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驾驶中的神经工效学:对人类驾驶中大脑神经影像学数据的关键性元分析。

Neuroergonomics of car driving: A critical meta-analysis of neuroimaging data on the human brain behind the wheel.

机构信息

Laboratoire d'Etude des Mécanismes Cognitifs, EA, 3082, Université de Lyon, France; Institut Universitaire de France, Paris, France.

Laboratoire d'Etude des Mécanismes Cognitifs, EA, 3082, Université de Lyon, France.

出版信息

Neurosci Biobehav Rev. 2018 Dec;95:464-479. doi: 10.1016/j.neubiorev.2018.10.016. Epub 2018 Oct 25.

Abstract

Car driving, an everyday life activity, has been under the scope of investigation for long. Neurosciences and psychology have contributed to better understand the human processes engaged while driving, to such an extent that a meta-analysis of all available fMRI data is now possible to extract the most relevant information. Using the Activation Likelihood Estimation method, we therefore conducted such a meta-analysis on 9 studies, representing 27 neuroimaging contrasts and 131 participants. We identified a network composed of brain areas underlying the cognitive abilities required for driving: sensorimotor coordination, sensory and attentional processing, high-level cognitive control and allocation of attentional resources. We complemented this meta-analysis with a neuroergonomics approach combining driving control knowledge, distinguishing the strategical, tactical and operational levels, with neuroscientific knowledge and models on cognitive control operated by the prefrontal cortex. The results exposed the distinct neural circuits engaged behind the wheel depending on the task performed. Based on the combination of neuroscientific and ergonomic knowledge, a hybrid car driving framework is also proposed.

摘要

驾驶行为作为日常生活的一部分,一直是研究的重点。神经科学和心理学的发展有助于我们更好地理解人类在驾驶过程中所涉及的认知过程,以至于现在可以通过对所有可用 fMRI 数据进行元分析来提取最相关的信息。因此,我们使用激活似然估计法对 9 项研究进行了元分析,这些研究代表了 27 项神经影像学对比和 131 名参与者。我们确定了一个由大脑区域组成的网络,这些区域是驾驶所需的认知能力的基础:感觉运动协调、感觉和注意力处理、高级认知控制和注意力资源分配。我们通过神经工效学方法来补充这项元分析,该方法结合了驾驶控制知识,区分了战略、战术和操作层面,以及与前额叶皮层进行的认知控制相关的神经科学知识和模型。结果揭示了在执行不同任务时,驾驶员背后涉及的不同神经回路。基于神经科学和工效学知识的结合,我们还提出了一个混合动力汽车驾驶框架。

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