Mind, Brain and Behavior Research Center, University of Granada, Campus de Cartuja s/n, Granada, Spain.
School of Psychology, University of Granada, Campus de Cartuja s/n, Granada, Spain.
Psychophysiology. 2024 Dec;61(12):e14674. doi: 10.1111/psyp.14674. Epub 2024 Aug 21.
Anticipatory brain activity makes it possible to predict the occurrence of expected situations. However, events such as traffic accidents are statistically unpredictable and can generate catastrophic consequences. This study investigates the brain activity and effective connectivity associated with anticipating and processing such unexpected, unavoidable accidents. We asked 161 participants to ride a motorcycle simulator while recording their electroencephalographic activity. Of these, 90 participants experienced at least one accident while driving. We conducted both within-subjects and between-subjects comparisons. During the pre-accident period, the right inferior parietal lobe (IPL), left anterior cingulate cortex (ACC), and right insula showed higher activity in the accident condition. In the post-accident period, the bilateral orbitofrontal cortex, right IPL, bilateral ACC, and middle and superior frontal gyrus also showed increased activity in the accident condition. We observed greater effective connectivity within the nodes of the limbic network (LN) and between the nodes of the attentional networks in the pre-accident period. In the post-accident period, we also observed greater effective connectivity between networks, from the ventral attention network (VAN) to the somatomotor network and from nodes in the visual network, VAN, and default mode network to nodes in the frontoparietal network, LN, and attentional networks. This suggests that activating salience-related processes and emotional processing allows the anticipation of accidents. Once an accident has occurred, integration and valuation of the new information takes place, and control processes are initiated to adapt behavior to the new demands of the environment.
前瞻性脑活动使得预测预期情况的发生成为可能。然而，交通事故等事件在统计学上是不可预测的，可能会产生灾难性的后果。本研究调查了与预期和处理这种意外、不可避免的事故相关的大脑活动和有效连接。我们要求 161 名参与者在驾驶摩托车模拟器的同时记录他们的脑电图活动。其中 90 名参与者在驾驶过程中至少经历了一次事故。我们进行了组内和组间比较。在事故前阶段，右侧下顶叶（IPL）、左侧前扣带皮层（ACC）和右侧岛叶在事故条件下表现出更高的活动。在事故后阶段，双侧眶额皮层、右侧 IPL、双侧 ACC 以及中额和上额回也在事故条件下表现出更高的活动。我们观察到在事故前阶段，边缘网络（LN）节点内和注意力网络节点之间的有效连接增加。在事故后阶段，我们还观察到从腹侧注意网络（VAN）到躯体运动网络以及从视觉网络、VAN 和默认模式网络的节点到额顶叶网络、LN 和注意力网络的节点之间的网络间有效连接增加。这表明激活与突显相关的过程和情绪处理可以预测事故。一旦发生事故，就会对新信息进行整合和评估，并启动控制过程，使行为适应环境的新需求。
