Classification and treatment of antisocial individuals: From behavior to biocognition

Neurofeedback and meditation technology in outpatient offender treatment: a feasibility and usability pilot study

Introduction

Although Cognitive Behavioral Therapy (CBT) is the most often used intervention in forensic treatment, its effectivity is not consistently supported. Interventions incorporating knowledge from neuroscience could provide for more successful intervention methods.

Methods

The current pilot study set out to assess the feasibility and usability of the study protocol of a 4-week neuromeditation training in adult forensic outpatients with impulse control problems. The neuromeditation training, which prompts awareness and control over brain states of restlessness with EEG neurofeedback, was offered in addition to treatment as usual (predominantly CBT).

Results

Eight patients completed the neuromeditation training under guidance of their therapists. Despite some emerging obstacles, overall, the training was rated sufficiently usable and feasible by patients and their therapists.

Discussion

The provided suggestions for improvement can be used to implement the intervention in treatment and set up future trials to study the effectiveness of neuromeditation in offender treatment.

Associations between extracurricular arts activities, school-based arts engagement, and subsequent externalising behaviours in the Early Childhood Longitudinal Study

Adolescent externalising behaviours are associated with numerous long-term negative outcomes, although most research is intervention-based as opposed to risk reduction. Arts engagement has been associated with numerous beneficial factors linked to externalising behaviours, yet direct evidence linking them in longitudinal studies is lacking. Data from the Early Childhood Longitudinal Study were used, with baseline at 5th grade and outcomes measured at 8th grade. Ordinary least squares (OLS) regression was used to examine individual-level associations between extracurricular and school-based arts engagement with externalising behaviours. OLS regression was also used to examine associations between school-level arts classes and facilities with an administrator-reported index of externalising behaviours in the school. All models were adjusted for sociodemographic factors. Individual-level analyses were clustered by school. At the individual level, engaging in a greater number of extracurricular arts activities was associated with fewer externalising behaviours, although there was no association for school-based arts engagement. There were no school-level associations between arts classes or adequate arts facilities and externalising behaviours. Our results suggest extracurricular arts activities may be beneficial in reducing the risk for externalising behaviours, but the relationship is seen at an individual-level of engagement rather than based on school-level provision or facilities.

Distinct neurocognitive fingerprints reflect differential associations with risky and impulsive behavior in a neurotypical sample

Engagement in risky and impulsive behavior has long been associated with deficits in neurocognition. However, we have a limited understanding of how multiple subfunctions of neurocognition co-occur within individuals and which combinations of neurocognitive subfunctions are most relevant for risky and impulsive behavior. Using the neurotypical Nathan Kline Institute Rockland Sample (N = 673), we applied a Bayesian latent feature learning model-the Indian Buffet Process-to identify nuanced, individual-specific profiles of multiple neurocognitive subfunctions and examine their relationship to risky and impulsive behavior. All features were within a relatively normative range of neurocognition; however, there was subtle variability related to risky and impulsive behaviors. The relatively overall poorer neurocognition feature correlated with greater affective impulsivity and substance use patterns/problems. The poorer episodic memory and emotion feature correlated with greater trait externalizing and sensation-seeking. The poorer attention feature correlated with increased trait externalizing and negative urgency but decreased positive urgency and substance use. Finally, the average or mixed features negatively correlated with various risky and impulsive behaviors. Estimating nuanced patterns of co-occurring neurocognitive functions can inform our understanding of a continuum of risky and impulsive behaviors.

A neurocognitive model of early onset persistent and desistant antisocial behavior in early adulthood

It remains unclear which functional and neurobiological mechanisms are associated with persistent and desistant antisocial behavior in early adulthood. We reviewed the empirical literature and propose a neurocognitive social information processing model for early onset persistent and desistant antisocial behavior in early adulthood, focusing on how young adults evaluate, act upon, monitor, and learn about their goals and self traits. Based on the reviewed literature, we propose that persistent antisocial behavior is characterized by domain-general impairments in self-relevant and goal-related information processing, regulation, and learning, which is accompanied by altered activity in fronto-limbic brain areas. We propose that desistant antisocial development is associated with more effortful information processing, regulation and learning, that possibly balances self-relevant goals and specific situational characteristics. The proposed framework advances insights by considering individual differences such as psychopathic personality traits, and specific emotional characteristics (e.g., valence of social cues), to further illuminate functional and neural mechanisms underlying heterogenous developmental pathways. Finally, we address important open questions and offer suggestions for future research to improve scientific knowledge on general and context-specific expression and development of antisocial behavior in early adulthood.

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.

Classifying Conduct Disorder Using a Biopsychosocial Model and Machine Learning Method

BACKGROUND

Conduct disorder (CD) is a common syndrome with far-reaching effects. Risk factors for the development of CD span social, psychological, and biological domains. Researchers note that predictive models of CD are limited if the focus is on a single risk factor or even a single domain. Machine learning methods are optimized for the extraction of trends across multidomain data but have yet to be implemented in predicting the development of CD.

METHODS

Social (e.g., family, income), psychological (e.g., psychiatric, neuropsychological), and biological (e.g., resting-state graph metrics) risk factors were measured using data from the baseline visit of the Adolescent Brain Cognitive Development Study when youth were 9 to 10 years old (N = 2368). Applying a feed-forward neural network machine learning method, risk factors were used to predict CD diagnoses 2 years later.

RESULTS

A model with factors that included social, psychological, and biological domains outperformed models representing factors within any single domain, predicting the presence of a CD diagnosis with 91.18% accuracy. Within each domain, certain factors stood out in terms of their relationship to CD (social: lower parental monitoring, more aggression in the household, lower income; psychological: greater attention-deficit/hyperactivity disorder and oppositional defiant disorder symptoms, worse crystallized cognition and card sorting performance; biological: disruptions in the topology of subcortical and frontoparietal networks).

CONCLUSIONS

The development of an accurate, sensitive, and specific predictive model of CD has the potential to aid in prevention and intervention efforts. Key risk factors for CD appear best characterized as reflecting unpredictable, impulsive, deprived, and emotional external and internal contexts.

Neurorehabilitation of Offenders, Consent and Consequentialist Ethics

The new biotechnology raises expectations for modifying human behaviour through its use. This article focuses on the ethical analysis of the not so remote possibility of rehabilitating criminals by means of neurotechnological techniques. The analysis is carried out from a synthetic position of, on the one hand, the consequentialist conception of what is right and, on the other hand, the emphasis on individual liberties. As a result, firstly, the ethical appropriateness of adopting a general predisposition for allowing the neurorehabilitation of prisoners only if it is safe and if they give their consent will be defended. But, at the same time, reasons will be given for requiring, in certain circumstances, the exceptional use of neurotechnology to rehabilitate severely psychopathic prisoners, even against their will, from the same ethical perspective.

Neurobiological correlates of antisociality across adolescence and young adulthood: a multi-sample, multi-method study

BACKGROUND

Antisociality across adolescence and young adulthood puts individuals at high risk of developing a variety of problems. Prior research has linked antisociality to autonomic nervous system and endocrinological functioning. However, there is large heterogeneity in antisocial behaviors, and these neurobiological measures are rarely studied conjointly, limited to small specific studies with narrow age ranges, and yield mixed findings due to the type of behavior examined.

METHODS

We harmonized data from 1489 participants (9-27 years, 67% male), from six heterogeneous samples. In the resulting dataset, we tested relations between distinct dimensions of antisociality and heart rate, pre-ejection period (PEP), respiratory sinus arrhythmia, respiration rate, skin conductance levels, testosterone, basal cortisol, and the cortisol awakening response (CAR), and test the role of age throughout adolescence and young adulthood.

RESULTS

Three dimensions of antisociality were uncovered: 'callous-unemotional (CU)/manipulative traits', 'intentional aggression/conduct', and 'reactivity/impulsivity/irritability'. Shorter PEPs and higher testosterone were related to CU/manipulative traits, and a higher CAR is related to both CU/manipulative traits and intentional aggression/conduct. These effects were stable across age.

CONCLUSIONS

Across a heterogeneous sample and consistent across development, the CAR may be a valuable measure to link to CU/manipulative traits and intentional aggression, while sympathetic arousal and testosterone are additionally valuable to understand CU/manipulative traits. Together, these findings deepen our understanding of the fundamental mechanisms underlying different components of antisociality. Finally, we illustrate the potential of using current statistical techniques for combining multiple datasets to draw robust conclusions about biobehavioral associations.

Oxytocin effects on amygdala reactivity to angry faces in males and females with antisocial personality disorder

The amygdala is a key region in current neurocircuitry models of reactive aggression as it is crucially involved in detecting social threat and provocation. An increased amygdala reactivity to angry faces has been reported in aggression-prone individuals and the neuropeptide oxytocin (OT) could dampen anger-related amygdala reactivity in a number of mental disorders. One example is the antisocial personality disorder (ASPD) which has so far only been studied in limited numbers. To address the question whether OT can normalize amygdala hyperreactivity to emotional faces, we conducted a functional magnetic resonance imaging experiment with 20 men and 18 women with ASPD and 20 male and 20 female healthy control (HC) participants in a double-blind, randomized, placebo (PLC)-controlled within-subject design. Participants were exposed to an emotion classification task (fearful, angry, and happy faces) after receiving an intranasal dose (24 IU) of synthetic OT or PLC. We found OT to attenuate right amygdala hyperactivity to angry faces in participants with ASPD to such an extent that the intensity of amygdala activity in the ASPD group in the OT condition decreased to the level of amygdala activity in the PLC condition in the HC group. There was also a trend that OT effects were generally larger in women than in men. These findings suggest that OT differentially modulates the amygdala following social threatening or provoking cues in dependence of psychopathology (ASPD vs. HC) and sex (male vs. female). Particularly female ASPD patients could benefit from OT in the treatment of reactive aggression.

Pathways to antisocial behavior: a framework to improve diagnostics and tailor therapeutic interventions

The Antisocial Personality Disorder (ASPD), and antisocial behavior (ASB) in general, is associated with significant impact on individuals themselves, their environment, and society. Although various interventions show promising results, no evidence-based treatments are available for individuals with ASPD. Therefore, making informed choices about which treatment can be applied to an individual patient is complicated. Furthermore, contradictory findings on therapy effectiveness and underlying factors of ASB, such as cognitive impairments and personality traits, fuel the debate whether the conceptualization of ASPD in the DSM-5 is accurate and whether this population can be seen as homogeneous. A conceptual framework, based on the reciprocal altruism theory, is presented in which we propose different pathways to ASB. These pathways suggest underlying dynamics of ASB and provide an explanation for previous contradictory research outcomes. This framework is intended to serve as a clinically relevant model that provides directions for improving diagnostics and matching treatments to underlying dynamics in the antisocial population.

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.

Added value of neurotechnology for forensic psychiatric and psychological assessment

The attention for neuroscience in relation to criminal behavior is growing rapidly, and research shows that neurobiological factors have added value to the understanding of psychological and social factors in explaining delinquency. There is evidence that neurotechnology can be used in criminal justice and may be of relevance for forensic psychiatric and psychological assessment. However, the question is whether scientific knowledge of neurobiological factors is applicable in daily practice of forensic assessment. Incorporation of basic technologies, e.g., psychophysiology (heart rate, skin conductance, wearables), hormonal measures (cortisol, testosterone), and neuropsychological testing might be evident, since they can be applied relatively easy. Moreover, a body of research shows the additive value of these technologies in this field. In addition, first steps are taken to apply these technologies in individual diagnostics, treatment, and risk assessment. Complex neurotechnologies like functional MRI (e.g., brain reading) and EEG show potential to be applicable in criminal justice, once it is known what additional information these indices offer for individual cases.

Social-affective functioning and learning in psychopathy

Psychopathy is a personality construct for which impairments in multiple aspects of social and affective functioning are considered to be central. Individuals with elevated levels of psychopathic traits tend to exhibit maladaptive behaviors that are harmful to themselves and others, and seem to be limited in how they perceive and experience affective states. This chapter provides a brief overview of biopsychological theories and studies of psychopathy targeting impairments in affective processing and behavioral adaptation through learning. Also, current gaps in the literature will be discussed in addition to findings highlighting the need to routinely reexamine the validity and robustness of decades-old views on psychopathy in the light of recent multidisciplinary empirical research. The chapter ends with a short reflection on how alternative views may offer novel insights that may bring significant advances in the study of the biopsychological factors underlying psychopathy.

The Societal Response to Psychopathy in the Community

The harm usually associated with psychopathy requires therapeutically, legally, and ethically satisfactory solutions. Scholars from different fields have, thus, examined whether empirical evidence shows that individuals with psychopathic traits satisfy concepts, such as responsibility, mental disorder, or disability, that have specific legal or ethical implications. The present paper considers the less discussed issue of whether psychopathy is a disability. As it has been shown for the cases of the responsibility and mental disorder status of psychopathic individuals, we argue that it is undecided whether psychopathy is a disability. Nonetheless, based on insights from disability studies and legislations, we propose that interventions to directly modify the propensities of individuals with psychopathic tendencies should be balanced with modifications of the social and physical environments to accommodate their peculiarities. We also suggest how this social approach in some practical contexts that involve non-offender populations might be effective in addressing some of the negative effects of psychopathy.

The clinical course of antisocial behaviors in men and women of three racial groups

AIMS

To describe the clinical course and symptom profile of DSM-IV Antisocial Personality Disorder (ASPD) and the syndrome of Adult Antisocial Behavior Syndrome (AABS) and determine if they differ based on sex and race.

METHODS

Using questions from a validated semi-structured interview, data were gathered from 2 independent family studies in: 1) American Indians (AI), and 2) European Americans (EA), African Americans (AA) (total n = 7171) who reported antisocial symptoms.

RESULTS

Within these two samples 1148 (16%) individuals met ASPD criteria, 1932 (27%) met adult ASPD but not childhood conduct disorder (CD) (i.e., AABS). The clinical course of the antisocial behaviors studied did not differ based on race or sex; however, individual symptom counts, and age of onsets of those symptoms, were significantly different across the groups. Women reported fewer symptoms and at an older age (less fights, school suspensions/expulsions, arrests or jail time), than men but were more likely to run away from home. Those with ASPD vs. AABS had more symptoms overall including not experiencing remorse. AA and AI participants and those with ASPD, had more symptoms, and were more likely to be suspended/expelled from school and arrested at a younger age than EA.

CONCLUSION

In these select samples, the order and sequence of antisocial behaviors did not differ by race, AASB vs. ASPD, or sex; however individual symptom endorsement did, with men (vs. women), those with ASPD (vs. AABS), AI and AA (vs. EA) reporting more suspensions/expulsions from school and arrests. This suggests further study of the possible role of race and sex in the consequences associated with antisocial syndromes is warranted.

Scientism, Ethics and Evil: From Mens Rea to Cerebrum Reus

Can criminology thrive on quantitative studies alone? Can evil be operationalized? Quantitative work may have, for the time being, supplanted common sense, personal experience and resulting in an improbable "Periodic Table of humanity". Has the construction of the psychopathic concept surpassed positivist "constitutional" formulations and translated into effective (re)habilitation of individuals lacking affiliative ethical behaviors? Or has it simply fueled a deterministic neo-Lombrosian truism: moral development has a brain. Has it helped so far? Has letting go of fundamental moral concepts, implicit in organized religion - but pervasive in most cultures irrespective of religious affiliation and devotion - in favor of causal explanations based solely on neuroimaging, personality inventories or structured emotional decoding tasks, made a difference in the life - or in the defense for that matter - of wrongdoers diagnosed as intrinsically evil?

Individual differences in meditation interventions: A meta-analytic study

Objectives

Meditation interventions typically show small to moderate effects on health and well‐being, but we know little about how these effects vary across individuals. This meta‐analytic study investigates the relationship between baseline participant characteristics and the outcomes of meditation.

Methods

A systematic search yielded 51 eligible studies with 7782 participants. A combination of subgroup analyses and meta‐regression based on the random‐effects model were used.

Results

We found that a higher baseline level of psychopathology or depression was associated with deterioration in mental health after a meditation intervention. On the other hand, participants with higher scores on interpersonal variables, motivation, medical conditions, and mindfulness showed higher levels of positive meditation outcomes. Higher well‐being and stress were simultaneously associated with moderate increases in negative and positive meditation outcomes. Participant demographics, psychological traits, self‐concept, and length of meditation practice did not significantly influence the response to meditation.

Conclusions

Overall, we found that meditation interventions affect participants differently, and identified some of the individual characteristics that should be considered when using meditation interventions.

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.

Machine learning approaches for parsing comorbidity/heterogeneity in antisociality and substance use disorders: A primer

By some accounts, as many as 93% of individuals diagnosed with antisocial personality disorder (ASPD) or psychopathy also meet criteria for some form of substance use disorder (SUD). This high level of comorbidity, combined with an overlapping biopsychosocial profile, and potentially interacting features, has made it difficult to delineate the shared/unique characteristics of each disorder. Moreover, while rarely acknowledged, both SUD and antisociality exist as highly heterogeneous disorders in need of more targeted parcellation. While emerging data-driven nosology for psychiatric disorders (e.g., Research Domain Criteria (RDoC), Hierarchical Taxonomy of Psychopathology (HiTOP)) offers the opportunity for a more systematic delineation of the externalizing spectrum, the interrogation of large, complex neuroimaging-based datasets may require data-driven approaches that are not yet widely employed in psychiatric neuroscience. With this in mind, the proposed article sets out to provide an introduction into machine learning methods for neuroimaging that can help parse comorbid, heterogeneous externalizing samples. The modest machine learning work conducted to date within the externalizing domain demonstrates the potential utility of the approach but remains highly nascent. Within the paper, we make suggestions for how future work can make use of machine learning methods, in combination with emerging psychiatric nosology systems, to further diagnostic and etiological understandings of the externalizing spectrum. Finally, we briefly consider some challenges that will need to be overcome to encourage further progress in the field.

Childhood Emotional Abuse and Cyberbullying Perpetration: The Role of Dark Personality Traits

Dark personality traits (i.e., Machiavellianism, psychopathy, narcissism, spitefulness, and sadism) are associated with adverse childhood experiences and deviant online behaviors. However, their mediating role between childhood emotional abuse and cyberbullying has never previously been investigated. We examined direct and indirect associations of childhood emotional abuse and cyberbullying via dark personality traits among 772 participants. Men were better characterized by dark personality traits and were more likely to engage in cyberbullying than women, and there were no sex differences in childhood emotional abuse. Collectively, dark traits fully mediated the relationship between childhood emotional abuse and cyberbullying in men, with partial mediation in the total sample and women. More specifically, Machiavellianism and spitefulness were mediators in both samples, sadism was a mediator in men and the total sample, and psychopathy was a mediator in the total sample and women. The dark personality traits can account for the association between childhood emotional abuse and cyberbullying, especially among men.

The clinical utility of the ICD-11 classification of personality disorders and related traits: A preliminary scoping review

OBJECTIVES

A diagnostic system that fails to deliver clinically useful information will not be utilized and consequently will be unable to provide valuable data for health policy and clinical decision making. Therefore, it is imperative to obtain an accurate depiction of the clinical utility of the eleventh revision of the International Classification of Diseases (ICD-11) Personality Disorder (PD) model. The current mixed-methods systematic review aimed to determine the clinical utility of the ICD-11 PD classification system.

METHOD

An electronic screening of six databases was conducted and resulting studies were subjected to specific exclusion criteria, which elicited eight studies of interest. Study characteristics were tabulated and methodological quality was appraised.

RESULTS

Four studies offered strong support for the model's clinical utility, three offered some support accompanied by notable limitations and one study could only offer criticisms.

CONCLUSION

Future investigation of the ICD-11 PD classification system's (a) communicative value between clinicians and their patients, and between clinicians and their patient's families; (b) ease of use; and (c) feasibility in terms of practical application is required to achieve a complete understanding of its clinical utility and ultimately bring clarity to the current ambiguous findings.

Psychopathy

Psychopathy is a personality disorder characterized by a constellation of affective, interpersonal, lifestyle and antisocial features whose antecedents can be identified in a subgroup of young people showing severe antisocial behaviour. The prevalence of psychopathy in the general population is thought to be ~1%, but is up to 25% in prisoners. The aetiology of psychopathy is complex, with contributions of both genetic and environmental risk factors, and gene-environment interactions and correlations. Psychopathy is characterized by structural and functional brain abnormalities in cortical (such as the prefrontal and insular cortices) and subcortical (for example, the amygdala and striatum) regions leading to neurocognitive disruption in emotional responsiveness, reinforcement-based decision-making and attention. Although no effective treatment exists for adults with psychopathy, preliminary intervention studies targeting key neurocognitive disturbances have shown promising results. Given that psychopathy is often comorbid with other psychiatric disorders and increases the risk of physical health problems, educational and employment failure, accidents and criminality, the identification of children and young people at risk for this personality disorder and preventative work are important. Indeed, interventions that target the antecedents of psychopathic features in children and adolescents have been found to be effective.

ILC-OPI: impulsive lifestyle counselling versus cognitive behavioral therapy to improve retention of patients with opioid use disorders and externalizing behavior: study protocol for a multicenter, randomized, controlled, superiority trial

BACKGROUND

Substance use disorders show a high comorbidity with externalizing behavior difficulties, creating treatment challenges, including difficulties with compliance, a high risk of conflict, and a high rate of offending post-treatment. Compared with people with other substance use disorders those with opioid use disorders have the highest risk of criminal activity, but studies on the evidence base for psychosocial treatment in opioid agonist treatment (OAT) are scarce. The Impulsive Lifestyle Counselling (ILC) program may be associated with better retention and outcomes among difficult-to-treat patients with this comorbidity.

METHODS

The study is a multicenter, randomized, controlled, superiority clinical trial. Participants will be a total of 137 hard-to-treat individuals enrolled in opioid agonist treatment (OAT). Participants will be randomized to either a standard treatment (14 sessions of individual manual-based cognitive behavioral therapy and motivational interviewing (MOVE-I)) or six sessions of ILC followed by nine sessions of MOVE-I. All participants will receive personalized text reminders prior to each session and vouchers for attendance, as well as medication as needed. The primary outcome is retention in treatment. Secondary measures include severity of drug use and days of criminal offending for profit three and nine months post-randomization. A secondary aim is, through a case-control study, to investigate whether participants in the trial differ from patients receiving treatment as usual in municipalities where ILC and MOVE-I have not been implemented in OAT. This will be done by comparing number of offences leading to conviction 12 months post-randomization recorded in the national criminal justice register and number of emergency room contacts 12 months post-randomization recorded in the national hospital register.

DISCUSSION

This is the first randomized, controlled clinical trial in OAT to test the effectiveness of ILC against a standardized comparison with structural elements to increase the likelihood of exposure to the elements of treatment. Results obtained from this study may have important clinical, social, and economic implications for publicly funded treatment of opioid use disorder.

TRIAL REGISTRATION

ISRCTN, ISRCTN19554367 , registered on 04/09/2020.

Cognitive Empathy in Subtypes of Antisocial Individuals

Cognitive empathy allows individuals to recognize and infer how others think and feel in social situations and provides a foundation for the formation and maintenance of mutually constructive relationships. It may seem intuitive to assume that individuals who engage in antisocial behavior, who disregard the rights of others, might have problems with cognitive empathy. However, careful examination of the literature suggests that any dysfunction in cognitive empathy associated with antisociality varies by subtype of antisocial individual and is specific to subcomponents of cognitive empathy. In this review, we (1) briefly define subtypes of antisocial individuals ("psychopathic" vs. "antisocial-only"), (2) summarize specific components of cognitive empathy; (3) review existing literature examining cognitive empathy through questionnaires, behavioral tasks, and neuroimaging within different antisocial subtypes; and (4) discuss the limitations of the current research and potential future directions. Individuals in the psychopathic subtype fail to implicitly engage in cognitive empathy, and potentially lack insight into this issue reflected in no self-reported problems with cognitive empathy, but show an ability to engage in cognitive empathy when explicitly required. Individuals in the antisocial-only subtype appear able to engage in cognitive empathy, showing no differences on questionnaire or behavioral tasks that tap explicit cognitive empathy, but may display subtle difficulties accurately inferring (affective theory of mind) the emotions of others. We end the review by noting areas for future research, including the need to: (1) document the patterns of equifinality that exist across levels of analysis for these antisocial subtypes; (2) examine the temporality of empathy and antisociality development; (3) carefully consider and label subcomponents of cognitive empathy in research on antisocial behavior; and (4) investigate the intersection among environmental experiences, cognitive empathy, and antisocial behavior.

There are More than Two Sides to Antisocial Behavior: The Inextricable Link between Hemispheric Specialization and Environment

Human functions and traits are linked to cerebral networks serving different emotional and cognitive control systems, some of which rely on hemispheric specialization and integration to promote adaptive goal-directed behavior. Among the neural systems discussed in this context are those underlying pro- and antisocial behaviors. The diverse functions and traits governing our social behavior have been associated with lateralized neural activity. However, as with other complex behaviors, specific hemispheric roles are difficult to elucidate. This is due largely to environmental and contextual influences, which interact with neural substrates in the development and expression of pro and antisocial functions. This paper will discuss the reciprocal ties between environmental factors and hemispheric functioning in the context of social behavior. Rather than an exhaustive review, the paper will attempt to familiarize readers with the prominent literature and primary questions to encourage further research and in-depth discussion in this field.

Biocognitive Classification of Antisocial Individuals Without Explanatory Reductionism

Effective and specifically targeted social and therapeutic responses for antisocial personality disorders and psychopathy are scarce. Some authors maintain that this scarcity should be overcome by revising current syndrome-based classifications of these conditions and devising better biocognitive classifications of antisocial individuals. The inspiration for the latter classifications has been embedded in the Research Domain Criteria (RDoC) approach. RDoC-type approaches to psychiatric research aim at transforming diagnosis, provide valid measures of disorders, aid clinical practice, and improve health outcomes by integrating the data on the genetic, neural, cognitive, and affective systems underlying psychiatric conditions. In the first part of the article, we discuss the benefits of such approaches compared with the dominant syndrome-based approaches and review recent attempts at building biocognitive classifications of antisocial individuals. Other researchers, however, have objected that biocognitive approaches in psychiatry are committed to an untenable form of explanatory reductionism. Explanatory reductionism is the view that psychological disorders can be exclusively categorized and explained in terms of their biological causes. In the second part of the article, we argue that RDoC-like approaches need not be associated with explanatory reductionism. Moreover, we argue how this is the case for a specific biocognitive approach to classifying antisocial individuals.

Antisocial Disorders in Adolescence and Youth, According to Structural, Emotional, and Cognitive Transdiagnostic Variables: A Systematic Review

Transdiagnostic causal variables have been identified that have allowed understanding the origin and maintenance of psychopathologies in parsimonious explanatory models of antisocial disorders. However, it is necessary to systematize the information published in the last decade. The aim of the study was to identify through a systematic review, the structural, emotional and cognitive transdiagnostic variables in antisocial disorders of adolescence and youth. Recommendations for systematic reviews and meta-extraction and analysis of information according to the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA), the Cochrane Collaboration and Campbell were followed. We found 19 articles from 110 reviewed documents. The results indicated that at a structural level there is a general psychopathological factor (psychopathy or externalizing), non-emotional callousness and impulsivity from behavioral inhibition and activation systems, and negative affect traits as base structures. In the emotional level, the study found a risk component from emotional dysregulation and experiential avoidance. In the cognitive level, a key role of anger-rumination and violent ideation as explanatory variables of antisocial disorders. We concluded that the interaction of these identified variables makes it possible to generate an evidence-based transdiagnostic model.

The Empathic Brain of Psychopaths: From Social Science to Neuroscience in Empathy

Empathy is a crucial human ability, because of its importance to prosocial behavior, and for moral development. A deficit in empathic abilities, especially affective empathy, is thought to play an important role in psychopathic personality. Empathic abilities have traditionally been studied within the social and behavioral sciences using behavioral methods, but recent work in neuroscience has begun to elucidate the neural underpinnings of empathic processing in relation to psychopathy. In this review, current knowledge in the social neuroscience of empathy is discussed and a comprehensive view of the neuronal mechanisms that underlie empathy in psychopathic personality is provided. Furthermore, it will be argued that using classification based on overt behavior, we risk failing to identify important mechanisms involved in the psychopathology of psychopathy. In the last decade, there is a growing attention in combining knowledge from (neuro)biological research areas with psychology and psychiatry, to form a new basis for categorizing individuals. Recently, a converging framework has been put forward that applies such approach to antisocial individuals, including psychopathy. In this bio-cognitive approach, it is suggested to use information from different levels, to form latent categories on which individuals are grouped, that may better reflect underlying (neurobiological) dysfunctions. Subsequently, these newly defined latent categories may be more effective in guiding interventions and treatment. In conclusion, in my view, the future understanding of the social brain of psychopaths lies in studying the complex networks in the brain in combination with the use of other levels of information (e.g., genetics and cognition). Based on that, profiles of individuals can be formed that can be used to guide neurophysiological informed personalized treatment interventions that ultimately reduce violent transgressions in individuals with psychopathic traits.

The Association Between Emotion, Social Information Processing, and Aggressive Behavior: A Systematic Review

Abstract. Aggressive individuals are thought to process social information in such a manner that the likelihood of engaging in aggressive acts increases drastically. Additionally, emotion and emotion regulation skills are implicated in aggressive and violent behavior as well. However, little attention has been paid to the reciprocal relations between emotion and emotion regulation and Social Information Processing (SIP) in explaining aggression. Therefore, the present study systematically examined extant research on the role of emotion and SIP in aggressive behavior. The results supported substantial overlap between emotion and emotion regulation processes and SIP in explaining aggression. Due to the paucity and nature of available studies, no firm conclusion can be drawn about the nature of their reciprocal relationships. However, the integration of cognition and emotion seems a promising avenue of research for explaining the development and manifestation of aggressive behavior, as well as to inform its prevention and treatment. Future research is needed to elucidate the likely intertwined roles of emotion and the entire SIP process in offender or at-risk populations.

A Motivational Framework for Psychopathy: Toward a Reconceptualization of the Disorder

Abstract. The link between psychopathy and violence has been well documented. Estimates suggest psychopathic offenders are responsible for as much as 40% of violence-related crime, and that they show rates of violent recidivism up to five times higher than non-psychopathic offenders. Existing theories of the disorder argue that this violence stems from a core insensitivity to emotional/aversive information, or from a core inability to optimally allocate processing resources in complex environments. However, some newer findings have been difficult for existing theories to assimilate; moreover, successful treatment programs based off current conceptualizations have been slow to develop. With this in mind, the current paper proposes a new motivational framework for psychopathy, within which the disorder is conceptualized as stemming from more strategic, motivated processes. The paper begins by reviewing traditional theories of psychopathy and highlighting their explanatory strengths and limitations. The proposed motivational framework is then outlined, and a supportive rationale for the framework provided. Next, the paper undertakes a selective review of some of the most empirically supported features of the disorder, to highlight how these features may be productively reformulated within a motivational framework. Finally, the paper suggests several methods through which an empirical evaluation of the proposed ideas may be undertaken, and explores potential implications of a motivational framework for next-generation rehabilitation and treatment opportunities.

Emotion and conflict adaptation: the role of phasic arousal and self-relevance

Conflict adaptation reflects the increase in cognitive control after previous conflict between task-relevant and task-irrelevant information. Tonic (sustained) arousal elicited by emotional words embedded in a conflict task has previously been shown to increase conflict adaptation. However, the role of phasic (transient) emotional arousal remains unclear. In Experiment 1 (N = 55), we therefore investigated the effect of phasic arousal using a colour flanker task with negative, positive, and neutral words as stimuli. We hypothesised that phasic arousal elicited in this context will increase conflict adaptation in the subsequent trial. Indeed, when the words were positive or negative as compared to neutral, we observed increased conflict adaptation. In Experiment 2 (N = 54), we examined the role of the self-relevance by presenting words with a self-related pronoun ("my") or sender-related pronoun ("his"/"her"). We expected that emotional words with high self-relevance would lead to stronger effects of emotional arousal on conflict adaptation. Confirming this hypothesis, results showed that emotional words within a self-related context again increased conflict adaptation, whereas this effect was not observed in the sender-related context. Taken together, these results are the first to show that phasic arousal elicited by emotional words increases conflict adaptation, in particular when these words have high self-relevance.

The Computations of hostile biases (CHB) model: Grounding hostility biases in a unified cognitive framework

Our behavior is partly a product of our perception of the world, and aggressive individuals have been found to have 'hostility biases' in their perception and interpretation of social information. Four types of hostility biases can be distinguished: the hostile attribution, interpretation, expectation, and perception bias. Such low-level biases are believed to have a profound influence on decision-making, and possibly also increase the likelihood of engaging in aggressive acts. The current review systematically examined extant research on the four types of hostility bias, with a particular focus on the associations between each type of hostility bias and aggressive behavior. The results confirmed the robust association between hostility biases and aggressive behavior. However, it is still unknown how exactly hostility biases are acquired. This is also caused by a tendency to study hostility biases separately, as if they are non-interacting phenomena. Another issue is that current approaches cannot directly quantify the latent cognitive processes pertaining to the hostility biases, thus creating an explanatory gap. To fill this gap, we embedded the results of the systematic review in a state-of-the-art computational framework, which provides a novel mechanistic account with testable predictions.

Psychopathy, Neuroticism, and Abusive Behavior in Low Risk Child Sex Offenders

Personality traits are considered as an important aspect in the assessment of child sex offenders (CSOs). The current study sought to elucidate the association between neuroticism, psychopathy, and abusive behavior in low risk CSOs. 43 pedophilic CSOs and 21 controls (CTLs) completed the NEO-Personality Inventory-Revised (NEO-PI-R), Psychopathy Checklist: Screening Version (PCL:SV), and Multiphasic Sex Inventory (MSI). Our results revealed small differences in PCL scores between CSOs and CTLs, with comparatively low levels of psychopathy in both groups. Higher levels of neuroticism were associated with higher PCL scores, in both CSOs and CTLs. However, higher PCL scores in CSOs did not correlate with higher MSI total scores on the subscale child molest. These findings suggest an ambiguous role of psychopathy in CSOs: higher levels of psychopathy co-occur with higher levels of neuroticism, but psychopathy does apparently not modulate abusive behavior, at least not in low risk offenders, as currently investigated.

Amygdala functioning during threat acquisition and extinction differentiates antisocial subtypes

Extensive work implicates abnormal amygdala response during threatening stimuli in youth with antisocial behaviour. However, no research has examined whether youth identified in Primary and Secondary psychopathy subtypes would show differences in amygdala activity in response to threat acquisition and extinction. Latent profile analysis (LPA) was used to identify distinct antisocial groups based on participants' scores on callous-unemotional (CU) traits, anxiety, and familial abuse in a sample of 136 high-risk adolescents (mean age = 17.7, SD = 1.6; 86% male). Functional MRI was then used to assess amygdala activation patterns during a classical differential delay threat-conditioning task. In addition to the Primary and Secondary subtypes, we identified groups mainly high on anxiety and others who were mainly high on abuse. Participants in the Primary group showed lower right amygdala activity in response to neutral male faces compared to the low, Anxious, and Secondary groups, whereas participants in the group with history of abuse exhibited higher right amygdala activity during threat acquisition compared to the rest of the groups. During threat extinction, the Primary group showed lower right amygdala activity compared to the Secondary and abuse groups. This is the first study to reveal amygdala activation in identified psychopathy-related variants during threat conditioning. We found that stratifying the sample based on the identified variants revealed amygdala functioning patterns that furthered our understanding of emotion-based deficits among high-risk adolescents.

Investigating possible causal effects of externalizing behaviors on tobacco initiation: A Mendelian randomization analysis

Observational studies suggest childhood externalizing disorders are associated with increased smoking and earlier initiation. However, causality cannot be inferred from observational data alone. The current study uses two-sample MR to examine the causal relationship between externalizing behaviors and tobacco use. Single nucleotide polymorphisms (SNPs) associated with aggression were obtained from the Early Life Epidemiology Consortium (mean age 8), ADHD from the Integrative Psychiatric Research and Psychiatric Genomics Consortiums (age range 6-18), and tobacco initiation and age of onset from the Tobacco and Genetics Consortium. SNPs were combined using the inverse variance weighted approach, weighted median approach, and MR-Egger regression. There was no clear evidence of an effect of aggression on tobacco initiation or age of onset for childhood aggression (initiation: β -0.002, 95% CI -0.005, 0.001, P = 0.286; age: β -0.001 95% CI -0.002, 0.000, P = 0.310) or adolescent aggression (initiation: β -0.001, 95% CI -0.006, 0.003, P = 0.610; age: β 0.000, 95% CI 0.000, 0.001, P = 0.183)]. However, there was some evidence of an association of ADHD on tobacco initiation (OR 1.23, 95% CI 1.10, 1.35, P = 0.016), although no clear evidence of an effect of ADHD on age of onset (OR = 1.022, 95% CI 0.992, 1.052, P = 0.215). Our results provide some evidence that genetic risk of childhood ADHD is causally related to increased risk of tobacco initiation; however, the causal estimate is relatively small. We found no clear evidence that genetic risk of childhood aggression is causally related to the risk of tobacco initiation or age of onset.

A systematic review examining the link between psychopathic personality traits, antisocial behavior, and neural reactivity during reward and loss processing

Antisocial Behavior (AB) has a tremendous societal cost, motivating investigation of the mechanisms that cause individuals to engage and persist in AB. Recent theories of AB emphasize the role of reward-related neural processes in the etiology of severe and chronic forms of AB, including antisocial personality disorder and psychopathy. However, no systematic reviews have evaluated the hypothesis that reward-related neural dysfunction is an etiologic factor in AB in adult samples. Moreover, it is unclear whether AB is linked to a hyper- or hyposensitive reward system and whether AB is related to neural sensitivity to losses. Thus, the current systematic review examined whether AB (including antisocial personality disorder) and psychopathic traits are related to neural reactivity during reward processing, loss processing, or both. Our review identified seven task-based functional MRI or functional connectivity studies that examined associations between neural response to reward and loss, and dimensional and categorical measures of adult AB and/or psychopathy. Across studies, there was evidence that AB is associated with variability in neural functioning during both reward and loss processing. In particular, impulsive-antisocial traits appeared to be specifically associated with hypersensitivity in the ventral striatum during the anticipation, but not the receipt, of rewards. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Examining Associations Between Psychopathic Traits and Executive Functions in Incarcerated Violent Offenders

Executive functions (EFs) are essential in almost all aspects of daily life and have been robustly related to antisocial behavior. However, the relationship between psychopathy and EFs has remained equivocal. Research investigating lower-level trait dimensions of psychopathy using standardized EF measures could be beneficial in addressing this issue. In this study, we examined associations between four EFs and four dimensions of psychopathic traits (interpersonal, affective, lifestyle, antisocial) using zero-order correlation and a combination of classical and Bayesian statistical methods. Two hundred and fourteen incarcerated male violent offenders were assessed with the Psychopathy Checklist-Revised and completed tests of cognitive flexibility, spatial working memory, response inhibition, and planning and problem-solving using the Cambridge Neuropsychological Test Automated Battery. Lifestyle psychopathic traits were significantly associated with reduced initial thinking time in a planning and problem-solving task, with a Bayes factor indicating substantial evidence for the observed correlation, and antisocial psychopathic traits showed a significant association with reduced initial thinking time in the same task, although the Bayes factor indicated only anecdotal evidence. Significant associations were also found between affective and antisocial psychopathic traits and less efficient strategic thinking in a spatial working memory task, and between affective, lifestyle and antisocial psychopathic traits and fewer problems solved in a planning and problem-solving task, although these findings were not corroborated by the Bayesian analysis. While the observed effects ranged between small and medium, our study suggests that reduced initial thinking times in planning and problem-solving is robustly associated with higher degrees of lifestyle and antisocial psychopathic traits.

Disrupted Prefrontal Regulation of Striatal Subjective Value Signals in Psychopathy

Psychopathy is a personality disorder with strong links to criminal behavior. While research on psychopathy has focused largely on socio-affective dysfunction, recent data suggest that aberrant decision making may also play an important role. Yet, the circuit-level mechanisms underlying maladaptive decision making in psychopathy remain unclear. Here, we used a multi-modality functional imaging approach to identify these mechanisms in a population of adult male incarcerated offenders. Psychopathy was associated with stronger subjective value-related activity within the nucleus accumbens (NAcc) during inter-temporal choice and with weaker intrinsic functional connectivity between NAcc and ventromedial prefrontal cortex (vmPFC). NAcc-vmPFC connectivity strength was negatively correlated with NAcc subjective value-related activity; however, this putative regulatory pattern was abolished as psychopathy severity increased. Finally, weaker cortico-striatal regulation predicted more frequent criminal convictions. These data suggest that cortico-striatal circuit dysregulation drives maladaptive decision making in psychopathy, supporting the notion that reward system dysfunction comprises an important neurobiological risk factor.

Representational Uncertainty in the Brain During Threat Conditioning and the Link With Psychopathic Traits

BACKGROUND

Psychopathy has repeatedly been linked to disturbed associative learning from aversive events (i.e., threat conditioning). Optimal threat conditioning requires the generation of internal representations of stimulus-outcome contingencies and the rate with which these may change. Because mental representations are imperfect, there will always be uncertainty about the accuracy of representations in the brain (i.e., representational uncertainty). However, it remains unclear 1) to what extent threat conditioning is susceptible to different types of uncertainty in representations about contingencies during the acquisition phase and 2) how representational uncertainty relates to psychopathic features.

METHODS

A computational model was applied to functional neuroimaging data to estimate uncertainty in representations of contingencies (CoUn) and the rate of change of contingencies (RUn), respectively, from brain activation during the acquisition phase of threat conditioning in 132 adolescents at risk of developing antisocial personality profiles. Next, the associations between these two types of representational uncertainty and psychopathy-related dimensions were examined.

RESULTS

The left and right amygdala activations were associated with CoUn, while the bilateral insula and the right amygdala were associated with RUn. Different patterns of relationships were found between psychopathic features and each type of uncertainty. Callous-unemotional traits and impulsive-irresponsible traits uniquely predicted increased CoUn, while only impulsive-irresponsible traits predicted increased RUn.

CONCLUSIONS

The findings suggest that 1) the insula and amygdala differ in how these regions are affected by different types of representational uncertainty during threat conditioning and 2) CoUn and RUn have different patterns of relationships with psychopathy-related dimensions.