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用于学习有序序列的海马体-顶叶网络。

A hippocampal-parietal network for learning an ordered sequence.

作者信息

Van Opstal Filip, Verguts Tom, Orban Guy A, Fias Wim

机构信息

Department of Experimental Psychology, Ghent University, H. Dunantlaan 2, Ghent, Belgium.

出版信息

Neuroimage. 2008 Mar 1;40(1):333-41. doi: 10.1016/j.neuroimage.2007.11.027. Epub 2007 Dec 3.

DOI:10.1016/j.neuroimage.2007.11.027
PMID:18155926
Abstract

The dynamics of the neural network that underlies learning transitive structures of an ordered sequence remains poorly understood. To address this, in the present study we used fMRI to track the time course of transitive inference learning. The hippocampus and the angular gyrus were each shown to be closely related to the learning trajectory, but differentially so. Hippocampal activity was shown to consistently increase with learning but no correlation was found between performance and hippocampal activation, suggesting a general role for the hippocampus. Left angular gyrus activity was also found to consistently increase with training, but, in addition, correlated significantly with behavioral performance. This suggests an involvement of the angular gyrus in learning the ordinal associations between the stimuli.

摘要

构成有序序列传递性结构学习基础的神经网络动态变化仍知之甚少。为解决这一问题,在本研究中我们使用功能磁共振成像(fMRI)来追踪传递性推理学习的时间进程。结果表明,海马体和角回均与学习轨迹密切相关,但方式有所不同。海马体活动随学习持续增加,但未发现其激活与表现之间存在相关性,这表明海马体具有一般性作用。左角回活动也随训练持续增加,此外,还与行为表现显著相关。这表明角回参与了刺激之间顺序关联的学习。

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