Neurocognitive and behavioral markers in DUI recidivists.
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2019
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Abstract
Driving under the influence (DUI) of alcohol recidivism may be a risk-taking behavior motivated by a change in decision-making capacity. Decision-making capacity has been investigated by event-related potentials (ERPs) acquisition and specifically by analyzing feedback-related negativity (FRN) reflecting the activity of medial prefrontal cortex. Thus, the aim of our study was to test the role of FRN as a possible neurophysiological marker of underestimation of risk associated with DUI recidivism to provide novel insights into the influence of neurocognitive aspects of driving ability. The research was structured as a case-control study. The total cohort (30 Italian male subjects) was divided into 2 groups, according to positive or negative history of DUI recidivism. The protocol included informed consent collection, medical history and clinical examination, ERP registration, and sensation-seeking scale administration. ERPs were acquired during a gambling task. The data were analyzed with 2 analysis of variance (ANOVA) repeated measures. Statistical analyses were conducted using R to test the participants' risk behaviors. A multivariate ANOVA was run to compare the personality traits of the groups. ANOVAs and planned comparisons were performed with StatSoft software. FRN amplitude analyses showed that the interaction Reward Magnitude × Valence (large vs. small × gains vs. losses) was significant for recidivists ((1,13) = 11.75, < .01) but not for controls ((1,14) = 0.04, = .84). The results of the logistic generalized linear models analysis showed that the 2 groups differed in risk-taking behavior ( = -3.65; < .001) with an average of 70 risky choices for recidivists and 63 for controls. Both groups were homogeneous for personality traits. The FRN and gambling task results suggest that DUI recidivists seemed attracted by the prospect of a large reward and appeared unable to recognize small losses read as wins These results, if confirmed in a larger sample, could indicate the usefulness of ERP analysis in clinical and forensic evaluation of DUI subjects.
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terranova2019neurocognitivetraffic
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| Authors | Terranova, Claudio;Tagliabue, Mariaelena;Cona, Giorgia;Gianfranchi, Evelyn;Di Pietra, Laura;Vidotto, Giulio;Montisci, Massimo; |
| Journal | traffic injury prevention |
| Year | 2019 |
| DOI |
10.1080/15389588.2019.1659591
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