Machine learning classification of conduct disorder with high versus low levels of callous-unemotional traits based on facial emotion recognition abilities

Emotion Recognition Deficits in Children and Adolescents with Psychopathic Traits: A Systematic Review

Children and adolescents with psychopathic traits show deficits in emotion recognition, but there is no consensus as to the extent of their generalizability or about the variables that may be moderating the process. The present Systematic Review brings together the existing scientific corpus on the subject and attempts to answer these questions through an exhaustive review of the existing literature according to PRISMA 2020 statement. Results confirmed the existence of pervasive deficits in emotion recognition and, more specifically, on distress emotions (e.g., fear), a deficit that transcends all modalities of emotion presentation and all emotional stimuli used. Moreover, they supported the key role of attention to relevant areas that provide emotional cues (e.g., eye-region) and point out differences according to the presence of disruptive behavior and based on the psychopathy dimension examined. This evidence could advance the current knowledge on developmental models of psychopathic traits. Yet, homogenization of the conditions of research in this area should be prioritized to be able to draw more robust and generalizable conclusions.

The computational psychiatry of antisocial behaviour and psychopathy

Antisocial behaviours such as disobedience, lying, stealing, destruction of property, and aggression towards others are common to multiple disorders of childhood and adulthood, including conduct disorder, oppositional defiant disorder, psychopathy, and antisocial personality disorder. These disorders have a significant negative impact for individuals and for society, but whether they represent clinically different phenomena, or simply different approaches to diagnosing the same underlying psychopathology is highly debated. Computational psychiatry, with its dual focus on identifying different classes of disorder and health (data-driven) and latent cognitive and neurobiological mechanisms (theory-driven), is well placed to address these questions. The elucidation of mechanisms that might characterise latent processes across different disorders of antisocial behaviour can also provide important advances. In this review, we critically discuss the contribution of computational research to our understanding of various antisocial behaviour disorders, and highlight suggestions for how computational psychiatry can address important clinical and scientific questions about these disorders in the future.

The importance of an exaggerated attention bottleneck for understanding psychopathy

The psychopath has long captured the imagination. A name such as Ted Bundy evokes a morbid curiosity. The crimes committed by Bundy are so cruel that it is hard to imagine how someone could do such things. In this review we discuss evidence that exaggeration in an attention bottleneck is one mechanism that makes it possible for psychopathic individuals to be adept at focusing on a single stimulus feature or goal but struggle to process multiple streams of information simultaneously. This exaggeration may partly explain the behavioral, affective, and social deficits that are apparent among psychopathic individuals. Further research on this attentional mechanism may promote a science that adequately captures the complexity of psychopathic behavior and offers new avenues for intervention.