Parallel contributions of distinct human memory systems during probabilistic learning.
Parallel contributions of distinct human memory systems during probabilistic learning.
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DOI：
10.1016/j.neuroimage.2010.10.080
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发表时间：
2011-03-01
期刊：
影响因子：
5.7
通讯作者：
Delgado MR
中科院分区：
文献类型：
--
作者：
Dickerson KC;Li J;Delgado MR
内侧颞叶和基底神经节内的区域被认为分别为陈述性和非陈述性过程的不同记忆系统提供服务。一个有趣的问题是，这些多个记忆系统如何在学习过程中相互作用，以促进目标导向行为。虽然一些假说认为，纹状体和海马等区域以竞争的方式相互作用，但其他观点认为，这些结构可能以平行的方式运作，以促进学习。在当前的实验中，我们探讨了在事件相关的概率学习任务，不同类型的困难（容易或困难的线索）和学习类型（通过反馈或观察）在人脑中的纹状体和海马区之间的功能连接。我们假设海马体和纹状体在学习过程中会以平行的方式相互作用。我们确定了纹状体和海马中的感兴趣区域（ROI），这些区域在学习过程中表现出线索困难的影响，并发现这些ROI显示出类似的血氧水平依赖（BOLD）反应模式，与学习类型无关，并且通过格兰杰因果关系分析评估功能相关。鉴于这两种结构与多巴胺能中脑中心的连接性，我们进一步应用了一种强化学习算法，该算法通常用于突出多巴胺在人类奖励相关学习范式中的作用。在反馈学习过程中，纹状体和海马的活动与预测误差信号呈正相关。这些结果表明，不同的人类记忆系统在概率学习过程中并行运作，特别是当违反预期发生时，可能会协同作用，共同促进学习和决策。
Regions within the medial temporal lobe and basal ganglia are thought to subserve distinct memory systems underlying declarative and nondeclarative processes, respectively. One question of interest is how these multiple memory systems interact during learning to contribute to goal directed behavior. While some hypotheses suggest that regions such as the striatum and the hippocampus interact in a competitive manner, alternative views posit that these structures may operate in a parallel manner to facilitate learning. In the current experiment, we probed the functional connectivity between regions in the striatum and hippocampus in the human brain during an event related probabilistic learning task that varied with respect to type of difficulty (easy or hard cues) and type of learning (via feedback or observation). We hypothesized that the hippocampus and striatum would interact in a parallel manner during learning. We identified regions of interest (ROI) in the striatum and hippocampus that showed an effect of cue difficulty during learning and found that such ROIs displayed a similar pattern of blood oxygen level dependent (BOLD) responses, irrespective of learning type, and were functionally correlated as assessed by a Granger causality analysis. Given the connectivity of both structures with dopaminergic midbrain centers, we further applied a reinforcement learning algorithm often used to highlight the role of dopamine in human reward related learning paradigms. Activity in both the striatum and hippocampus positively correlated with a prediction error signal during feedback learning. These results suggest that distinct human memory systems operate in parallel during probabilistic learning, and may act synergistically particularly when a violation of expectation occurs, to jointly contribute to learning and decision making.
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