TY  - JOUR
PY  - 2022//
TI  - Neural correlates predicting lane-keeping and hazard detection: an fMRI study featuring a pedestrian-rich simulator environment
JO  - Frontiers in human neuroscience
A1  - Oba, Kentaro
A1  - Hamada, Koji
A1  - Tanabe-Ishibashi, Azumi
A1  - Murase, Fumihiko
A1  - Hirose, Masaaki
A1  - Kawashima, Ryuta
A1  - Sugiura, Motoaki
SP  - e754379
EP  - e754379
VL  - 16
IS  - 
N2  - 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>
LA  - en
SN  - 1662-5161
UR  - http://dx.doi.org/10.3389/fnhum.2022.754379
ID  - ref1
ER  -