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海马体在记忆编码与提取过程中的PET激活:HIPER模型。

Hippocampal PET activations of memory encoding and retrieval: the HIPER model.

作者信息

Lepage M, Habib R, Tulving E

机构信息

Rotman Research Institute of Baycrest Centre, University of Toronto, Ontario, Canada.

出版信息

Hippocampus. 1998;8(4):313-22. doi: 10.1002/(SICI)1098-1063(1998)8:4<313::AID-HIPO1>3.0.CO;2-I.

DOI:10.1002/(SICI)1098-1063(1998)8:4<313::AID-HIPO1>3.0.CO;2-I
PMID:9744418
Abstract

A meta-analysis of experimentally induced changes in blood flow ("activations") in positron emission tomography (PET) studies of memory has revealed an orderly functional anatomic pattern: Activations in the hippocampal region associated with episodic memory encoding are located primarily in the rostral portions of the region, whereas activations associated with episodic memory retrieval are located primarily in the caudal portions. These findings are based on an analysis of a sample of 54 "hippocampal encoding and retrieval" activations that were culled from an overall database consisting of 52 published PET studies of memory. We refer to this general pattern of rostrocaudal gradient of encoding and retrieval PET activations as the HIPER (Hippocampal Encoding/Retrieval) model. The model suggests a division of memory-related labor between the rostral and caudal portions of the hippocampal formation. Because functional anatomic pattern of encoding and retrieval activation that defines the HIPER model was unprecedented and unexpected, it is difficult to relate the model to what is already known or thought about functional neuroanatomy of episodic memory in the hippocampal regions. The model is interesting primarily because its exploration may yield fresh insights into the neural basis of human memory.

摘要

一项对正电子发射断层扫描(PET)记忆研究中实验诱导的血流变化(“激活”)的荟萃分析揭示了一种有序的功能解剖模式:与情景记忆编码相关的海马区域激活主要位于该区域的前部,而与情景记忆检索相关的激活主要位于后部。这些发现基于对从包含52项已发表的PET记忆研究的总体数据库中挑选出的54个“海马编码和检索”激活样本的分析。我们将这种编码和检索PET激活的前后梯度的一般模式称为HIPER(海马编码/检索)模型。该模型表明海马结构的前部和后部之间存在与记忆相关的分工。由于定义HIPER模型的编码和检索激活的功能解剖模式是前所未有的且出乎意料的,因此很难将该模型与海马区域情景记忆的功能神经解剖学中已知或已有的观点联系起来。该模型之所以有趣,主要是因为对其进行探索可能会对人类记忆的神经基础产生新的见解。

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