Cameron Brendan D, Franks Ian M, Enns James T, Chua Romeo
School of Human Kinetics, University of British Columbia, 6081 University Blvd, Vancouver, BC, Canada.
Exp Brain Res. 2007 Aug;181(2):297-305. doi: 10.1007/s00221-007-0935-y. Epub 2007 Mar 21.
When a target moves to a new location during a rapid aiming movement, the hand follows it, even when the participant intends not to. Pisella et al. (Nat Neurosci 3:729-736, 2000) claim that the posterior parietal cortex, in the dorsal visual stream, is responsible for this 'automatic pilot'. Here we study the limits of automaticity in the dorsal stream through analysis of aiming movements to two targets in sequence. Participants were given a goal of moving rapidly to two targets, with the first movement being completed within approximately 200 ms. On 30% of trials, the first or the second target jumped unpredictably to a new location at movement onset, allowing us to measure the automatic capture of the hand. The results showed that hand movements were less responsive to target jumps in a 2-target condition than in a 1-target control condition. This indicates that the 'automatic pilot' is susceptible to interference from multiple visual inputs, implying that the dorsal stream is less effective at guiding actions online when multiple targets are attended.
当目标在快速瞄准动作过程中移动到新位置时,即使参与者有意不跟随,手也会随之移动。皮塞拉等人(《自然神经科学》3:729 - 736,2000年)声称,背侧视觉流中的后顶叶皮层负责这种“自动驾驶”。在这里,我们通过分析依次指向两个目标的瞄准动作来研究背侧流中自动性的限度。参与者的目标是快速移向两个目标,第一次动作要在大约200毫秒内完成。在30%的试验中,第一个或第二个目标在动作开始时不可预测地跳到新位置,这使我们能够测量手的自动捕捉情况。结果表明,与单目标对照条件相比,在双目标条件下,手部动作对目标跳跃的反应较小。这表明“自动驾驶”容易受到多个视觉输入的干扰,这意味着当关注多个目标时,背侧流在在线引导动作方面的效果较差。