(1) CD only, (2) CD with moderate CU traits and anxiety symptoms, and (3) CD with severe CU traits. Variants differed in external validation measures assessing anger and irritability, externalizing behavior, traumatic experiences, and substance use. The CD variant with moderate CU traits and anxiety symptoms had the most severe pattern of psychopathology. Our results also indicated distinct profiles of personality development for all three variants. Gender-specific comparisons revealed differences between girls and boys with CD on clustering and external validation measures and a genderspecific cluster affiliation. The present results extend previously published findings on variants among aggressive and antisocial adolescents to male and female adolescents diagnosed with CD.

The human brain has the capacity to integrate various sources of information and continuously adapts our behavior according to situational needs in order to allow a healthy functioning. Emotion–cognition interactions are a key example for such integrative processing. However, the neuronal correlates investigating the effects of emotion on cognition remain to be explored and replication studies are needed. Previous neuroimaging studies have indicated an involvement of emotion and cognition related brain structures including parietal and prefrontal cortices and limbic brain regions. Here, we employed whole brain event-related functional magnetic resonance imaging (fMRI) during an affective number Stroop task and aimed at replicating previous findings using an adaptation of an existing task design in 30 healthy young adults. The Stroop task is an indicator of cognitive control and enables the quantification of interference in relation to variations in cognitive load. By the use of emotional primes (negative/neutral) prior to Stroop task performance, an emotional variation is added as well. Behavioral in-scanner data showed that negative primes delayed and disrupted cognitive processing. Trials with high cognitive demand furthermore negatively influenced cognitive control mechanisms. Neuronally, the emotional primes consistently activated emotion-related brain regions (e.g., amygdala, insula, and prefrontal brain regions) while Stroop task performance lead to activations in cognition networks of the brain (prefrontal cortices, superior temporal lobe, and insula). When assessing the effect of emotion on cognition, increased cognitive demand led to decreases in neural activation in response to emotional stimuli (negative > neutral) within prefrontal cortex, amygdala, and insular cortex. Overall, these results suggest that emotional primes significantly impact cognitive performance and increasing cognitive demand leads to reduced neuronal activation in emotion related brain regions, and therefore support previous findings investigating emotion–cognition interaction in healthy adults. Moreover, emotion and cognition seem to be tightly related to each other, as indicated by shared neural networks involved in both of these processes. Emotion processing, cognitive control, and their interaction are crucial for healthy functioning and a lack thereof is related to psychiatric disorders such as, disruptive behavior disorders. Future studies may investigate the neural characteristics of children and adolescents with disruptive behavior disorders.