Neural mechanisms underlying attribution of hostile intention in nonaggressive individuals: An ERP study

The influence of social knowledge structures on hostile attribution bias in aggressive and nonaggressive individuals: An ERP study

According to several social-cognitive models, social knowledge structures described as hostile scripts or schemas may explain why aggressive individuals are prone to attribute hostile intention to others' ambiguous behaviors, a cognitive bias called hostile attribution bias (HAB). The aggression-related concepts in aggressive individuals' semantic memory would be highly accessible, notably through the activation of hostile concepts in nonhostile social contexts, and such an activation would result in HAB. The aim of the study was to test this hypothesis using the N400 component with EEG measurements to assess objectively, in real time, the violation of hostile expectations following a nonhostile situation. To this end, scenarios with a clear nonhostile context (mismatch condition) vs. without nonhostile context (match condition) followed by a character's ambiguous provocative behavior were presented to readers, and ERPs to critical words that specified the hostile intent behind the behavior were analysed. Twelve aggressive and twelve nonaggressive individuals participated in the study. The presentation of a critical word (hostile intent) that violated nonhostile expectation caused an N400 response among nonaggressive whereas such an N400 effect was absent in aggressive individuals. The results suggest that, in nonaggressive individuals, a nonhostile social context activates nonhostile concepts, whereas in the same context, aggressive individuals activate nonhostile as well as hostile concepts. Numerous research applications of the Hostile Expectancy Violation paradigm in the field of HAB are discussed.

Aggressive and psychopathic traits are linked to the acquisition of stable but imprecise hostile expectations

Individuals with hostile expectations (HEX) anticipate harm from seemingly neutral or ambiguous stimuli. However, it is unclear how HEX are acquired, and whether specific components of HEX learning can predict antisocial thought, conduct, and personality. In an online sample of healthy young individuals (n = 256, 69% women), we administered a virtual shooting task and applied computational modelling of behaviour to investigate HEX learning and its constellation of correlates. HEX acquisition was best explained by a hierarchical reinforcement learning mechanism. Crucially, we found that individuals with relatively higher self-reported aggressiveness and psychopathy developed stronger and less accurate hostile beliefs as well as larger prediction errors. Moreover, aggressive and psychopathic traits were associated with more temporally stable hostility representations. Our study thus shows that aggressiveness and psychopathy are linked with the acquisition of robust yet imprecise hostile beliefs through reinforcement learning.

The brain correlates of hostile attribution bias and their relation to the displaced aggression

BACKGROUND

Hostile attribution bias (HAB) has been considered as a risk factor of various types of psychosocial adjustment problem, and contributes to displaced aggression (DA). The neural basis of HAB and the underlying mechanisms of how HAB predicts DA remain unclear.

METHODS

The current study used degree centrality (DC) and resting-sate functional connectivity (RSFC) to investigate the functional connection pattern related to HAB in 503 undergraduate students. Furthermore, the "Decoding" was used to investigate which psychological components the maps of the RSFC-behavior may be related to. Finally, to investigate whether and how the RSFC pattern, HAB predicts DA, we performed mediation analyses.

RESULTS

We found that HAB was negatively associated with DC in bilateral temporal poles (TP) and positively correlated with DC in the putamen and thalamus; Moreover, HAB was negatively associated with the strength of functional connectivity between TP and brain regions in the theory of mind network (ToM), and positively related to the strength of functional connectivity between the thalamus and regions in the ToM network. The "Decoding" showed the maps of the RSFC-behavior may involve the theory mind, autobiographic, language, comprehension and working memory. Mediation analysis further showed that HAB mediated the relationship between some neural correlates of the HAB and DA.

LIMITATIONS

The current results need to be further tested by experimental methods or longitudinal design in further studies.

CONCLUSIONS

These findings shed light on the neural underpinnings of HAB and provide a possible mediation model regarding the relationships among RSFC pattern, HAB, and displaced aggression.

Attribution of intentions in autism spectrum disorder: A study of event-related potentials

Autism spectrum disorder (ASD) is characterized by social cognition deficits, including difficulties inferring the intentions of others. Although deficits in attribution of intentions (AI) have been consistently replicated in ASD, their exact nature remains unexplored. Here we registered the electrophysiological correlates of a nonverbal social cognition task to investigate AI in autistic adults. Twenty-one male autistic adults and 30 male neurotypical volunteers performed a comic strips task depicting either intentional action (AI) or physical causality with or without human characters, while their electroencephalographic signal was recorded. Compared to neurotypical volunteers, autistic participants were significantly less accurate in correctly identifying congruence in the AI condition, but not in the physical causality conditions. In the AI condition a bilateral posterior positive event-related potential (ERP) occurred 200-400 ms post-stimulus (the ERP intention effect) in both groups. This waveform comprised a P200 and a P300 component, with the P200 component being larger for the AI condition in neurotypical volunteers but not in autistic individuals, who also showed a longer latency for this waveform. Group differences in amplitude of the ERP intention effect only became evident when we compared autistic participants to a subgroup of similarly performing neurotypical participants, suggesting that the atypical ERP waveform in ASD is an effect of group, rather than a marker of low-task performance. Together, these results suggest that the lower accuracy of the ASD group in the AI task may result from impaired early attentional processing and contextual integration of socially relevant cues. LAY SUMMARY: To understand why autistic people have difficulties in inferring others' intentions, we asked participants to judge the congruence of the endings of comic strips depicting either intentional actions (e.g., fetching a chair to reach for something) or situations solely following physical rules (e.g., an apple falling on someone's head), while their electrical brain activity was recorded. Autistic individuals had more difficulties in inferring intentions than neurotypical controls, which may reflect impaired attention and contextual integration of social cues.

Cognitive Control Processes and Defense Mechanisms That Influence Aggressive Reactions: Toward an Integration of Socio-Cognitive and Psychodynamic Models of Aggression

Research on cognitive processes has primarily focused on cognitive control and inhibitory processes to the detriment of other psychological processes, such as defense mechanisms (DMs), which can be used to modify aggressive impulses as well as self/other images during interpersonal conflicts. First, we conducted an in-depth theoretical analysis of three socio-cognitive models and three psychodynamic models and compared main propositions regarding the source of aggression and processes that influence its enactment. Second, 32 participants completed the Hostile Expectancy Violation Paradigm (HEVP) in which scenarios describe a hostile vs. non-hostile social context followed by a character's ambiguous aversive behavior. The N400 effect to critical words that violate expected hostile vs. non-hostile intent of the behavior was analyzed. Prepotent response inhibition was measured using a Stop Signal task (SST) and DMs were assessed with the Defense Style Questionnaire (DSQ-60). Results showed that reactive aggression and HIA were not significantly correlated with response inhibition but were significantly positively and negatively correlated with image distorting defense style and adaptive defense style, respectively. The present article has highlighted the importance of integrating socio-cognitive and psychodynamic models to account for the full complexity underlying psychological processes that influence reactive aggressive behavior.

The effects of the activation of hostile and non-hostile schemas on intent attribution processes in non-aggressive individuals: An ERP study

We investigated the influences of hostile and non-hostile schemas activations in non-aggressive individuals on their intent attribution processes in various social contexts. 38 non-aggressive participants were randomly assigned to one of two groups, one primed with negative words, to be conditioned as temporarily hostile (TH), and the other with positive words, be conditioned as temporarily non-hostile (TNH). They were asked to read social scenarios composed of positive or negative behaviors of others whose intentions are ambiguous followed by a disambiguation of others' real intentions (hostile vs non-hostile) behind their behaviors. Neural activity related to spontaneous intent attribution processes was measured using electroencephalography (EEG). The results showed that when non-hostile intentions were revealed following ambiguous-negative behaviors of others, the N400 effect was observed only in the TH group. Similarly, when hostile intentions were revealed following ambiguous-positive behaviors of others, the N400 effect was observed only in the TNH group. In other words, non-aggressive individuals were led to attribute either hostile or non-hostile intentions to the same ambiguous behaviors of others depending on which concepts or thoughts (hostile vs non hostile) were activated and accessible in memory by priming at the time of social interactions.

Association between depression and hostile attribution bias in hostile and non-hostile individuals: An ERP study

BACKGROUND

Hostility and aggression have been found to be highly prevalent among depressed patients and are associated with higher comorbidity and illness severity levels. Although negative interpretation biases are a fundamental element of cognitive models of depression, few studies have examined the specific biases in information processing, mainly the hostile attribution bias, found in hostile individuals who present depressive symptoms.

METHOD

Using pre-collected data from a sample of 72 (male=41,6%, female=58,3%) undergraduate and community-based hostile (n = 26) and non-hostile (n = 46) adult participants, the authors aimed to examine the association between depression and the hostile attribution bias by determining whether depression level scores were uniquely related to electrophysiological measures of the hostile attribution bias.

RESULTS

The hostile group showed higher measured levels of depression and reactive aggression compared to the non-hostile group. Also, depression scores were significant predictors of the N400 effect in the non-hostile task condition, while reactive aggression was not, whereas in the hostile condition, the overall model was significant, with depression and reactive aggression levels both showing strong trends towards significance.

LIMITATIONS

A small sample size limited the scope of our conclusions. Also, sample selection prevented us from examining specific group differences regarding the hostile attribution bias in depressed and non-depressed groups.

CONCLUSION

Clinical and research implications include the necessity to apply cognitive restructuring techniques to counter biased interpretation processes in settings where depression and aggression intersect, and the need to consider alternatives to self-evaluative methodologies.

Physical aggression and attentional bias to angry faces: An event related potential study

This study aimed to identify the neural correlates of aggression-related attentional selectivity to angry faces in physical aggression. Physical aggression in a non-clinical sample of young men (N = 36) was measured using an aggression questionnaire. Visual attentional bias to angry faces was assessed using a dot-probe task during which angry and neutral faces were presented simultaneously, and EEG was recorded. Median split and correlational analyses were conducted to assess the relationship between physical aggression and attentional bias. Behavioural results indicated that higher levels of physical aggression were associated with greater attentional bias to angry faces. ERP results revealed an interaction where males with higher physical aggression had undifferentiated P3 amplitudes to angry and neutral trials, whereas low physical aggression males exhibited greater P3 amplitude to angry than to neutral trials (effect of probe congruency). Increased levels of physical aggression were also significantly correlated with increased P3 amplitude to probes replacing neutral faces, relative to angry faces. It was concluded that the aggressive males selectively attend to angry faces, and that attentional bias is characterized by undifferentiated P3 amplitude. We propose that this results from an inferior ability to downregulate competing angry face distractors when responding to probes replacing neutral faces (as reflected by the P3 response). These findings indicate that attentional bias to angry faces in individuals with higher physical aggression is characterized by a distinctive ERP signature; this could inform the development of therapeutic interventions seeking to reduce aggression.

Hostile attribution bias and angry rumination: A longitudinal study of undergraduate students

Angry rumination and hostile attribution bias are important cognitive factors of aggression. Although prior theoretical models of aggression suggest that aggressive cognitive factors may influence each other, there are no studies examining the longitudinal relationship between angry rumination and hostile attribution bias. The present study used cross-lagged structural equation modeling to explore the longitudinal mutual relationship between hostile attribution bias and angry rumination; 941 undergraduate students (38.5% male) completed questionnaires assessing the variables at two time points. The results indicate that hostile attribution bias showed a small but statistically significant effect on angry rumination 6 months later, and angry rumination showed a quite small but marginally significant effect on hostile attribution bias across time. The present study supports the idea that hostile attribution bias influences angry rumination, and argue that the relationship between angry rumination and hostile attribution bias may be mutual. Additionally, the results suggest that there may be a causal relation of different aggression-related cognitive factors.

The Modulating Role of Self-Referential Stimuli and Processes in the Effect of Stress and Negative Emotion on Inhibition Processes in Borderline Personality Disorder: Proposition of a Model to Integrate the Self-Concept and Inhibition Processes

Impulsivity is an important clinical and diagnostic feature of borderline personality disorder (BPD). Even though it has been reported that BPD individuals' inhibition performance is significantly reduced in the context of negative emotion or stress, this literature shows mixed results, raising questions about the possible role played by other factors. Winter (2016) proposed that negative emotion stimuli can be more disruptive for BPD individuals' attention control performance because they induce higher distractibility self-referential processes. This article aimed to systematically review the literature regarding the effect of stress and negative emotions on three main inhibition processes-prepotent response inhibition, resistance to distractor interference, and resistance to proactive interference-in BPD and to verify the putative modulating role of self-referential stimuli and processes on these inhibition processes. All English and French experimental studies published until August 2018 were searched in PsychINFO and PubMED databases. The following keywords were used: "borderline* AND inhibit* OR interference* OR forget* OR task* AND emotion* OR stress* OR affect*". A total of 1215 articles were included in the study. After full text revision, twenty-six papers were selected for review. The results of this review indicate that when stimuli or procedures involve self-reference stimuli or processes, BPD individuals' performance seems to be more disrupted in all three inhibition processes. A model based on Winter's and Kernberg's models is proposed with the aim of integrating the self-concept with inhibition processes in BPD.

Brain structure links trait hostile attribution bias and attitudes toward violence

The majority of research regarding hostile attribution bias focuses on its effect on aggression. However, little is known about the brain structure associated with trait hostile attribution bias and the mediating mechanism underlying this link. The current study uses voxel-based morphometry (VBM) to identify the brain regions related to individual differences in trait hostile attribution bias, measured by a Word Sentence Association Paradigm - Hostility in a sample of 176 undergraduate students. Subsequently, two mediation models with regard to brain structure, trait hostile attribution bias, and attitudes toward violence (measured by the Attitudes toward Violence Scale) were analyzed. The results reveal that trait hostile attribution bias is positively correlated with gray matter volume (GMV) in the left orbitofrontal cortex (OFC) and negatively associated with the left lingual gyrus (LG). Furthermore, attitudes toward violence acted as a mediator underlying the association between the left OFC volume and trait hostile attribution bias. Such bias also mediated the relationship between the left OFC and attitudes toward violence. We argue that attitudes toward violence and trait hostile attribution bias seem to predict each other, and the GMV in the left OFC may involve the underlying cognitive mechanism of the bidirectional relationship between the two variables. These results and ideas may shed light on the current understanding of the relationships of the brain's anatomical features, attitudes toward violence, and trait hostile attribution bias.

Hostile Attribution Bias Mediates the Relationship Between Structural Variations in the Left Middle Frontal Gyrus and Trait Angry Rumination

Angry rumination is a common mental phenomenon which may lead to negative social behaviors such as aggression. Although numerous neuroimaging studies have focused on brain area activation during angry rumination, to our knowledge no study has examined the neuroanatomical and cognitive mechanisms of this process. In this study, we conducted a voxel-based morphometry analysis, using a region of interest analysis to identify the structural and cognitive mechanisms underlying individual differences in trait angry rumination (as measured by the Angry Rumination Scale) in a sample of 82 undergraduate students. We found that angry rumination was positively correlated with gray matter density in the left middle frontal gyrus (left-MFG), which is implicated in inhibition control, working memory, and emotional regulation. The mediation analysis further revealed that hostile attribution bias (as measured by the Social Information Processing-Attribution Bias Questionnaire) acted as a cognitive mechanism underlying the positive association between the left-MFG gray matter density and trait angry rumination. These findings suggest that hostile attribution bias may contribute to trait angry rumination, while the left-MFG may play an important role in the development of hostile attribution bias and trait angry rumination. The study reveals the brain mechanisms of trait angry rumination and plays a role in revealing the cognitive mechanisms of the development of trait angry rumination.

An ERP study on hostile attribution bias in aggressive and nonaggressive individuals

Hostile attribution bias (e.g., tendency to interpret the intention of others as hostile in ambiguous social contexts) has been associated with impulsive aggression in adults, but the results are mixed and the complete sequence of hostile inferential processes leading to aggression has not been investigated yet. The goal of this event-related brain potentials (ERPs) study was to track the neural activity associated with the violation of expectations about hostile versus nonhostile intentions in aggressive and nonaggressive individuals and examine how this neural activity relates to self-reported hostile attributional bias and impulsive aggression in real life. To this end, scenarios with a hostile versus nonhostile social context followed by a character's ambiguous aversive behavior were presented to readers, and ERPs to critical words that specified the hostile versus nonhostile intent behind the behavior were analysed. Thirty-seven aggressive and fifty nonaggressive individuals participated in the study. The presentation of a critical word that violated hostile expectation caused an N400 response that was significantly larger in aggressive than nonaggressive individuals. Results also showed an enhanced late positive potential-like component in aggressive individuals when hostile intention scenarios took place in a nonhostile context, which is associated with impulsive aggression in real life even after having controlled for the effect of self-reported hostile attributional bias. The Hostile Expectancy Violation paradigm evaluated in this study represents a promising tool to investigate the relationship between the online processing of hostile intent in others and impulsive aggression. Aggr. Behav. 43:217-229, 2017. © 2016 Wiley Periodicals, Inc.