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内侧隔核对海马体的不同传入在时间和情景记忆的形成和整合中的互补作用(系统神经科学)。

Complementary roles of differential medial entorhinal cortex inputs to the hippocampus for the formation and integration of temporal and contextual memory (Systems Neuroscience).

机构信息

Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA.

Department of Neuroscience, University of Texas Southwestern Medical Center, Dallas, TX, USA.

出版信息

Eur J Neurosci. 2021 Oct;54(8):6762-6779. doi: 10.1111/ejn.14737. Epub 2020 May 2.

Abstract

In humans and rodents, the entorhinal cortical (EC)-hippocampal (HPC) circuit is crucial for the formation and recall of memory, preserving both spatial information and temporal information about the occurrence of past events. Both modeling and experimental studies have revealed circuits within this network that play crucial roles in encoding space and context. However, our understanding about the time-related aspects of memory is just beginning to be understood. In this review, we first describe updates regarding recent anatomical discoveries for the EC-HPC network, as several important neural circuits critical for memory formation have been discovered by newly developed neural tracing technologies. Second, we examine the complementary roles of multiple medial entorhinal cortical inputs, including newly discovered circuits, into the hippocampus for the temporal and spatial aspects of memory. Finally, we will discuss how temporal and contextual memory information is integrated in HPC cornu ammonis 1 cells. We provide new insights into the neural circuit mechanisms for anatomical and functional segregation and integration of the temporal and spatial aspects of memory encoding in the EC-HPC networks.

摘要

在人类和啮齿动物中,内嗅皮层 (EC)-海马 (HPC) 回路对于记忆的形成和回忆至关重要,它既能保存关于过去事件发生的空间信息,也能保存时间信息。建模和实验研究都揭示了该网络内的回路,这些回路在编码空间和情境方面起着至关重要的作用。然而,我们对于记忆的时间相关方面的理解才刚刚开始。在这篇综述中,我们首先描述了 EC-HPC 网络最近的解剖学发现的更新,因为新开发的神经示踪技术发现了几个对记忆形成至关重要的重要神经网络。其次,我们研究了多个内嗅皮层传入的补充作用,包括新发现的回路,它们对于记忆的时间和空间方面进入海马体。最后,我们将讨论如何在 HPC 角状回 1 细胞中整合时间和上下文记忆信息。我们提供了新的见解,了解 EC-HPC 网络中记忆编码的时间和空间方面的解剖学和功能分离与整合的神经回路机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d202/8187108/33993b1de616/nihms-1710094-f0001.jpg

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