The Association Between Breastfeeding Exposure and Duration, Neuropsychological Deficits, and Psychopathic Personality Traits in Offspring: The Moderating Role of 5HTTLPR

HTR1B genotype and psychopathy: Main effect and interaction with paternal maltreatment

Psychopathy is a condition characterized by atypical emotions and socially maladaptive behavioral patterns. Among incarcerated people, psychopathy has been associated with higher rates of crimes, recidivism, and resistance to treatment. Many studies have indicated significant heritability of psychopathic traits, but little is known about the specific contribution of genes and their interaction with adverse experiences in life. Considering the primary role that serotonin plays in cognition and emotion, we investigated TPH2-rs4570625, 5-HTTLPR, MAOA-uVNTR, HTR1B-rs13212041 and HTR2A-rs6314 as risk factors for psychopathy in the largest sample of institutionalized individuals studied so far, consisting of 793 US White male incarcerated adults, and in a replication sample of 168 US White male incarcerated adolescents. In a subgroup of the adult sample, the interaction between genetics and parenting style, assessed by the Measure of Parental Style (MOPS) questionnaire, was also evaluated. The HTR1B-rs13212041-T/T genotype, as compared to HTR1B-rs13212041-C allele, predicted higher psychopathy scores in both the adult and the adolescent samples. The interaction between HTR1B-rs13212041-T/T genotype and paternal MOPS scores, investigated in a subgroup of the adult sample, was an even stronger predictor of higher levels of psychopathy than either the genetics or the environment taken individually. Overall, these data, obtained in two independent samples, shed new light on neurobiological correlates of psychopathy with promising implications both at a clinical and forensic level.

Does the Psychopathology of the Parents Predict the Developmental-Emotional Problems of the Toddlers?

Introduction

Parental psychopathology has been defined in respect of psychopathological development in early childhood. This study aimed to investigate the effects of parental psychopathologies on social and emotional problems in the age range of 1-3 years and to determine children at risk.

Methods

The study data were obtained from the 2009 Early Childhood Mental Health Profile taking population distribution into consideration with the properties representing Turkey. The primary caregiver of the child completed the Psychiatric Evaluation Form for 1-3 years, the Brief Infant-Toddler Social Emotional Assessment (BITSEA), the Ages and Stages Questionnaire (ASQ), and the Brief Symptom Inventory (BSI) for themselves. Machine learning models used for prediction. The performance of prediction models was evaluated with the ten-fold cross-validation method. Area Under Curve (AUC) values were calculated with Receiver Operating Characteristic (ROC) curves to evaluate the performance of each model.

Results

The evaluation was made of the data of 2775 children, comprising 1507 (54.3%) males and 1268 (45.7%) females with a mean age of 26.19±9.11 months (range, 10-48 months). A total of 106 children were identified as at risk, as they were above the clinical cut-off point (1.5 standard deviations) of the BITSEA points and below the cut-off points of any one of the developmental areas of the ASQ. Modeling was applied to the data of these 106 children. The Support Vector Machines (SVM) model was selected for prediction with the automatically optimized highest AUC value. Weighting for the SVM algorithm showed mothers' BSI scores, fathers' education and health problems, duration of breastfeeding, unplanned pregnancy are significant for predicting BITSEA-problem scores in the model.

Conclusion

To be able to understand the complex relationship with parental psychopathology and behavioral problems, machine learning methods were used successfully in this study. Further studies with more massive data sets, more extended follow-up periods, and stronger algorithms will be able to identify risk groups earlier and allow early interventions to be implemented.

Early life predictors of callous-unemotional and psychopathic traits

Psychopathy is a disorder that occurs primarily in males. Offenders with psychopathic traits are responsible for a disproportionate amount of crime in society, particularly violent crime. Early childhood is a time when individual differences in empathy and guilt-key indicators of the construct of psychopathy-are first evident. A growing number of longitudinal studies have begun to investigate how factors in infancy and early childhood predict psychopathic-like traits in later childhood, adolescence, and adulthood. These studies have suggested that parenting styles during infancy (parental sensitivity, maternal harsh intrusion, commenting on the emotional state of the child) as well as attachment styles are predictive of later psychopathic-like traits. In addition, child characteristics such as temperament and the functioning of biological systems such as the autonomic nervous system and hypothalamic-pituitary-adrenal axis are predictive. Overall, studies have suggested that at least some of the origins of psychopathic traits are present in infancy and early childhood, which is consistent with the perspective of psychopathy as a neurodevelopmental disorder. A recent evolutionary-developmental model provides hypotheses regarding how psychopathy may develop and why it is more common in males than females. This model, and its implications for intervention, is discussed in the context of the longitudinal studies that have been conducted on psychopathy.

Brain Activity, Low Self-Control, and Delinquency: An fMRI Study of At-Risk Adolescents

PURPOSE

A vast literature finds that low self-control is associated with a myriad of antisocial behaviors. Consequently, increasing attention has focused on the causes of low self-control. While criminologists have directed significant attention to studying its social causes, fewer studies have considered its neural bases.

METHODS

We add to this nascent body of research by using data collected on an at-risk sample of adolescents participating in the ongoing Michigan Longitudinal Study. We examine the functioning of prefrontal and limbic regions of the brain during failed inhibitory control, assessed using the go/no-go task and functional magnetic resonance imaging, in relation to low self-control and self-reported delinquency.

RESULTS

Results indicate that greater activation localized in the anterior cingulate cortex (ACC) during failed inhibitory control is negatively associated with low self-control. Moreover, the association between ACC activity and later delinquency is mediated through low self-control.

CONCLUSIONS

Findings of this study demonstrate the utility of integrating neuroscientific and criminological perspectives on the causes of antisocial behavior. Concluding remarks address the theoretical and policy implications of the findings, as well as directions for future research.