Huang Ruey-Song, Chen Ching-Fu, Sereno Martin I
Institute for Neural Computation and
Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, California 92093.
J Neurosci. 2015 Mar 11;35(10):4258-67. doi: 10.1523/JNEUROSCI.2647-14.2015.
Moving or static obstacles often get in the way while walking in daily life. Avoiding obstacles involves both perceptual processing of motion information and controlling appropriate defensive movements. Several higher-level motion areas, including the ventral intraparietal area (VIP), medial superior temporal area, parieto-insular vestibular cortex (PIVC), areas V6 and V6A, and cingulate sulcus visual area, have been identified in humans by passive viewing of optic flow patterns that simulate egomotion and object motion. However, the roles of these areas in the active control of egomotion in the real world remain unclear. Here, we used functional magnetic resonance imaging (fMRI) to map the neural substrates underlying the passive observation and active control of translational egomotion in humans. A wide-field virtual reality environment simulated a daily scenario where doors randomly swing outward while walking in a hallway. The stimuli of door-dodging events were essentially the same in two event-related fMRI experiments, which compared passive and active dodges in response to swinging doors. Passive dodges were controlled by a computer program, while active dodges were controlled by the subject. Passive dodges activated several higher-level areas distributed across three dorsal motion streams in the temporal, parietal, and cingulate cortex. Active dodges most strongly activated the temporal-vestibular stream, with peak activation located in the right PIVC. Other higher-level motion areas including VIP showed weaker to no activation in active dodges. These results suggest that PIVC plays an active role in sensing and guiding translational egomotion that moves an observer aside from impending obstacles.
在日常生活中行走时,移动的或静止的障碍物常常会造成阻碍。避开障碍物既涉及对运动信息的感知处理,也涉及控制适当的防御动作。通过被动观察模拟自我运动和物体运动的光流模式,在人类中已确定了几个高级运动区域,包括腹侧顶内区(VIP)、颞上内侧区、顶岛前庭皮质(PIVC)、V6和V6A区以及扣带沟视觉区。然而,这些区域在现实世界中自我运动的主动控制中的作用仍不清楚。在这里,我们使用功能磁共振成像(fMRI)来绘制人类被动观察和平移自我运动主动控制背后的神经基质。一个宽视野虚拟现实环境模拟了在走廊行走时门随机向外摆动的日常场景。在两个事件相关fMRI实验中,躲避门事件的刺激基本相同,这两个实验比较了对摆动门的被动躲避和主动躲避。被动躲避由计算机程序控制,而主动躲避由受试者控制。被动躲避激活了颞叶、顶叶和扣带皮质中分布在三个背侧运动流中的几个高级区域。主动躲避最强烈地激活了颞-前庭流,峰值激活位于右侧PIVC。包括VIP在内的其他高级运动区域在主动躲避中显示出较弱的激活或无激活。这些结果表明,PIVC在感知和引导将观察者从即将到来的障碍物旁移开的平移自我运动中发挥着积极作用。