Different activation dynamics in multiple neural systems during simulated driving

Driving is a complex behavior that recruits multiple cognitive elements. We report on an imaging study of simulated driving that reveals multiple neural systems, each of which have different activation dynamics. The neural correlates of driving behavior are identified with fMRI and their modulation...

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Bibliographic Details
Published inHuman brain mapping Vol. 16; no. 3; pp. 158 - 167
Main Authors Calhoun, Vince D., Pekar, James J., McGinty, Vince B., Adali, Tulay, Watson, Todd D., Pearlson, Godfrey D.
Format Journal Article
LanguageEnglish
Published New York Wiley Subscription Services, Inc., A Wiley Company 01.07.2002
Wiley-Liss
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Summary:Driving is a complex behavior that recruits multiple cognitive elements. We report on an imaging study of simulated driving that reveals multiple neural systems, each of which have different activation dynamics. The neural correlates of driving behavior are identified with fMRI and their modulation with speed is investigated. We decompose the activation into interpretable pieces using a novel, generally applicable approach, based upon independent component analysis. Some regions turn on or off, others exhibit a gradual decay, and yet others turn on transiently when starting or stopping driving. Signal in the anterior cingulate cortex, an area often associated with error monitoring and inhibition, decreases exponentially with a rate proportional to driving speed, whereas decreases in frontoparietal regions, implicated in vigilance, correlate with speed. Increases in cerebellar and occipital areas, presumably related to complex visuomotor integration, are activated during driving but not associated with driving speed. Hum. Brain Mapping 16:158–167, 2002. © 2002 Wiley‐Liss, Inc.
Bibliography:istex:8E49A9A5503FB666067442E7A7439D1C5D1EF58D
NIH - No. 1P41RR15241-01
Outpatient Clinical Research Center - No. M01-RR00052
ark:/67375/WNG-2JCTB59M-S
ArticleID:HBM10032
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ISSN:1065-9471
1097-0193
DOI:10.1002/hbm.10032