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脑成像方法在驾驶行为研究中的应用。

Applications of brain imaging methods in driving behaviour research.

机构信息

Institute of Transport and Logistics Studies, The University of Sydney Business School, The University of Sydney, NSW, Australia; Centre for Spatial Data Infrastructure and Land Administration (CSDILA), School of Electrical, Mechanical and Infrastructure Engineering, The University of Melbourne, Australia.

Institute of Transport and Logistics Studies, The University of Sydney Business School, The University of Sydney, NSW, Australia.

出版信息

Accid Anal Prev. 2021 May;154:106093. doi: 10.1016/j.aap.2021.106093. Epub 2021 Mar 23.

Abstract

Applications of neuroimaging methods have substantially contributed to the scientific understanding of human factors during driving by providing a deeper insight into the neuro-cognitive aspects of driver brain. This has been achieved by conducting simulated (and occasionally, field) driving experiments while collecting driver brain signals of various types. Here, this sector of studies is comprehensively reviewed at both macro and micro scales. At the macro scale, bibliometric aspects of these studies are analysed. At the micro scale, different themes of neuroimaging driving behaviour research are identified and the findings within each theme are synthesised. The surveyed literature has reported on applications of four major brain imaging methods. These include Functional Magnetic Resonance Imaging (fMRI), Electroencephalography (EEG), Functional Near-Infrared Spectroscopy (fNIRS) and Magnetoencephalography (MEG), with the first two being the most common methods in this domain. While collecting driver fMRI signal has been particularly instrumental in studying neural correlates of intoxicated driving (e.g. alcohol or cannabis) or distracted driving, the EEG method has been predominantly utilised in relation to the efforts aiming at development of automatic fatigue/drowsiness detection systems, a topic to which the literature on neuro-ergonomics of driving particularly has shown a spike of interest within the last few years. The survey also reveals that topics such as driver brain activity in semi-automated settings or neural activity of drivers with brain injuries or chronic neurological conditions have by contrast been investigated to a very limited extent. Potential topics in driving behaviour research are identified that could benefit from the adoption of neuroimaging methods in future studies. In terms of practicality, while fMRI and MEG experiments have proven rather invasive and technologically challenging for adoption in driving behaviour research, EEG and fNIRS applications have been more diverse. They have even been tested beyond simulated driving settings, in field driving experiments. Advantages and limitations of each of these four neuroimaging methods in the context of driving behaviour experiments are outlined in the paper.

摘要

神经影像学方法的应用通过深入了解驾驶员大脑的神经认知方面,为驾驶过程中的人类因素的科学理解做出了重大贡献。这是通过在收集各种类型的驾驶员大脑信号的同时进行模拟(偶尔也进行现场)驾驶实验来实现的。在这里,从宏观和微观两个层面全面回顾了这一研究领域。在宏观层面,分析了这些研究的文献计量学方面。在微观层面,确定了神经影像学驾驶行为研究的不同主题,并综合了每个主题内的发现。调查文献报告了四种主要脑成像方法的应用。这些方法包括功能磁共振成像(fMRI)、脑电图(EEG)、功能近红外光谱(fNIRS)和脑磁图(MEG),前两种方法是该领域最常用的方法。尽管收集驾驶员 fMRI 信号对于研究醉酒驾驶(例如酒精或大麻)或分心驾驶的神经相关性特别有帮助,但 EEG 方法主要用于开发自动疲劳/困倦检测系统的努力,神经驾驶工效学领域的文献特别显示出近年来对这一主题的兴趣激增。调查还表明,与半自动驾驶环境中的驾驶员大脑活动或脑损伤或慢性神经系统疾病驾驶员的神经活动等主题相比,这些主题的研究非常有限。确定了未来研究中可以受益于神经影像学方法的潜在驾驶行为研究主题。从实用性的角度来看,虽然 fMRI 和 MEG 实验对于在驾驶行为研究中采用来说相当具有侵入性和技术挑战性,但 EEG 和 fNIRS 的应用更加多样化。它们甚至已经在现场驾驶实验中进行了模拟驾驶环境之外的测试。本文概述了这四种神经影像学方法在驾驶行为实验中的优缺点。

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