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Predictive accuracy in the neuroprediction of rearrest
Psychiatry Publications and Presentations
  • Eyal Aharoni, RAND Corporation
  • Joshua Mallett, RAND Corporation
  • Gina M. Vincent, University of Massachusetts Medical School
  • Carla L. Harenski, Lovelace Biomedical and Environmental Research Institute
  • Vince D. Calhoun, Lovelace Biomedical and Environmental Research Institute
  • Walter Sinnott-Armstrong, Duke University
  • Michael S. Gazzaniga, University of California - Santa Barbara
  • Kent A. Kiehl, University of New Mexico Albuquerque
UMMS Affiliation
Department of Psychiatry
Publication Date
Document Type

A recently published study by the present authors reported evidence that functional changes in the anterior cingulate cortex within a sample of 96 criminal offenders who were engaged in a Go/No-Go impulse control task significantly predicted their rearrest following release from prison. In an extended analysis, we use discrimination and calibration techniques to test the accuracy of these predictions relative to more traditional models and their ability to generalize to new observations in both full and reduced models. Modest to strong discrimination and calibration accuracy were found, providing additional support for the utility of neurobiological measures in predicting rearrest.

DOI of Published Version
Soc Neurosci. 2014;9(4):332-6. doi: 10.1080/17470919.2014.907201. Link to article on publisher's site
Related Resources
Link to Article in PubMed
PubMed ID
Citation Information
Eyal Aharoni, Joshua Mallett, Gina M. Vincent, Carla L. Harenski, et al.. "Predictive accuracy in the neuroprediction of rearrest" Vol. 9 Iss. 4 (2014) ISSN: 1747-0919 (Linking)
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