Objects tell us what action we can expect: dissociating brain areas for retrieval and exploitation of action knowledge during action observation in fMRI.

Objects tell us what action we can expect: dissociating brain areas for retrieval and exploitation of action knowledge during action observation in fMRI.
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DOI:
10.3389/fpsyg.2014.00636
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发表时间:
2014
影响因子:
3.8
通讯作者:
von Cramon DY
von Cramon DY
中科院分区:
心理学3区
文献类型:
--
作者:
Schubotz RI;Wurm MF;Wittmann MK;von Cramon DY

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物体会让人想起经常用它们做的动作:刀和苹果会让我们想起削苹果或切苹果。由物体的视觉引起的与物体相关的动作(动作代码)的助记表示可以约束并因此促进对展开动作的识别。本研究通过功能磁共振成像(fMRI)研究了在动作观察过程中,动作编码是否以及如何影响大脑的激活。对51组物体的动作代码(NAC)的平均数量进行评分,由一组n = 24名参与者打分。在一项功能磁共振成像研究中,不同的志愿者被要求识别在短视频中对相同物体所做的动作。为了将反映动作代码存储的区域与那些利用它们的区域分开,我们展示了对象兼容和对象不兼容(哑剧)的动作。在对象兼容和对象不兼容的操作中,存储动作代码的区域被认为与NAC正共变;由于其在工具相关任务中的作用,我们在这里假设左前下顶叶皮层(aIPL)。相比之下,利用动作代码的区域预计只在对象兼容而不是不兼容的动作中显示这种相关性,因为只有对象兼容的动作匹配一个活动动作代码。对于这种相互作用,我们假设腹外侧运动前皮层(PMv)由于其在IPL中偏倚竞争中的作用而加入aIPL。我们发现左侧顶叶前沟(IPS)和左侧后颞中回(pMTG)与NAC共变。除了这些区域外,动作代码还增加了双侧PMv、右侧IPS和侧枕皮质(LO)中物体兼容动作的活动。研究结果表明,在动作观察过程中,大脑从感知到的物体中衍生出可能的动作,并利用这些信息形成动作识别。特别是,预期动作的数量量化了PMv、IPL和pMTG的活动水平,但只有PMv反映了它们在观察到的动作展开时的偏见竞争。
Objects are reminiscent of actions often performed with them: knife and apple remind us on peeling the apple or cutting it. Mnemonic representations of object-related actions (action codes) evoked by the sight of an object may constrain and hence facilitate recognition of unrolling actions. The present fMRI study investigated if and how action codes influence brain activation during action observation. The average number of action codes (NAC) of 51 sets of objects was rated by a group of n = 24 participants. In an fMRI study, different volunteers were asked to recognize actions performed with the same objects presented in short videos. To disentangle areas reflecting the storage of action codes from those exploiting them, we showed object-compatible and object-incompatible (pantomime) actions. Areas storing action codes were considered to positively co-vary with NAC in both object-compatible and object-incompatible action; due to its role in tool-related tasks, we here hypothesized left anterior inferior parietal cortex (aIPL). In contrast, areas exploiting action codes were expected to show this correlation only in object-compatible but not incompatible action, as only object-compatible actions match one of the active action codes. For this interaction, we hypothesized ventrolateral premotor cortex (PMv) to join aIPL due to its role in biasing competition in IPL. We found left anterior intraparietal sulcus (IPS) and left posterior middle temporal gyrus (pMTG) to co-vary with NAC. In addition to these areas, action codes increased activity in object-compatible action in bilateral PMv, right IPS, and lateral occipital cortex (LO). Findings suggest that during action observation, the brain derives possible actions from perceived objects, and uses this information to shape action recognition. In particular, the number of expectable actions quantifies the activity level at PMv, IPL, and pMTG, but only PMv reflects their biased competition while observed action unfolds.
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