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. 2022 Apr 5:2022:1775777.
doi: 10.1155/2022/1775777. eCollection 2022.

Relationships between Personality Traits and Brain Gray Matter Are Different in Risky and Non-risky Drivers

Affiliations

Relationships between Personality Traits and Brain Gray Matter Are Different in Risky and Non-risky Drivers

Laura Mas-Cuesta et al. Behav Neurol. .

Abstract

Personality traits such as impulsivity or sensitivity to rewards and punishments have been associated with risky driving behavior, but it is still unclear how brain anatomy is related to these traits as a function of risky driving. In the present study, we explore the neuroanatomical basis of risky driving behavior and how the level of risk-taking influences the relationship between the traits of impulsivity and sensitivity to rewards and punishments and brain gray matter volume. One hundred forty-four participants with different risk-taking tendencies assessed by real-life driving situations underwent MRI. Personality traits were assessed with self-report measures. We observed that the total gray matter volume varied as a function of risky driving tendencies, with higher risk individuals showing lower gray matter volumes. Similar results were found for volumes of brain areas involved in the reward and cognitive control networks, such as the frontotemporal, parietal, limbic, and cerebellar cortices. We have also shown that sensitivity to reward and punishment and impulsivity are differentially related to gray matter volumes as a function of risky driving tendencies. Highly risky individuals show lower absolute correlations with gray matter volumes than less risk-prone individuals. Taken together, our results show that risky drivers differ in the brain structure of the areas involved in reward processing, cognitive control, and behavioral modulation, which may lead to dysfunctional decision-making and riskier driving behavior.

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Conflict of interest statement

The authors declare that there are no conflicts of interest regarding the publication of this paper.

Figures

Figure 1
Figure 1
An illustration of the correlations between the brain parcels (left accumbens, left inferior frontal orbital gyrus, and right posterior insula) and preference for immediate rewards (IR) and sensitivity to punishment (SP) for each risk group.

References

    1. Taubman-Ben-Ari O., Kaplan S., Lotan T., Prato C. G. The combined contribution of personality, family traits, and reckless driving intentions to young men’s risky driving: what role does anger play? Transportation Research Part F: Traffic Psychology and Behaviour . 2016;42:299–306. doi: 10.1016/j.trf.2015.10.025. - DOI
    1. Taubman-Ben-Ari O., Yehiel D. Driving styles and their associations with personality and motivation. Accident Analysis & Prevention . 2012;45:416–422. doi: 10.1016/j.aap.2011.08.007. - DOI - PubMed
    1. World Health Organization. Global Status Report on Road Safety 2015 . World Health Organization; 2015. http://www.who.int/violence_injury_prevention/road_safety_status/2015/en/
    1. World Health Organization. Global status report on road safety 2018. 2018 https://www.who.int/publications-detail/global-status-report-on-road-saf... .
    1. Padilla J.-L., Doncel P., Gugliotta A., Castro C. Which drivers are at risk? Factors that determine the profile of the reoffender driver. Accident Analysis and Prevention . 2018;119:237–247. doi: 10.1016/j.aap.2018.07.021. - DOI - PubMed

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