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当模拟成为互惠。

When emulation becomes reciprocity.

机构信息

Dipartimento di Psicologia Generale, Università di Padova, Via Venezia 8, 35131 Padova, Italy.

出版信息

Soc Cogn Affect Neurosci. 2013 Aug;8(6):662-9. doi: 10.1093/scan/nss044. Epub 2012 Apr 4.

Abstract

It is well known that perceiving another's body movements activates corresponding motor representations in an observer's brain. It is nevertheless true that in many situations simply imitating another's actions would not be an effective or appropriate response, as successful interaction often requires complementary rather than emulative movements. At what point does the automatic tendency to mirror another's actions become the inclination to carry out appropriate, complementary movements? In the present study, single-pulse transcranial magnetic stimulation (TMS) was used to explore corticospinal excitability in participants observing action sequences evoking imitative or complementary movements. TMS was delivered at five time points corresponding to different moments in time when key kinematic landmarks characterizing an observed action occurred. A variation in motor evoked potentials (MEPs) confirmed that the motor system flexibly shifts from imitative to complementary action tendencies. That shift appears to take place very precociously in time. Observers are attuned to advance movement information and can use it to anticipate a future course of action and to prepare for an appropriate, complementary action. Altogether, these findings represent a step forward in research concerning social action-perception coupling mechanisms providing important data to better understand the role of predictive simulation in social contexts.

摘要

众所周知,观察到他人的身体运动时,观察者的大脑中会激活相应的运动表象。然而,在许多情况下,仅仅模仿他人的动作并不是一种有效的或适当的反应,因为成功的互动通常需要互补而不是模仿的动作。从什么时候开始,自动模仿他人动作的倾向变成了执行适当、互补动作的倾向?在本研究中,使用单次经颅磁刺激(TMS)来探索参与者在观察引发模仿或互补动作的动作序列时的皮质脊髓兴奋性。TMS 在五个时间点上施加,这五个时间点对应于观察到的动作中关键运动学特征出现的不同时间点。运动诱发电位(MEPs)的变化证实了运动系统可以灵活地从模仿动作倾向转变为互补动作倾向。这种转变似乎发生得非常早。观察者对前进的运动信息很敏感,可以利用它来预测未来的动作,并为适当的、互补的动作做好准备。总之,这些发现代表了社会动作感知耦合机制研究的一个进步,为更好地理解预测模拟在社会环境中的作用提供了重要数据。

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