Literature DB >> 25227004

Effects of distraction task on driving: a functional magnetic resonance imaging study.

Soon-Cheol Chung1, Mi-Hyun Choi1, Hyung-Sik Kim1, Na-Rae You1, Sang-Pyo Hong1, Jung-Chul Lee1, Sung-Jun Park1, Ji-Hye Baek1, Ul-Ho Jeong1, Ji-Hye You1, Dae-Woon Lim2, Hyun-Jun Kim3.   

Abstract

This study investigated neuronal activation differences under two conditions: driving only and distracted driving. Driving and distraction tasks were performed using a Magnetic Resonance (MR)-compatible driving simulator with a driving wheel and pedal. The experiment consisted of three blocks, and each block had both a Rest phase (1 min) and a Driving phase (2 min). During the Rest phase, drivers were instructed to simply look at the stop screen without performing any driving tasks. During the Driving phase, each driver was required to drive at 110 km/h under two conditions: driving only and driving while performing additional distraction tasks. The results show that the precuneus, inferior parietal lobule, supramarginal gyrus, middle frontal gyrus, cuneus, and declive are less activated in distracted driving than in driving only. These regions are responsible for spatial perception, spatial attention, visual processing and motor control. However, the cingulate gyrus and sub-lobar regions (lentiform nucleus and caudate), which are responsible for error monitoring and control of unnecessary movement, show increased activation during distracted driving compared with driving only.

Entities:  

Keywords:  Distraction; MR-compatible driving simulator; driving; fMRI

Mesh:

Year:  2014        PMID: 25227004     DOI: 10.3233/BME-141117

Source DB:  PubMed          Journal:  Biomed Mater Eng        ISSN: 0959-2989            Impact factor:   1.300


  2 in total

1.  Development of an fMRI-compatible driving simulator with simultaneous measurement of physiological and kinematic signals: The multi-biosignal measurement system for driving (MMSD).

Authors:  Hyung-Sik Kim; Kyung-Ryoul Mun; Mi-Hyun Choi; Soon-Cheol Chung
Journal:  Technol Health Care       Date:  2020       Impact factor: 1.285

2.  Neural Correlates Predicting Lane-Keeping and Hazard Detection: An fMRI Study Featuring a Pedestrian-Rich Simulator Environment.

Authors:  Kentaro Oba; Koji Hamada; Azumi Tanabe-Ishibashi; Fumihiko Murase; Masaaki Hirose; Ryuta Kawashima; Motoaki Sugiura
Journal:  Front Hum Neurosci       Date:  2022-02-09       Impact factor: 3.169

  2 in total

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