Literature DB >> 24212006

Cerebral activation and lateralization due to the cognition of a various driving speed difference: an fMRI study.

Hyung-Sik Kim1, Mi-Hyun Choi, Hee-Jeong Yoon, Hyun-Joo Kim, Ul-Ho Jeoung, Sung-Jun Park, Dae-Woon Lim, Soon-Cheol Chung, Beob-Yi Lee.   

Abstract

This study investigated the changes of cerebral activation and lateralization due to the cognition of three driving speeds in comparison to a reference driving speed using functional magnetic resonance imaging fMRI. A driving video as a visual stimulation source was recorded with four different driving speeds in a real driving situation. The experiment consisted of three blocks and each block included a one-minute control phase and a one-minute stimulation phase. The activation area and the lateralization index were analyzed by subtracting high speed data from low speed data. Such areas as occipital, parietal and frontal lobes, which is related to visual cognition, high order visual and spatial attention (or vigilance), were activated due to the cognition of various driving speed differences. As the driving speed difference increased, the activation area increased in the areas related to spatial attention (or vigilance), such as the frontal lobe, however, changes of neuronal activation in the occipital and parietal lobes were inconsistent. As the driving speed difference increased, the absolute value of cerebral lateralization decreased. These results may provide some basic data for elucidating the brain-function mechanism related to the cognition of a various driving speed difference based on a realistic visual stimulation.

Entities:  

Keywords:  Cerebral activation; Cerebral lateralization; Driving speed difference; fMRI

Mesh:

Year:  2014        PMID: 24212006     DOI: 10.3233/BME-130913

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.  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

  2 in total

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