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Neural Age Predicts Recidivism Risk by Brenda Sharon is a document available to read on EtoBox.
What is Neural Age Predicts Recidivism Risk about?
The manuscript discusses the use of brain-based measures of cerebral aging to predict recidivism among offenders, demonstrating that brain-age models can improve predictions over traditional chronological age measures. The study involved MRI data from incarcerated males and showed that incorporating brain-age metrics, particularly from specific brain regions, enhances the accuracy of recidivism risk assessments. This research highlights the potential for brain imaging to inform treatment and rehabilitation
- Author
- Brenda Sharon
- Language
- EN