Patterns of risk—Using machine learning and structural neuroimaging to identify pedophilic offenders
Bibliographic Data
Aberrant white matter microstructure in the prefronto-temporo-limbic circuit could be a potential neurobiological correlate for PO individuals at high-risk of reoffending with CSA. Although preliminary and exploratory at this point, our findings highlight the general potential of MRI-based biomarkers and particularly WM microstructure patterns for future CSA risk assessment and preventive efforts
Anterior cingulate cortex · Cognition · Cohort · Injury prevention · Neuroimaging · Pathology · Poison control · Psychiatry · Sexual abuse · Clinical Psychology · Medicine · Personality Disorders and Psychopathology · Psychology · Psychopathy, Forensic Psychiatry, Sexual Offending · Sexual function and dysfunction studies
Machine Learning Approaches for Clinical Psychology and Psychiatry
Therelationship of adverse childhood experiences to adult medical disease, psychiatric disorders and sexual behavior
Machine learning algorithm validation with a limited sample size
Support-Vector Networks
The prevalence of child sexual abuse in community and student samples
Assessing Risk for Sexual Recidivism
FSL
Controlling the False Discovery Rate
Impersonal and Predatory Relations With Child Victims of Sexual Assault
The Adolescent Risk-Taking Questionnaire
Associations between violence, criminality, and cognitive control deficits among young men living in low resource communities in South Africa
Are There Early Risk Markers for Pedophilia? A Nationwide Case-Control Study of Child Sexual Exploitation Material Offenders
Concordance and Discordance between Paraphilic Interests and Behaviors
How Common is Men's Self-Reported Sexual Interest in Prepubescent Children
Age differences in resistance to peer influence
Diffusion Tensor Imaging of Pedophilia
The Relation of Childhood Abuse Experiences to Problematic Sexual Behaviors in Male Youths Who Have Sexually Offended
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