Ross Robert S, Brown Thackery I, Stern Chantal E
Silvio O. Conte Center for Memory and Brain, Boston University, Boston, Massachusetts 02215, USA.
Hippocampus. 2009 Sep;19(9):790-9. doi: 10.1002/hipo.20558.
Computational models suggest that the hippocampus plays an important role in the retrieval of sequences. However, empirical evidence supporting hippocampal involvement during sequence retrieval is lacking. The current study used functional magnetic resonance imaging (fMRI) to examine the role of the human hippocampus during the learning and retrieval of sequences. Participants were asked to learn four sequences comprised of six faces each. An overlapping condition, where sequences shared common elements, was comprised of two sequences in which two identical faces were shown as the middle images of both sequences. A nonoverlapping condition contained two sequences that did not share any faces between them. A third random condition contained two sets of six faces that were always presented in a random order. The fMRI data were split into a learning phase and an experienced phase based upon each individual's behavioral performance. Patterns of hippocampal activity during presentation, delay, and choice periods were assessed both during learning (learning phase) and after subjects learned the sequences to criteria (experienced phase). The results revealed hippocampal activation during sequence learning, consistent with previous findings in rats and humans. Critically, the current results revealed hippocampal activation during the retrieval of learned sequences. No difference in hippocampal activation was seen between the overlapping and nonoverlapping sequences during either sequence learning or retrieval of sequences. The results extend our current knowledge by providing evidence that the hippocampus is active during the retrieval of learned sequences, consistent with current computational models of sequence learning and retrieval.
计算模型表明,海马体在序列提取过程中发挥着重要作用。然而,目前缺乏支持海马体在序列提取过程中发挥作用的实证证据。当前的研究使用功能磁共振成像(fMRI)来检验人类海马体在序列学习和提取过程中的作用。参与者被要求学习四个序列,每个序列由六张面孔组成。一种重叠条件,即序列共享共同元素,由两个序列组成,其中两张相同的面孔被显示为两个序列的中间图像。一种非重叠条件包含两个彼此不共享任何面孔的序列。第三种随机条件包含两组六张面孔,它们总是以随机顺序呈现。根据每个个体的行为表现,fMRI数据被分为学习阶段和经验阶段。在学习期间(学习阶段)以及受试者学习序列达到标准后(经验阶段),评估呈现、延迟和选择期间海马体活动的模式。结果显示,在序列学习期间海马体被激活,这与之前在大鼠和人类中的研究结果一致。至关重要的是,当前结果显示在提取已学习序列期间海马体被激活。在序列学习或序列提取过程中,重叠序列和非重叠序列之间在海马体激活方面没有差异。这些结果通过提供证据表明海马体在提取已学习序列期间是活跃的,扩展了我们目前的知识,这与当前序列学习和提取的计算模型一致。