ArticleJournal of psychiatry & neuroscience : JPN2021
The predictive value of neurobiological measures for recidivism in delinquent male young adults.
Article in Journal of psychiatry & neuroscience : JPN, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.
- Using physiological biomarkers in forensic psychiatry: a scoping review.Frontiers in psychiatry · 2025Pooled it
- The Effect of 6 weeks Physical Activity on Cognitive Control and Trait Impulsivity in Multi-problem Young Adults: First Findings of an RCT-study.International journal of offender therapy and comparative criminology · 2026Trial
- Neuroscience informed risk assessment and management in forensic mental healthcare: a qualitative analysis of ethical and legal challenges and practice-oriented recommendations.Frontiers in psychology · 2026Article
- Exploring the Frontiers of Technology in Forensic Psychiatric Youth Care: Ethical Challenges.Research on child and adolescent psychopathology · 2025Review
- Neuropsychological assessment of aggressive offenders: a Delphi consensus study.Frontiers in psychology · 2024Article
- Atypical functional connectome is associated with low reflective functioning in incarcerated adolescents.Frontiers in psychiatry · 2024Article
- Arts and Cultural Engagement, Reportedly Antisocial or Criminalized Behaviors, and Potential Mediators in Two Longitudinal Cohorts of Adolescents.Journal of youth and adolescence · 2022Article
- Acute Exercise Improves Inhibitory Control but Not Error Detection in Male Violent Perpetrators: An ERPs Study With the Emotional Stop Signal Task.Frontiers in human neuroscience · 2022Article
- Brief report: Free-living physical activity levels and cognitive control in multi-problem young adults.Frontiers in human neuroscience · 2022Article
- Hemodynamic activity in the limbic system predicts reoffending in women.NeuroImage. Clinical · 2022Article
- Using the biopsychosocial model for identifying subgroups of detained juveniles at different risk of re-offending in practice: a latent class regression analysis approach.Child and adolescent psychiatry and mental health · 2021Article
Corrections and comments
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Authors and funding
8 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Neurobiological measures have been associated with delinquent behaviour, but little is known about the predictive power of these measures for criminal recidivism and whether they have incremental value over and above demographic and behavioural measures. This study examined whether selected measures of autonomic functioning, functional neuroimaging and electroencephalography predict overall and serious recidivism in a sample of 127 delinquent young adults. Methods: We assessed demographics; education and intelligence; previous delinquency and drug use; behavioural traits, including aggression and psychopathy; and neurobiological measures, including heart rate, heart rate variability, functional brain activity during an inhibition task and 2 electroencephalographic measures of error-processing. We tested longitudinal associations with recidivism using Cox proportional hazard models and predictive power using C-indexes. Results: Past offences, long-term cannabis use and reactive aggression were strongly associated with recidivism, as were resting heart rate and error-processing. In the predictive model, demographics, past delinquency, drug use and behavioural traits had moderate predictive power for overall and for serious recidivism (C-index over 30 months [fraction of pairs in the data, where the higher observed survival time was correctly predicted]: C30 = 0.68 and 0.75, respectively). Neurobiological measures significantly improved predictive power (C30 = 0.72 for overall recidivism and C30 = 0.80 for serious recidivism). Limitations: Findings cannot be generalized to females, and follow-up was limited to 4 years. Conclusion: Demographic and behavioural characteristics longitudinally predicted recidivism in delinquent male young adults, and neurobiological measures improved the models. This led to good predictive function, particularly for serious recidivism. Importantly, the most feasible measures (autonomic functioning and electroencephalography) proved to be useful neurobiological predictors.
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