Abstract
Aberrant driving behaviors cause accidents; however, there is a lack of understanding of the neural mechanisms underlying these behaviors. To address this issue, a task and resting-state functional connectivity was used to predict aberrant driving behavior and associated personality traits. The study included 29 right-handed participants with driving licenses issued for more than 1 year. During the functional magnetic resonance imaging experiment, participants first recorded their resting state and then watched a driving video while continuously rating the risk and speed on each block. Functional connectome-based predictive modeling was employed for whole brain tasks and resting-state functional connectivity to predict driving behavior (violation, error, and lapses), sensation-seeking, and impulsivity. Resting state and task-based functional connectivity were found to significantly predict driving violations, with resting state significantly predicting lapses and task-based functional connectivity showing a tendency to predict errors. Conversely, neither impulsivity nor sensation-seeking was associated with functional connectivity. The results suggest a significant association between aberrant driving behavior, but a nonsignificant association between impulsivity and sensation-seeking, and task-based or resting state functional connectivity. This could provide a deeper understanding of the neural processing underlying reckless driving that may ultimately be used to prevent accidents.
Original language | English |
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Article number | 1236 |
Journal | Brain Sciences |
Volume | 13 |
Issue number | 9 |
DOIs | |
Publication status | Published - Sept 2023 |
Bibliographical note
Publisher Copyright:© 2023 by the author.
Keywords
- aberrant driving
- error
- functional connectivity
- functional connectome
- lapses
- resting state
- violations
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Data from Kyung Hee University Advance Knowledge in Brain Sciences (Task and Resting-State Functional Connectivity Predict Driving Violations)
7/09/23
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