@article{ref1,
title="Neural correlates predicting lane-keeping and hazard detection: an fMRI study featuring a pedestrian-rich simulator environment",
journal="Frontiers in human neuroscience",
year="2022",
author="Oba, Kentaro and Hamada, Koji and Tanabe-Ishibashi, Azumi and Murase, Fumihiko and Hirose, Masaaki and Kawashima, Ryuta and Sugiura, Motoaki",
volume="16",
number="",
pages="e754379-e754379",
abstract="Distracted attention is considered responsible for most car accidents, and many functional magnetic resonance imaging (fMRI) researchers have addressed its neural correlates using a car-driving simulator. Previous studies, however, have not directly addressed safe driving performance and did not place pedestrians in the simulator environment. In this fMRI study, we simulated a pedestrian-rich environment to explore the neural correlates of three types of safe driving performance: accurate lane-keeping during driving (driving accuracy), the braking response to a preceding car, and the braking response to a crossing pedestrian. Activation of the bilateral frontoparietal control network predicted high driving accuracy. On the other hand, activation of the left posterior and right anterior superior temporal sulci preceding a sudden pedestrian crossing predicted a slow braking response. The results suggest the involvement of different cognitive processes in different components of driving safety: the facilitatory effect of maintained attention on driving accuracy and the distracting effect of social-cognitive processes on the braking response to pedestrians.<p /> <p>Language: en</p>",
language="en",
issn="1662-5161",
doi="10.3389/fnhum.2022.754379",
url="http://dx.doi.org/10.3389/fnhum.2022.754379"
}