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From Hippocampus to Whole-Brain: The Role of Integrative Processing in Episodic Memory Retrieval

机译:从海马到全脑:一体化加工在整个内存检索中的作用

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Multivariate functional connectivity analyses of neuroimaging data have revealed the importance of complex, distributed interactions between disparate yet interdependent brain regions. Recent work has shown that topological properties of functional brain networks are associated with individual and group differences in cognitive performance, including in episodic memory. After constructing functional whole-brain networks derived from an event-related fMRI study of memory retrieval, we examined differences in functional brain network architecture between forgotten and remembered words. This study yielded three main findings. First, graph theory analyses showed that successfully remembering compared to forgetting was associated with significant changes in the connectivity profile of the left hippocampus and a corresponding increase in efficient communication with the rest of the brain. Second, bivariate functional connectivity analyses indicated stronger interactions between the left hippocampus and a retrieval assembly for remembered versus forgotten items. This assembly included the left precuneus, left caudate, bilateral supramarginal gyrus, and the bilateral dorsolateral superior frontal gyrus. Integrative properties of the retrieval assembly were greater for remembered than forgotten items. Third, whole-brain modularity analyses revealed that successful memory retrieval was marginally significantly associated with a less segregated modular architecture in the network. The magnitude of the decreases in modularity between remembered and forgotten conditions was related to memory performance. These findings indicate that increases in integrative properties at the nodal, retrieval assembly, and whole-brain topological levels facilitate memory retrieval, while also underscoring the potential of multivariate brain connectivity approaches for providing valuable new insights into the neural bases of memory processes. (C) 2017 Wiley Periodicals, Inc.
机译:神经影像数据的多变量功能连接分析揭示了不同但相互依存的脑区之间复杂,分布式相互作用的重要性。最近的工作表明,功能性脑网络的拓扑特性与个人和群体差异相关的认知性能,包括在脑内记忆中。在构建源自与内存检索的事件相关的FMRI研究中导出的功能全脑网络之后,我们在遗忘和记忆词之间检查了功能性脑网络架构的差异。本研究产生了三种主要研究结果。首先,图表理论分析表明,与遗忘相比成功记忆与左海马的连通性曲线的显着变化相关,以及与大脑其余部分有效通信的相应增加。其次,双方功能连接分析表明左海马之间的相互较强的相互作用和记忆与被遗忘的物品的检索组件。该组件包括左翼前叶,留下尾状,双侧穗状胬肉,和双侧背侧的高级额相回归。比被遗忘的物品记住,检索组件的综合性质更大。第三,全脑模块化分析显示,成功的内存检索与网络中的较少分离的模块架构有着较小的显着相关。记住和遗忘条件之间模块化的减小的幅度与内存性能有关。这些发现表明,节点,检索组件和全脑拓扑水平的综合性质增加​​了促进了记忆检索,同时强调了多元脑连接方法的潜力,用于为内存过程的神经基础提供有价值的新见解。 (c)2017 Wiley期刊,Inc。

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