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前海马体支持粗略的全局环境表示,而后海马体支持精细的局部环境表示。

The anterior hippocampus supports a coarse, global environmental representation and the posterior hippocampus supports fine-grained, local environmental representations.

机构信息

Norwegian University of Science and Technology.

出版信息

J Cogn Neurosci. 2013 Nov;25(11):1908-25. doi: 10.1162/jocn_a_00436. Epub 2013 Jun 27.

Abstract

Representing an environment globally, in a coarse way, and locally, in a fine-grained way, are two fundamental aspects of how our brain interprets the world that surrounds us. The neural correlates of these representations have not been explicated in humans. In this study we used fMRI to investigate these correlates and to explore a possible functional segregation in the hippocampus and parietal cortex. We hypothesized that processing a coarse, global environmental representation engages anterior parts of these regions, whereas processing fine-grained, local environmental information engages posterior parts. Participants learned a virtual environment and then had to find their way during fMRI. After scanning, we assessed strategies used and representations stored. Activation in the hippocampal head (anterior) was related to the multiple distance and global direction judgments and to the use of a coarse, global environmental representation during navigation. Activation in the hippocampal tail (posterior) was related to both local and global direction judgments and to using strategies like number of turns. A structural shape analysis showed that the use of a coarse, global environmental representation was related to larger right hippocampal head volume and smaller right hippocampal tail volume. In the inferior parietal cortex, a similar functional segregation was observed, with global routes represented anteriorly and fine-grained route information such as number of turns represented posteriorly. In conclusion, moving from the anterior to the posterior hippocampus and inferior parietal cortex reflects a shift from processing coarse global environmental representations to processing fine-grained, local environmental representations.

摘要

从整体上粗粒度地表示环境,以及从局部上细粒度地表示环境,是我们的大脑解释周围世界的两种基本方式。这些表示的神经相关性在人类中尚未得到明确阐述。在这项研究中,我们使用 fMRI 来研究这些相关性,并探索海马体和顶叶皮层中的可能功能分离。我们假设,处理粗粒度的全局环境表示会涉及这些区域的前部,而处理细粒度的局部环境信息则会涉及这些区域的后部。参与者学习了一个虚拟环境,然后在 fMRI 期间必须找到自己的路。扫描后,我们评估了所使用的策略和存储的表示。海马体头部(前部)的激活与多个距离和全局方向判断以及导航过程中的粗粒度全局环境表示有关。海马体尾部(后部)的激活与局部和全局方向判断以及使用类似转弯次数的策略有关。结构形状分析表明,使用粗粒度的全局环境表示与右侧海马体头部体积较大和右侧海马体尾部体积较小有关。在顶下皮层中,观察到类似的功能分离,其中全局路线在前部表示,而局部路线信息(如转弯次数)在后部表示。总之,从海马体的前部到后部以及顶下皮层的移动反映了从处理粗粒度的全局环境表示到处理细粒度的局部环境表示的转变。

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