Integration of target and effector information in the human brain during reach planning
Integration of target and effector information in the human brain during reach planning
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DOI：
10.1152/jn.00456.2006
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发表时间：
2007-01-01
影响因子：
2.5
通讯作者：
Medendorp, W. P.
中科院分区：
文献类型：
--
作者：
Beurze, S. M.;de Lange, F. P.;Medendorp, W. P.
为了计划伸展动作，大脑必须将目标位置的信息与为伸展而选择的肢体的信息结合起来。在这里，我们应用快速事件相关 3-T fMRI 来研究人类受试者 (n = 16) 在两个连续的视觉指令提示后准备伸展的过程。一个提示指示使用哪只手臂；另一个提示指示到达目标的位置。我们假设，参与目标和效应器信息整合的区域不仅应该对两个指令线索中的每一个做出反应，而且应该对第二个线索做出更强烈的反应，因为增加了整合处理来建立到达计划。我们发现后顶叶皮层、前运动皮层、内侧额叶皮层和岛叶皮层的双侧区域参与目标臂整合，左侧背外侧前额叶皮层和右侧枕叶沟的一个区域也以这种方式做出反应。我们进一步确定了这些区域在空间和效应特异性方面的功能特性。这表明后顶叶皮层和背侧前运动皮层指定了目标的空间位置和为响应选择的效应器。因此，我们得出的结论是，这些区域选择性地参与到达规划的神经计算，这与非人类灵长类动物的生理研究结果一致。
To plan a reaching movement, the brain must integrate information about the location of the target with information about the limb selected for the reach. Here, we applied rapid event-related 3-T fMRI to investigate this process in human subjects (n = 16) preparing a reach following two successive visual instruction cues. One cue instructed which arm to use; the other cue instructed the location of the reach target. We hypothesized that regions involved in the integration of target and effector information should not only respond to each of the two instruction cues, but should respond more strongly to the second cue due to the added integrative processing to establish the reach plan. We found bilateral regions in the posterior parietal cortex, the premotor cortex, the medial frontal cortex, and the insular cortex to be involved in target - arm integration, as well as the left dorsolateral prefrontal cortex and an area in the right lateral occipital sulcus to respond in this manner. We further determined the functional properties of these regions in terms of spatial and effector specificity. This showed that the posterior parietal cortex and the dorsal premotor cortex specify both the spatial location of a target and the effector selected for the response. We therefore conclude that these regions are selectively engaged in the neural computations for reach planning, consistent with the results from physiological studies in nonhuman primates.