Young chronological age is one of the strongest predictors for antisocial behaviour in the general population and for violent offending in individuals with psychotic disorders. An individual's age can be predicted with high accuracy using neuroimaging and machine-learning. The deviation between predicted and chronological age, i.e., brain age gap (BAG) has been suggested to reflect brain health, likely relating partly to neurodevelopmental and aging-related processes and specific disease mechanisms. Higher BAG has been demonstrated in patients with psychotic disorders. However, little is known about the brain-age in violent offenders with psychosis and the possible associations with psychopathy traits. We estimated brain-age in 782 male individuals using T1-weighted MRI scans. Three machine learning models (random forest, extreme gradient boosting with and without hyper parameter tuning) were first trained and tested on healthy controls (HC, n = 586). The obtained BAGs were compared between HC and age matched violent offenders with psychosis (PSY-V, n = 38), violent offenders without psychosis (NPV, n = 20) and non-violent psychosis patients (PSY-NV, n = 138). We ran additional comparisons between BAG of PSY-V and PSY-NV and associations with Positive and Negative Syndrome Scale (PANSS) total score as a measure of psychosis symptoms. Psychopathy traits in the violence groups were assessed with Psychopathy Checklist-revised (PCL-R) and investigated for associations with BAG. We found significantly higher BAG in PSY-V compared with HC (4.9 years, Cohen'sd = 0.87) and in PSY-NV compared with HC (2.7 years, d = 0.41). Total PCL-R scores were negatively associated with BAG in the violence groups (d = 1.17, p < 0.05). Additionally, there was a positive association between psychosis symptoms and BAG in the psychosis groups (d = 1.12, p < 0.05). While the significant BAG differences related to psychosis and not violence suggest larger BAG for psychosis, the negative associations between BAG and psychopathy suggest a complex interplay with psychopathy traits. This proof-of-concept application of brain age prediction in severe mental disorders with a history of violence and psychopathy traits should be tested and replicated in larger samples.
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http://dx.doi.org/10.1016/j.nicl.2022.103181 | DOI Listing |
J Clin Med
December 2024
Canterbury Child Development Research Group, School of Health Sciences, University of Canterbury, Christchurch 8140, New Zealand.
Children born with a very low birthweight (VLBW; <1500 g) and/or very preterm (VPT; <32 weeks) are at increased risk of mental health problems, but adult data are inconsistent. We examined the prevalence of a range of mental health disorders in a national cohort of adults born with a VLBW, as well as associations between gestational age and mental health outcomes. All infants born with a VLBW in New Zealand in 1986 were followed prospectively from birth.
View Article and Find Full Text PDFFront Psychiatry
December 2024
Lund Clinical Research on Externalizing and Developmental Psychopathology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden.
Introduction: Understanding violent criminality and its impact on health and eventually the risk of premature mortality is important for efficient future interventions. This study aimed to explore the effect violent criminality had on premature mortality (i.e.
View Article and Find Full Text PDFRev Colomb Psiquiatr (Engl Ed)
December 2024
History of Medicine Unit, Department of Social and Health Sciences, Faculty of Medicine, University of Murcia, Murcia, Spain.
Introduction And Objectives: The beliefs and opinions of the general population are based substantially on mass media, which often equates mental disorders with violence and criminality. These stigmatising depictions contribute to the development and persistence of negative attitudes towards people with psychiatric conditions. The objective was to examine, through popular music, the subcultural representations of crime and violence in the context of mental disorders, focusing on depictions of victims and offenders.
View Article and Find Full Text PDFBr J Psychiatry
December 2024
Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK.
Background: Links between personality disorders and antisocial outcomes has not examined individual personality disorders, and the contribution of comorbidities remain uncertain. Previous systematic reviews are dated.
Aims: To synthesise evidence from observational studies on the risk of antisocial outcomes and recidivism associated with personality disorders.
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