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多模态分区和广泛的行为分析解决海马梯度问题。

Multimodal Parcellations and Extensive Behavioral Profiling Tackling the Hippocampus Gradient.

机构信息

Institute of Systems Neuroscience, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.

Institute of Neuroscience and Medicine (INM-1, INM-7), Research Centre Jülich, Jülich, Germany.

出版信息

Cereb Cortex. 2019 Dec 17;29(11):4595-4612. doi: 10.1093/cercor/bhy336.

Abstract

The hippocampus displays a complex organization and function that is perturbed in many neuropathologies. Histological work revealed a complex arrangement of subfields along the medial-lateral and the ventral-dorsal dimension, which contrasts with the anterior-posterior functional differentiation. The variety of maps has raised the need for an integrative multimodal view. We applied connectivity-based parcellation to 1) intrinsic connectivity 2) task-based connectivity, and 3) structural covariance, as complementary windows into structural and functional differentiation of the hippocampus. Strikingly, while functional properties (i.e., intrinsic and task-based) revealed similar partitions dominated by an anterior-posterior organization, structural covariance exhibited a hybrid pattern reflecting both functional and cytoarchitectonic subdivision. Capitalizing on the consistency of functional parcellations, we defined robust functional maps at different levels of partitions, which are openly available for the scientific community. Our functional maps demonstrated a head-body and tail partition, subdivided along the anterior-posterior and medial-lateral axis. Behavioral profiling of these fine partitions based on activation data indicated an emotion-cognition gradient along the anterior-posterior axis and additionally suggested a self-world-centric gradient supporting the role of the hippocampus in the construction of abstract representations for spatial navigation and episodic memory.

摘要

海马体显示出复杂的组织和功能,在许多神经病理学中受到干扰。组织学工作揭示了沿着内侧-外侧和腹侧-背侧维度的复杂亚区排列,这与前后功能分化形成对比。各种图谱的出现提出了对综合多模态观点的需求。我们应用基于连接性的分割方法,包括 1)内在连接性、2)任务相关连接性和 3)结构协方差,作为对海马体结构和功能分化的互补窗口。引人注目的是,虽然功能特性(即内在和基于任务的)揭示了相似的分区,主要由前后组织主导,但结构协方差表现出一种混合模式,反映了功能和细胞构筑的细分。利用功能分区的一致性,我们在不同的分区水平定义了稳健的功能图谱,这些图谱可供科学界公开使用。我们的功能图谱显示了头部-身体和尾部分区,沿着前后和内侧-外侧轴细分。基于激活数据对这些精细分区的行为分析表明,在前-后轴上存在一个情感-认知梯度,此外还表明存在一个以自我为中心的世界梯度,支持海马体在构建空间导航和情景记忆的抽象表示中的作用。

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