Aversive Learning and Trait Aggression Influence Retaliatory Behavior

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.

Measurement properties of the life history of aggression in adolescents: Data from Morocco, Serbia, Sweden, Vietnam, and the USA

The Life History of Aggression (LHA) is a frequently used scale for assessing trait aggression, but its psychometric properties have not been evaluated among adolescents. The aim of this study was to evaluate the psychometric properties of the LHA among high school students from Morocco, Serbia, Sweden, Vietnam, and the United States of America (USA). The total sample included 4867 adolescents, aged 15-19 years, from Morocco (n = 508), Serbia (n = 1067), Sweden (n = 1570), Vietnam (n = 1401), and the USA (n = 321). A two-factor, nine-item model containing an aggression factor (5 items) and a consequences/antisocial behavior factor (4 items) was created. The two-factor model had an acceptable-to-good model fit for the data for the total sample and all five countries, including gender. Cronbach's alpha (α) was satisfactory across countries. Still, the construct was noninvariant across countries and genders. The LHA with nine items in two subscales showed sound construct validity and internal consistency and can be used for group-level or within-group assessments of trait aggression in adolescents by either gender or country. However, it should not be used for cross-gender or cross-country comparisons due to a lack of measurement invariance.

Heart Rate and Skin Conductance Associations with Physical Aggression, Psychopathy, Antisocial Personality Disorder and Conduct Disorder: An Updated Meta-Analysis

The associations between physiological measures (i.e., heart rate and skin conductance) of autonomic nervous system (ANS) activity and severe antisocial spectrum behavior (AB) were meta-analyzed. We used an exhaustive partitioning of variables relevant to the ANS-AB association and investigated four highly relevant questions (on declining effect sizes, psychopathy subscales, moderators, and ANS measures) that are thought to be transformative for future research on AB. We investigated a broad spectrum of physiological measures (e.g., heart rate (variability), pre-ejection period) in relation to AB. The search date for the current meta-analysis was on January 1^st, 2020, includes 101 studies and 769 effect sizes. Results indicate that effect sizes are heterogeneous and bidirectional. The careful partitioning of variables sheds light on the complex associations that were obscured in previous meta-analyses. Effects are largest for the most violent offenders and for psychopathy and are dependent on the experimental tasks used, parameters calculated, and analyses run. Understanding the specificity of physiological reactions may be expedient for differentiating between (and within) types of AB.