Striatal and Medial Temporal Lobe Functional Interactions during Visuomotor Associative Learning
Striatal and Medial Temporal Lobe Functional Interactions during Visuomotor Associative Learning
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DOI：
10.1093/cercor/bhq144
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发表时间：
2011-03-01
期刊：
影响因子：
3.7
通讯作者：
Stark, Craig E. L.
中科院分区：
文献类型：
--
作者：
Mattfeld, Aaron T.;Stark, Craig E. L.
包括内侧颞叶(MTL)和纹状体在内的区域网络是视觉运动联想学习的组成部分。在这里，我们评估了纹状体和MTL结构的贡献，以及它们在任意联想学习任务中的相互作用。我们假设纹状体中的活动将与学习速度相关，而MTL中的活动将跟踪联想学习的好程度。此外，我们预计功能关联将显示促进关系和竞争关系，这取决于涉及的地区。结果表明，整个纹状体的活动受学习速度的调节，感觉运动和腹侧纹状体的活动也受概率正确的调节。在整个MTL中，活动与正确的概率相关，而大脑周围皮质和右侧海马旁皮质则受到学习速度的调节。在学习过程中，腹侧纹状体的活动与MTL的活动强烈地耦合在一起，而联合纹状体和MTL之间的相互作用则表现出相反的模式。这些发现表明，纹状体和MTL的不同亚区的计算角色是可分离的。这些子区域以不同的方式相互作用，也许在学习任意联想的过程中形成了功能整合的网络。
A network of regions including the medial temporal lobe (MTL) and the striatum are integral to visuomotor associative learning. Here, we evaluated the contributions of the structures of the striatum and the MTL, as well as their interactions during an arbitrary associative learning task. We hypothesized that activity in the striatum would correlate with the rate of learning, while activity in the MTL would track how well associations were learned. Further, we expected functional correlations to show both facilitative as well as competitive relationships depending on the regions involved. Results showed that activity throughout the striatum was modulated by the rate of learning, while the sensorimotor and ventral striatum were also modulated by probability correct. Across the MTL, activity correlated with the probability of being correct, while the perirhinal cortex and right parahippocampal cortex were modulated by the rate of learning. The activity in the ventral striatum robustly coupled with activity in the MTL during learning, while interactions between the associative striatum and the MTL showed the opposite pattern. These findings suggest dissociable computational roles for different subregions of the striatum and MTL. These subregions interact in distinct ways, perhaps forming functionally integrated networks during the learning of arbitrary associations.