Functional connectivity of the hippocampus and its subfields in resting-state networks.

Functional connectivity of the hippocampus and its subfields in resting-state networks.
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DOI:
10.1111/ejn.15213
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发表时间:
2021-05
期刊:
The European journal of neuroscience
影响因子:
--
通讯作者:
Janssen N
Janssen N
中科院分区:
其他
文献类型:
--
作者:
Ezama L;Hernández-Cabrera JA;Seoane S;Pereda E;Janssen N

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许多神经影像学研究表明,海马体参与了一个被称为默认模式网络的静息状态网络。然而,海马体如何连接到默认模式网络,海马体是否连接到其他静息态网络以及不同的海马体子场如何参与静息态网络仍然知之甚少。在这里,我们使用来自人类连接组项目的高空间分辨率7T静息态fMRI数据集来研究这些问题。我们使用了数据驱动技术,这些技术依赖于空间受限的独立成分分析、双回归和基于参与者特定脑形态的线性混合效应组分析。结果揭示了海马体内部的两个主要活动热点。第一个热点位于前部位置,与躯体运动网络相关。该网络受到CA1、CA3、CA4和齿状回区域的共同活动的影响。此外,有一个活动热点,从中间位置延伸到后部沿着海马长轴和相关的默认模式网络。该网络反映了下托,CA4和齿状回领域的活动。这些结果显示了海马的不同部分如何参与两个已知的静息状态网络,以及这两个静息状态网络如何取决于海马子区协同活动的不同配置。
Many neuroimaging studies have shown that the hippocampus participates in a resting‐state network called the default mode network. However, how the hippocampus connects to the default mode network, whether the hippocampus connects to other resting‐state networks and how the different hippocampal subfields take part in resting‐state networks remains poorly understood. Here, we examined these issues using the high spatial‐resolution 7T resting‐state fMRI dataset from the Human Connectome Project. We used data‐driven techniques that relied on spatially‐restricted Independent Component Analysis, Dual Regression and linear mixed‐effect group‐analyses based on participant‐specific brain morphology. The results revealed two main activity hotspots inside the hippocampus. The first hotspot was located in an anterior location and was correlated with the somatomotor network. This network was subserved by co‐activity in the CA1, CA3, CA4 and Dentate Gyrus fields. In addition, there was an activity hotspot that extended from middle to posterior locations along the hippocampal long‐axis and correlated with the default mode network. This network reflected activity in the Subiculum, CA4 and Dentate Gyrus fields. These results show how different sections of the hippocampus participate in two known resting‐state networks and how these two resting‐state networks depend on different configurations of hippocampal subfield co‐activity.
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