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    Neuroprediction of future rearrest.Eyal Aharoni, Gina M. Vincent, Carla L. Harenski, Vince D. Calhoun, Michael S. Walter Sinnott-Armstrong, Michael S. Gazzaniga & Kent A. Kiehl - 2013 - Pnas 110 (15):6223 – 6228.
    Identification of factors that predict recurrent antisocial behavior is integral to the social sciences, criminal justice procedures, and the effective treatment of high-risk individuals. Here we show that error-related brain activity elicited during performance of an in- hibitory task prospectively predicted subsequent rearrest among adult offenders within 4 y of release (N =96). The odds that an offender with relatively low anterior cingulate activity would be rearrested were approximately double that of an offender with high activity in this region, holding (...)
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  2. Neural processing of moral violations among incarcerated adolescents with psychopathic traits.Carla L. Harenski, Keith A. Harenski & Kent A. Kiehl - 2014 - Developmental Cognitive Neuroscience 10:181–189.
    Neuroimaging studies have found that adult male psychopaths show reduced engagement of limbic and paralimbic circuitry while making moral judgments. The goal of this study was to investigate whether these findings extend to adolescent males with psychopathic traits. Functional MRI was used to record hemodynamic activity in 111 incarcerated male adolescents while they viewed unpleasant pictures that did or did not depict moral transgressions and rated each on “moral violation severity”. Adolescents were assessed for psychopathic traits using the Psychopathy Checklist-Youth (...)
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  3. Altered Resting-State Functional Connectivity in Cortical Networks in Psychopathy.Carissa L. Philippi, Maia S. Pujara, Julian C. Motzkin, Joseph P. Newman, Kent A. Kiehl & Michael Koenigs - 2015 - The Journal of Neuroscience 35 (15):6068 – 6078.
    Psychopathy is a personality disorder characterized by callous antisocial behavior and criminal recidivism. Here we examine whether psychopathy is associated with alterations in functional connectivity in three large-scale cortical networks. Using fMRI in 142 adult male prison inmates, we computed resting-state functional connectivity using seeds from the default mode network, frontoparietal network, and cingulo-opercular network. To determine the specificity of our findings to these cortical networks, we also calculated functional connectivity using seeds from two comparison primary sensory networks: visual and (...)
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