Department of Neuromotor Behavior and Exercise, Institute of Sport and Exercise Sciences, University of Muenster, Horstmarer Landweg 62 b, 48149 Muenster, Germany; Professorship of Sport Psychology (with focus on Prevention and Rehabilitation), Institute of Human Movement Science and Health, Chemnitz University of Technology, Thueringer Weg 11, 09126 Chemnitz, Germany.
Neuroimage. 2021 Jan 15;225:117492. doi: 10.1016/j.neuroimage.2020.117492. Epub 2020 Oct 24.
Driving is a complex cognitive-motor task that requires the continuous integration of multisensory information, cognitive processes, and motor actions. With higher age, driving becomes increasingly challenging as a result of naturally declining neurophysiological resources. Performing additional subtasks, such as conversations with passengers or interactions with in-vehicle devices (e.g., adjusting the radio), may further challenge neurocognitive resources that are required to maintain driving performance. Based on declining brain physiological resources and inferior neurocognitive functioning, older adults (OA) may show higher brain activation and larger performance decrements than younger adults (YA) when engaging in additional subtasks during driving. Age differences, however, may further vary for different neurocognitive task demands, such that driving performance of OA might be particularly affected by certain subtasks. In this study, we hence investigated the brain functional correlates of age differences in driving behavior during concurrent subtask performance in YA and OA. Our final sample consisted of thirty younger (21.80 ± 1.73y, 15 female) and thirty older (69.43 ± 3.30y, 12 female) regular drivers that drove along a typical rural road (25 - 30 min) in a driving simulator and performed three different concurrent subtasks that were presented auditorily or visually: typing a 3-digit number (TYPE), comparing traffic news and gas station prices (working memory, WM), and stating arguments (ARG). We measured variability in lateral car position, velocity, and following distance to a frontal lead car as the standard deviation from 0 to 15 s after subtask onset. Brain activity was continuously recorded using functional near-infrared spectroscopy over the dorsolateral prefrontal cortex. Both YA and OA particularly varied in their lateral position during TYPE with a more pronounced effect in OA. For YA, in contrast, ARG led to higher variability in velocity compared to TYPE and WM, whereas OA showed no task-specific differences. Substantiating our behavioral findings, OA revealed the largest brain functional response to TYPE, while YA demonstrated a very distinct activation during ARG and smaller hemodynamic responses to TYPE and WM. Brain activity in the DLPFC was, overall, not significantly, but small to moderately related to certain behavioral performance parameters (mainly lateral position). We conclude that both OA and YA are vulnerable to distractive subtasks while driving. Age differences, however, seem to largely depend on neurocognitive task demands. OA may be at higher risk for accidents when performing visuo-motor subtasks (e.g., interacting with navigational systems) during driving while YA may be more (cognitively) distracted when talking to passengers.
驾驶是一项复杂的认知-运动任务,需要不断整合多感官信息、认知过程和运动动作。随着年龄的增长,由于神经生理资源的自然下降,驾驶变得越来越具有挑战性。执行额外的辅助任务,例如与乘客交谈或与车内设备交互(例如,调整收音机),可能会进一步挑战维持驾驶表现所需的神经认知资源。基于大脑生理资源的下降和较差的神经认知功能,老年人(OA)在驾驶时执行额外的辅助任务时,可能比年轻人(YA)表现出更高的大脑激活和更大的表现下降。然而,年龄差异可能因不同的神经认知任务需求而进一步变化,因此 OA 的驾驶表现可能会受到某些辅助任务的特别影响。在这项研究中,我们调查了 YA 和 OA 在执行驾驶模拟器中典型农村道路行驶时同时执行辅助任务时驾驶行为的年龄差异的大脑功能相关性。我们的最终样本包括三十名年轻(21.80 ± 1.73 岁,15 名女性)和三十名年长(69.43 ± 3.30 岁,12 名女性)的常规驾驶员,他们在驾驶模拟器中沿着一条典型的农村道路行驶(25-30 分钟),并执行了三个不同的同时辅助任务,这些任务通过听觉或视觉呈现:输入 3 位数字(TYPE)、比较交通新闻和加油站价格(工作记忆,WM)以及陈述论点(ARG)。我们测量了从辅助任务开始后 0 到 15 秒内侧向汽车位置、速度和与前方领车的跟随距离的标准偏差,作为侧向位置的变化。使用功能近红外光谱术连续记录背外侧前额叶皮层的大脑活动。无论是 YA 还是 OA,在 TYPE 期间的侧向位置变化都特别明显,OA 的变化更为明显。相比之下,对于 YA,ARG 导致速度变化与 TYPE 和 WM 相比更高,而 OA 则没有表现出特定任务的差异。我们的行为发现得到了支持,OA 对 TYPE 的大脑功能反应最大,而 YA 在 ARG 期间表现出非常明显的激活,而对 TYPE 和 WM 的血液动力学反应较小。DLPFC 的大脑活动总体上与某些行为表现参数(主要是侧向位置)没有显著相关,但具有较小到中等程度的相关性。我们得出结论,OA 和 YA 在驾驶时都容易受到分心的辅助任务的影响。然而,年龄差异在很大程度上似乎取决于神经认知任务需求。OA 在执行视觉-运动辅助任务(例如,与导航系统交互)时可能面临更高的事故风险,而 YA 在与乘客交谈时可能更容易(认知)分心。