Visual event detection during simulated driving: Identifying the neural correlates with functional neuroimaging
Visual event detection during simulated driving: Identifying the neural correlates with functional neuroimaging
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DOI：
10.1016/j.trf.2004.09.006
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发表时间：
2004-07-01
影响因子：
4.1
通讯作者：
Green, C
中科院分区：
文献类型：
--
作者：
Graydon, FX;Young, R;Green, C
神经成像技术，如功能性磁共振成像（fMRI）的应用程序的驾驶员行为的调查是一个很有前途的补充方法，传统的研究方法。在这项研究中，我们使用全脑功能磁共振成像来识别神经相关和关键的大脑系统参与视觉事件检测在有限形式的模拟驾驶。参与者在几个条件下，不同的任务和相关的注意力需求。多个神经系统，包括额顶叶，扣带回和小脑网络与检测和响应的目标事件。我们将这些发现解释为反映了与视觉注意力，注意力控制和分配，刺激处理，反应选择，执行和时间相关的相互关联的神经过程，所有这些都是驾驶过程中的关键。模拟驾驶任务和相关注意力需求的差异表明额顶叶和小脑网络的作用更大。这种模式表明与运动协调和控制，警惕性，运动准备过程和运动反应的时间有关的差异。我们的结论是，即使是有限的模拟驾驶环境的一部分进行视觉事件检测从事多个相互连接的皮层和皮层下的神经系统协同工作。新兴的交通成像研究领域不仅提供了令人兴奋的研究机会，将驾驶作为一项复杂的人类活动进行研究，而且研究结果还可以应用于设计更高效，更安全的车辆控制系统和操作员界面。(C)2004爱思唯尔有限公司保留所有权利。
The application of neuroimaging techniques such as functional magnetic resonance imaging (fMRI) to the investigation of driver behaviour represents a promising complimentary approach to traditional research methodologies. In this study, we used whole brain fMRI to identify the neural correlates and key brain systems involved in visual event detection during a limited form of simulated driving. Participants were imaged during several conditions that differed with respect to the task and associated demands on attention. Multiple neural systems including fronto-parietal, cingulate, and cerebellar networks were associated with detecting and responding to the target events. We interpret these findings as reflecting interrelated neural processes associated with visual attention, attention control and allocation, stimulus processing, response selection, execution and timing, all of which are critical during driving. Differences in the simulated driving tasks and associated attention demands indicated a greater role for fronto-parietal and cerebellar networks. This pattern suggests differences related to motor coordination and control, vigilance, preparatory motor processes, and the timing of the motor responses. We conclude that visual event detection performed as part of even a limited simulated driving environment engages multiple interconnected cortical and sub-cortical neural systems working in concert. The newly emerging area of transportation imaging research not only offers exciting research opportunities to investigate driving as a complex human activity, but the findings can also be applied to the design of more efficient and safer vehicle control systems and operator interfaces. (C) 2004 Elsevier Ltd. All rights reserved.