Literature DB >> 18952070

Conversation effects on neural mechanisms underlying reaction time to visual events while viewing a driving scene: fMRI analysis and asynchrony model.

Li Hsieh1, Richard A Young, Susan M Bowyer, John E Moran, Richard J Genik, Christopher C Green, Yow-Ren Chiang, Ya-Ju Yu, Chia-Cheng Liao, Sean Seaman.   

Abstract

This neuroimaging study investigated the neural mechanisms of the effect of conversation on visual event detection during a driving-like scenario. The static load paradigm, established as predictive of visual reaction time in on-road driving, measured reaction times to visual events while subjects watched a real-world driving video. Behavioral testing with twenty-eight healthy volunteers determined the reaction time effects from overt and covert conversation tasks in this paradigm. Overt and covert conversation gave rise to longer visual event reaction times in the surrogate driving paradigm compared to just driving with no conversation, with negligible effect on miss rates. The covert conversation task was then undertaken by ten right-handed healthy adults in a 4-Tesla fMRI magnet. We identified a frontal-parietal network that maintained event detection performance during the conversation task while watching the driving video. Increased brain activations for conversation vs. no conversation during such simulated driving was found not only in language regions (Broca's and Wernicke's areas), but also specific regions in bilateral inferior frontal gyrus, bilateral anterior insula and orbitofrontal cortex, bilateral lateral prefrontal cortex (right middle frontal gyrus and left frontal eye field), supplementary motor cortex, anterior and posterior cingulate gyrus, right superior parietal lobe, right intraparietal sulcus, right precuneus, and right cuneus. We propose an Asynchrony Model in which the frontal regions have a top-down influence on the synchrony of neural processes within the superior parietal lobe and extrastriate visual cortex that in turn modulate the reaction time to visual events during conversation while driving.

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Year:  2008        PMID: 18952070     DOI: 10.1016/j.brainres.2008.10.002

Source DB:  PubMed          Journal:  Brain Res        ISSN: 0006-8993            Impact factor:   3.252


  12 in total

1.  Conversation effects on neural mechanisms underlying reaction time to visual events while viewing a driving scene using MEG.

Authors:  Susan M Bowyer; Li Hsieh; John E Moran; Richard A Young; Arun Manoharan; Chia-cheng Jason Liao; Kiran Malladi; Ya-Ju Yu; Yow-Ren Chiang; Norman Tepley
Journal:  Brain Res       Date:  2008-10-11       Impact factor: 3.252

2.  Cerebellum and integration of neural networks in dual-task processing.

Authors:  Tao Wu; Jun Liu; Mark Hallett; Zheng Zheng; Piu Chan
Journal:  Neuroimage       Date:  2012-10-11       Impact factor: 6.556

Review 3.  A selective review of simulated driving studies: Combining naturalistic and hybrid paradigms, analysis approaches, and future directions.

Authors:  V D Calhoun; G D Pearlson
Journal:  Neuroimage       Date:  2011-06-21       Impact factor: 6.556

4.  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

5.  Cerebral oscillatory activity during simulated driving using MEG.

Authors:  Kotoe Sakihara; Masayuki Hirata; Kazutoshi Ebe; Kenji Kimura; Seong Yi Ryu; Yoshiyuki Kono; Nozomi Muto; Masako Yoshioka; Toshiki Yoshimine; Shiro Yorifuji
Journal:  Front Hum Neurosci       Date:  2014-12-16       Impact factor: 3.169

6.  Increase in brain activation due to sub-tasks during driving: fMRI study using new MR-compatible driving simulator.

Authors:  Mi-Hyun Choi; Hyung-Sik Kim; Hee-Jeong Yoon; Jung-Chul Lee; Ji-Hye Baek; Jin-Seung Choi; Gye-Rae Tack; Byung-Chan Min; Dae-Woon Lim; Soon-Cheol Chung
Journal:  J Physiol Anthropol       Date:  2017-01-26       Impact factor: 2.867

7.  Functional connectivity analysis of distracted drivers based on the wavelet phase coherence of functional near-infrared spectroscopy signals.

Authors:  Gongcheng Xu; Ming Zhang; Yan Wang; Zhian Liu; Congcong Huo; Zengyong Li; Mengyou Huo
Journal:  PLoS One       Date:  2017-11-27       Impact factor: 3.240

Review 8.  The Drives for Driving Simulation: A Scientometric Analysis and a Selective Review of Reviews on Simulated Driving Research.

Authors:  Alessandro Oronzo Caffò; Luigi Tinella; Antonella Lopez; Giuseppina Spano; Ylenia Massaro; Andrea Lisi; Fabrizio Stasolla; Roberto Catanesi; Francesco Nardulli; Ignazio Grattagliano; Andrea Bosco
Journal:  Front Psychol       Date:  2020-05-27

9.  Effective Connectivity Analysis of Brain Activated Regions during Distracted Driving.

Authors:  Mi-Hyun Choi; Jin-Ju Jung; Je-Hyeop Lee; Ye-Jin Kim; Kyu-Beom Kim; Hyung-Sik Kim; Jeong-Han Yi; Soon-Cheol Chung
Journal:  Brain Sci       Date:  2021-05-24

10.  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

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