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

机译:解决驾驶员决策中的不确定性的神经关联。

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摘要

Neural correlates of driving and of decision making have been investigated separately, but little is known about the underlying neural mechanisms of decision making in driving. Previous research discusses two types of decision making: reward-weighted decision making and cost-weighted decision making. There are many reward-weighted decision making neuroimaging studies but there are few cost-weighted studies. Considering that driving involves serious risk, it is assumed that decision making in driving is cost weighted. Therefore, neural substrates of cost-weighted decision making can be assessed by investigation of driver's decision making. In this study, neural correlates of resolving uncertainty in driver's decision making were investigated. Turning right in left-hand traffic at a signalized intersection was simulated by computer graphic animation based videos. When the driver's view was occluded by a big truck, the uncertainty of the oncoming traffic was resolved by an in-car video assist system that presented the driver's occluded view. Resolving the uncertainty reduced activity in a distributed area including the amygdala and anterior cingulate. These results implicate the amygdala and anterior cingulate as serving a role in cost-weighted decision making.
机译:驾驶和决策的神经相关已分别进行了研究,但对驾驶决策的潜在神经机制知之甚少。先前的研究讨论了两种决策类型:奖励加权决策和成本加权决策。奖励加权决策神经影像学研究很多,但成本加权研究很少。考虑到驾驶会带来严重的风险,因此假设驾驶中的决策权重较高。因此,可以通过调查驾驶员的决策来评估成本加权决策的神经基础。在这项研究中,研究了解决驾驶员决策中的不确定性的神经相关性。通过基于计算机图形动画的视频模拟了在信号交叉口的左手交通向右转。当驾驶员的视野被一辆大卡车遮挡时,迎面而来的交通的不确定性由车载视频辅助系统解决,该系统提供了驾驶员遮挡的视野。解决不确定性会降低包括杏仁核和前扣带回在内的分布式区域的活动。这些结果暗示杏仁核和前扣带回在成本加权决策中起作用。

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