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在动作观察中的客体信息作用:一项 fMRI 研究。

On the role of object information in action observation: an fMRI study.

机构信息

Wolfson Centre for Clinical and Cognitive Neuroscience, School of Psychology, Bangor University, Bangor, North Wales, UK.

出版信息

Cereb Cortex. 2010 Dec;20(12):2798-809. doi: 10.1093/cercor/bhq026. Epub 2010 Mar 15.

Abstract

Observing other people's actions activates a network of brain regions that is also activated during the execution of these actions. Here, we used functional magnetic resonance imaging to test whether these "mirror" regions in frontal and parietal cortices primarily encode the spatiomotor aspects or the functional goal-related aspects of observed tool actions. Participants viewed static depictions of actions consisting of a tool object (e.g., key) and a target object (e.g., keyhole). They judged the actions either with regard to whether the objects were oriented correctly for the action to succeed (spatiomotor task) or whether an action goal could be achieved with the objects (function task). Compared with a control condition, both tasks activated regions in left frontoparietal cortex previously implicated in action observation and execution. Of these regions, the premotor cortex and supramarginal gyrus were primarily activated during the spatiomotor task, whereas the middle frontal gyrus was primarily activated during the function task. Regions along the intraparietal sulcus were more strongly activated during the spatiomotor task but only when the spatiomotor properties of the tool object were unknown in advance. These results suggest a division of labor within the action observation network that maps onto a similar division previously proposed for action execution.

摘要

观察他人的行为会激活大脑中一系列区域,这些区域在执行这些行为时也会被激活。在这里,我们使用功能磁共振成像来测试这些额顶叶皮质中的“镜像”区域主要编码观察到的工具动作的空间运动方面还是与功能目标相关的方面。参与者观看了由工具对象(例如,钥匙)和目标对象(例如,钥匙孔)组成的静态动作描述。他们判断这些动作是否符合成功执行动作的要求(空间运动任务),或者是否可以使用这些对象来实现动作目标(功能任务)。与对照条件相比,两个任务都激活了先前涉及动作观察和执行的左额顶叶皮质区域。在这些区域中,运动前皮质和缘上回在空间运动任务中主要被激活,而额中回在功能任务中主要被激活。顶内沟周围的区域在空间运动任务中被更强地激活,但仅在工具对象的空间运动特性事先未知的情况下。这些结果表明,动作观察网络中的分工与先前提出的动作执行中的分工相似。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f46b/2978238/f15064de835d/cercorbhq026f01_4c.jpg

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