Literature DB >> 23298106

Methodology for functional MRI of simulated driving.

Karen Kan1, Tom A Schweizer, Fred Tam, Simon J Graham.   

Abstract

PURPOSE: The developed world faces major socioeconomic and medical challenges associated with motor vehicle accidents caused by risky driving. Functional magnetic resonance imaging (fMRI) of individuals using virtual reality driving simulators may provide an important research tool to assess driving safety, based on brain activity and behavior.
METHODS: A fMRI-compatible driving simulator was developed and evaluated in the context of straight driving, turning, and stopping in 16 young healthy adults.
RESULTS: Robust maps of brain activity were obtained, including activation of the primary motor cortex, cerebellum, visual cortex, and parietal lobe, with limited head motion (<1.5 mm deviation from mean head position in the superior∕inferior direction in all subjects) and only minor correlations between head motion, steering, or braking behavior.
CONCLUSIONS: These results are consistent with previous literature and suggest that with care, fMRI of simulated driving is a feasible undertaking.

Entities:  

Mesh:

Year:  2013        PMID: 23298106     DOI: 10.1118/1.4769107

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  6 in total

1.  Greater cerebellar gray matter volume in car drivers: an exploratory voxel-based morphometry study.

Authors:  Hiroyuki Sakai; Takafumi Ando; Norihiro Sadato; Yuji Uchiyama
Journal:  Sci Rep       Date:  2017-04-18       Impact factor: 4.379

2.  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

3.  Driving With Distraction: Measuring Brain Activity and Oculomotor Behavior Using fMRI and Eye-Tracking.

Authors:  Nicole H Yuen; Fred Tam; Nathan W Churchill; Tom A Schweizer; Simon J Graham
Journal:  Front Hum Neurosci       Date:  2021-08-16       Impact factor: 3.169

4.  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

5.  Brain activity during driving with distraction: an immersive fMRI study.

Authors:  Tom A Schweizer; Karen Kan; Yuwen Hung; Fred Tam; Gary Naglie; Simon J Graham
Journal:  Front Hum Neurosci       Date:  2013-02-28       Impact factor: 3.169

Review 6.  The Racer's Brain - How Domain Expertise is Reflected in the Neural Substrates of Driving.

Authors:  Otto Lappi
Journal:  Front Hum Neurosci       Date:  2015-11-24       Impact factor: 3.169

  6 in total

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