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Neural changes when actions change: Adaptation of strong and weak expectations

机译:行动改变时神经发生变化:适应强弱期望

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摘要

Repeated experiences with an event create the expectation that subsequent events will expose an analog structure. These spontaneous expectations rely on an internal model of the event that results from learning. But what happens when events change? Do experience‐based internal models get adapted instantaneously, or is model adaptation a function of the solidity of, i.e., familiarity with, the corresponding internal model? The present fMRI study investigated the effects of model solidity on model adaptation in an action observation paradigm. Subjects were made acquainted with a set of action movies that displayed an altered script when encountered again in the scanning session. We found model adaptation to result in an attenuation of the premotor‐parietal network for action observation. Model solidity was found to modulate activation in the parahippocampal gyrus and the anterior cerebellar lobules, where increased solidity correlated with activity increase. Finally, the comparison between early and late stages of learning indicated an effect of model solidity on adaptation rate. This contrast revealed the involvement of a fronto‐mesial network of Brodmann area 10 and the ACC in those states of learning that were signified by high model solidity, no matter if the memorized original or the altered action model was the more solid component. Findings suggest that the revision of an internal model is dependent on its familiarity. Unwarranted adaptations, but also perseverations may thus be prevented. Hum Brain Mapp, 2013. © 2012 Wiley Periodicals, Inc.
机译:对事件的重复体验使人们期望后续事件将暴露出一个类似的结构。这些自发的期望依赖于学习带来的事件的内部模型。但是,当事件发生变化时会发生什么?基于经验的内部模型是立即适应的,还是模型适应是相应内部模型的牢固性(即熟悉度)的函数?目前的功能磁共振成像研究在动作观察范式中研究了模型坚固性对模型适应性的影响。使对象熟悉一组动作电影,当在扫描会话中再次遇到该动作电影时,脚本会显示更改的脚本。我们发现模型适应性导致运动观察前运动壁层网络的衰减。发现模型坚固性可调节海马旁回和小脑前小叶的激活,其中坚固性增加与活性增加相关。最后,在学习的早期和晚期之间进行比较,表明了模型坚固性对适应率的影响。这种对比揭示了Brodmann 10区和ACC的额-额网络参与了那些学习状态,这些状态以较高的模型稳定性表示,无论记忆的原始模型或更改后的动作模型是更牢固的部分。研究结果表明,内部模型的修订取决于其熟悉程度。因此,可以防止不必要的调整,也可以防止坚持不懈。嗡嗡声脑图,2013年。©2012 Wiley Periodicals,Inc.

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