Literature DB >> 15919547

The neural correlates of driving performance identified using positron emission tomography.

Etsuo Horikawa1, Nobuyuki Okamura, Manabu Tashiro, Yumiko Sakurada, Masahiro Maruyama, Hiroyuki Arai, Keiichiro Yamaguchi, Hidetada Sasaki, Kazuhiko Yanai, Masatoshi Itoh.   

Abstract

Driving is a complex behavior involving multiple cognitive domains. To identify neural correlates of driving performance, [15O]H2O positron emission tomography was performed using a simulated driving task. Compared with the resting condition, simulated driving increased regional cerebral blood flow (rCBF) in the cerebellum, occipital, and parietal cortices. Correlations between rCBF and measurements of driving performance were evaluated during simulated driving. Interestingly, rCBF in the thalamus, midbrain, and cerebellum were positively correlated with time required to complete the course and rCBF in the posterior cingulate gyrus was positively correlated with number of crashes during the task. These brain regions may thus play roles in the maintenance of driving performance.

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Year:  2004        PMID: 15919547     DOI: 10.1016/j.bandc.2004.10.002

Source DB:  PubMed          Journal:  Brain Cogn        ISSN: 0278-2626            Impact factor:   2.310


  19 in total

1.  Passive BCI based on drowsiness detection: an fNIRS study.

Authors:  M Jawad Khan; Keum-Shik Hong
Journal:  Biomed Opt Express       Date:  2015-09-22       Impact factor: 3.732

2.  Neural correlates of resolving uncertainty in driver's decision making.

Authors:  Akiko M Callan; Rieko Osu; Yuya Yamagishi; Daniel E Callan; Naomi Inoue
Journal:  Hum Brain Mapp       Date:  2009-09       Impact factor: 5.038

3.  Neural mechanisms underlying urgent and evaluative behaviors: An fMRI study on the interaction of automatic and controlled processes.

Authors:  Alberto Megías; Juan Francisco Navas; Dafina Petrova; Antonio Cándido; Antonio Maldonado; Rocio Garcia-Retamero; Andrés Catena
Journal:  Hum Brain Mapp       Date:  2015-04-16       Impact factor: 5.038

4.  Large-scale functional brain network changes in taxi drivers: evidence from resting-state fMRI.

Authors:  Lubin Wang; Qiang Liu; Hui Shen; Hong Li; Dewen Hu
Journal:  Hum Brain Mapp       Date:  2014-10-23       Impact factor: 5.038

5.  An exploratory fNIRS study with immersive virtual reality: a new method for technical implementation.

Authors:  Bruno Seraglia; Luciano Gamberini; Konstantinos Priftis; Pietro Scatturin; Massimiliano Martinelli; Simone Cutini
Journal:  Front Hum Neurosci       Date:  2011-12-28       Impact factor: 3.169

6.  Greater Activity in the Frontal Cortex on Left Curves: A Vector-Based fNIRS Study of Left and Right Curve Driving.

Authors:  Noriyuki Oka; Kayoko Yoshino; Kouji Yamamoto; Hideki Takahashi; Shuguang Li; Toshiyuki Sugimachi; Kimihiko Nakano; Yoshihiro Suda; Toshinori Kato
Journal:  PLoS One       Date:  2015-05-19       Impact factor: 3.240

7.  Prediction of driving safety in individuals with homonymous hemianopia and quadrantanopia from clinical neuroimaging.

Authors:  Michael S Vaphiades; Lanning B Kline; Gerald McGwin; Cynthia Owsley; Ritu Shah; Joanne M Wood
Journal:  J Ophthalmol       Date:  2014-02-05       Impact factor: 1.909

8.  Functional brain imaging using near-infrared spectroscopy during actual driving on an expressway.

Authors:  Kayoko Yoshino; Noriyuki Oka; Kouji Yamamoto; Hideki Takahashi; Toshinori Kato
Journal:  Front Hum Neurosci       Date:  2013-12-24       Impact factor: 3.169

Review 9.  The cerebellum: a new key structure in the navigation system.

Authors:  Christelle Rochefort; Julie M Lefort; Laure Rondi-Reig
Journal:  Front Neural Circuits       Date:  2013-03-13       Impact factor: 3.492

10.  Neural substrates of driving behaviour.

Authors:  Hugo J Spiers; Eleanor A Maguire
Journal:  Neuroimage       Date:  2007-03-03       Impact factor: 6.556

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