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Psychopathy is a collection of personality traits and behaviors that are associated with costly personal, interpersonal, and societal outcomes. The nature of this construct has been widely debated across decades of literature, and such debates have produced a multitude of instruments for the measurement of psychopathy. These measures include self-reports and clinical interviews, yet little work has examined the degree to which measurements of psychopathy may differ across these modalities and whether such potential differences may impact the associations commonly found with psychopathy (e.g., impulsivity). To this end, we applied psychometric network and item response theory analyses to data obtained from the interview-based Psychopathy Checklist: Screening Version and the Levenson Self-Report of Psychopathy in the same sample. Our results revealed similarities and differences across measurement modalities. Regarding the Psychopathy Checklist: Screening Version, Factor 2 items were more important to the psychopathy construct (i.e., the most central and contributed more information than Factor 1 items), whereas Factor 1 items were more important to the Levenson Self-Report of Psychopathy. Factor 1 items were positively linked with Positive Urgency and were either negatively associated or not associated with Negative Urgency. In contrast, Factor 2 items were positively linked with Negative Urgency in both networks. Our analyses also revealed that dishonesty and irresponsibility served as the primary bridges connecting the factors of psychopathy in both networks. We make suggestions for improving the assessment of psychopathy by implementing self-report and interview measures that allow scores to be compared directly. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Revolutionary advances in neuroscience and genetics over the past two decades have provided unprecedented opportunities for increasing our understanding of the etiology and pathogenesis of psychiatric disorders. Despite these advances, the translation of this knowledge into clinical practice has been hindered by the significant heterogeneity within disorders and the neurobiologically-imprecise categorization of patients. Traditional diagnostic categories do not capture the underlying neurobiological processes and etiological mechanisms of psychiatric disorders and cannot adequately inform prognosis and treatment. To address this gap, the National Institute on Mental Health (NIMH) has proposed an alternative research framework based on Research Domain Criteria (RDoC), which yields psychiatric classification grounded on discoveries from neuroscience and genomics. Recently, the RDoC approach has been adapted for the study of addictions with the Addictions Neuroclinical Assessment (ANA) framework (1), which proposes that the assessment of addictions should cover multiple systems and focus on three key neurofunctional domains: Executive Function, Incentive Salience, and Negative Emotionality. Building upon the aims of the RDoC framework, a new field of “precision psychiatry” has emerged, considered to be a paradigm shift in psychiatry. Both the RDoC framework and precision psychiatry are predicated on precise measurement, which has necessitated the development of novel analytic approaches for classification and novel dimensional tools for phenotyping that can identify the unique mechanisms of psychiatric disorders at an individual level. In this chapter, we make the case that theory-driven and data-driven computational approaches have enormous potential for increasing the precision and reliability of measurement, and the accuracy of diagnosis and prognosis in psychiatry. We review three types of computational approaches and their utility for precision psychiatry: (1) Theory-driven approaches, such as computational modeling; (2) Data-driven approaches, using various machine learning methods; and (3) Hybrid approaches, such as joint modeling and adaptive design optimization. We focus more narrowly on the application of these approaches to substance use disorders (SUD), where we attempt to map them on the current RDoC framework for addictions.

The aim of the current study was to examine the effects of length of abstinence on decision-making (impulsive choice) and response inhibition (impulsive action) in former opiate users (OU). Participants included 45 OU in early remission [0-12 months of abstinence], 68 OU in sustained remission [>12 months of abstinence], and 68 control participants. Decision-making was assessed with the Iowa Gambling Task (IGT), the Cambridge Gambling Task (CGT), and the Monetary Choice Questionnaire (MCQ). Response inhibition was examined with the Stop Signal Task (SST), and the Go/No-Go Task (GNG). Results revealed group differences in decision-making un-der risk (CGT) and ambiguity (IGT), where control participants displayed better decision-making compared to OU in early remission. Both groups of former OU were also characterized by higher discounting of delayed rewards (MCQ). Regression analyses revealed minimal effects of length of abstinence on performance on decision-making tasks and no effects on delay discounting. In addition, both OU groups showed reduced action inhibition (GNG) relative to controls and there were no group differences in action cancellation (SST). Length of abstinence had no effect on response inhibition. Overall, our findings suggest that neurocognitive function may not fully recover even with protracted abstinence, which should be addressed by relapse prevention and cognitive re-mediation programs for OU.

Psychopathy comprises antagonistic personality traits and antisocial behaviors that are associated with critical outcomes for the individual and society (e.g., violent behavior). Since its inception, impulsivity has been theorized as a core feature of psychopathy. Research supports this assertion, yet psychopathy and impulsivity are both multifaceted constructs. As such, the associations commonly observed between psychopathy and impulsivity may obscure more nuanced profiles of impulsivity that are only observable at the facet-level. To address this gap in the literature, we collected data from a community sample using a clinical psychopathy interview along with dispositional and neurobehavioral measures of impulsivity. We regressed each of the four facets of psychopathy onto eight impulsivity variables. We followed these analyses with bootstrapped dominance analyses in order to determine which of the impulsivity variables shared the most variance with each psychopathy facet. Our analyses revealed that positive urgency was the most important aspect of impulsivity to all four facets of psychopathy. We further identified distinct profiles of impulsivity linked to each psychopathy facet–the interpersonal facet was typified by sensation seeking and temporal impulsivity. The affective and lifestyle facets were both typified by general trait impulsivity and affective impulsivity. The antisocial facet was typified by affective impulsivity and sensation seeking. Such distinct profiles of impulsivity suggest that specific behaviors linked with each facet (e.g., manipulativeness and the interpersonal facet) may be explained in part by the distinct forms of impulsivity aligned with them.

The aim of the current study was to examine the effects of length of abstinence on decision making (impulsive choice) and response inhibition (impulsive action) in former opiate users (OU). Participants included 45 OU in early remission [0–12 months of abstinence], 68 OU in sustained remission [>12 months of abstinence], and 68 control participants. Decision making was assessed with the Iowa Gambling Task (IGT), the Cambridge Gambling Task (CGT), and the Monetary Choice Questionnaire (MCQ). Response inhibition was examined with the Stop Signal Task (SST), and the Go/No-Go Task (GNG). Results revealed group differences in decision making under risk (CGT) and ambiguity (IGT), where control participants displayed better decision making compared to OU in early remission. Both groups of former OU were also characterized by higher discounting of delayed rewards (MCQ). Regression analyses revealed minimal effects of length of abstinence on performance on decision-making tasks and no effects on delay discounting. In addition, both OU groups showed reduced action inhibition (GNG) relative to controls and there were no group differences in action cancellation (SST). Length of abstinence had no effect on response inhibition. Overall, our findings suggest that neurocognitive function may not fully recover even with protracted abstinence, which should be addressed by relapse prevention and cognitive remediation programs for OU.

Background: The fundamental challenges of the COVID-19 pandemic may have lasting negative effects on the quality of mental health worldwide. Resilience is considered an important protective factor in reducing the risk of psychopathology in the face of various adverse events, such as the ongoing health crisis. The aims of the current study were to: (1) evaluate the predictive utility of resilience in accounting for positive and negative moods, substance use, depression and anxiety; and (2) compare negative and positive moods experienced before the pandemic to emotions reported during the first wave of the COVID-19 pandemic in Bulgaria, when the country still had low prevalence of infections and fatalities. Methods: 179 Bulgarian participants completed the international online Minnesota Global Survey on Stress and Resilience in the Face of the Novel Coronavirus (COVID-19), which included measures of resilience, depression and anxiety, substance use, positive and negative moods experienced both before and during the COVID-19 outbreak. Results: Resilience predicted higher levels of positive affect and lower anxiety, depression, and negative mood during the first wave of the COVID-19 outbreak in Bulgaria. A significant increase was found in negative mood and a corresponding decrease in positive mood in the time since COVID-19 began spreading compared to before the pandemic.Conclusions: Results suggest that the initial wave of the COVID-19 crisis impacted individuals’ well-being, even in countries with relatively low prevalence of COVID-19 and associated fatalities. In this challenging global setting, resilience may serve as a buffer against negative emotional states and psychological distress.

Research on sex differences in the association of psychopathy with fluid intelligence is limited, and it remains unknown if fluid intelligence plays a meaningful role in explaining the psychopathy–aggression link for men and women. The present study aimed to test for sex differences in the relation between the four-facet model of psychopathy and intelligence, and to assess whether fluid intelligence moderates the link between psychopathy and aggression. In a community sample of men ( n = 356) and women ( n = 196), we assessed psychopathy using the Psychopathy Checklist: Screening Version (PCL:SV), fluid intelligence using the Raven’s Progressive Matrices, and types of aggression using the Aggression Questionnaire (AQ). Hierarchical regressions showed that the psychopathy lifestyle facet was negatively associated with intelligence and there were no sex differences. Our analyses for types of aggression revealed sex differences and similarities. For both men and women, total AQ scores were predicted by higher antisocial facet scores. Lower intelligence moderated the link between higher antisocial facet scores and aggression in men, but not for women. Physical aggression in women was associated with higher interpersonal, affective, and antisocial facet scores, whereas for men, it was only associated with higher antisocial facet scores. Verbal and indirect aggression were associated with higher intelligence in both men and women. For men only, higher antisocial facet scores were associated with verbal and indirect aggression. Higher intelligence moderated the link between the lifestyle facet and indirect aggression for women, whereas for men, it moderated the link between the affective facet and indirect aggression. This study further highlights sex differences in mechanisms of psychopathy-related aggression, which need to be considered in the development of violence interventions and risk assessment.

Psychopathy has been long associated with aggression. However, few studies have looked at differences between men and women. Studies that do exist demonstrate that psychopathy differentially relates to aggression in men and women, and indicate that environmental factors may play a significant role in influencing these associations. A key environmental factor is a history of lifetime physical abuse (LPA), which has been linked to aggressive behavior in both men and women. The aim of the present study was to test if psychopathy differentially predicted physical, verbal, and indirect aggression in men and women, and if these associations were moderated by LPA. In a large community sample of men (n=369) and women (n=204) we assessed the 4-facet model of psychopathy (Interpersonal, Affective, Lifestyle, Antisocial) with the Psychopathy Checklist: Screening Version (Hart et al., 1995), LPA with the Addiction Severity Index (First et al., 1996), and self-report aggression with the Aggression Questionnaire (Buss & Warren, 2000). Results revealed sex differences and similarities. Physical aggression was associated with the affective facet of psychopathy in both men and women, though in different directions based on the moderating effects of LPA. Verbal aggression was associated with higher antisocial facet scores and LPA for men and not women. Lastly, indirect aggression was associated with the antisocial facet of psychopathy for men, and the interpersonal facet for women, and these associations were not moderated by LPA. In women, low antisocial facet scores and no LPA were found to be protective for indirect aggression. These results show that LPA and psychopathy generally increase the risk of aggression, but the interaction between LPA and psychopathy differentiates the risk of aggression forms for men and women. These sex differences highlight the need for female-responsive interventions to target sex-specific risk factors for aggressive behavior.

Psychopathy is a multifaceted construct that has been linked to aggression. Yet, few studies have explored the association between physical, verbal, and indirect aggression using the 4-facet model of psychopathy in community samples, and to date, no studies exist that test for male and female differences. The present study aimed to understand what facets of psychopathy predict aggressive behavior for men and women, while controlling for important risk factors, such as Antisocial Personality Disorder (ASPD). Drawing from a large Bulgarian community sample (N = 565), a confirmatory factor analysis (CFA) supported the use of the 4-facet model of the Psychopathy Checklist: Screening Version (PCL:SV; Hart et al., ). Hierarchical linear regressions revealed that physical aggression was predicted by affective and antisocial psychopathic traits, and ASPD. Verbal aggression was predicted by the interpersonal facet, and indirect aggression was predicted by the antisocial psychopathy facet and ASPD. Sex significantly moderated the associations among facets of psychopathy and physical and indirect aggression. Specifically, the affective facet was positively associated with physical aggression only for women, whereas the antisocial facet was positively associated with indirect aggression only for men. Results suggest that the 4-facet model of psychopathy is sensitive to capture important similarities and differences between males and females when predicting forms of aggression in community samples. These findings underscore the importance of understanding how men and women differ in their risk-factors for aggressive behavior, which will better inform violence interventions based on sex-specific needs.