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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:整合过程在情节记忆检索中的作用。

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摘要

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.
机译:对神经影像数据进行多变量功能连通性分析,揭示了相异但相互依存的大脑区域之间复杂,分散的相互作用的重要性。最近的研究表明,功能性大脑网络的拓扑特性与认知表现的个体和群体差异有关,包括情节性记忆。在构建了从事件相关的功能磁共振成像研究记忆检索得出的功能性全脑网络之后,我们检查了被遗忘和记忆的单词在功能性大脑网络结构上的差异。这项研究得出了三个主要发现。首先,图论分析表明,与遗忘相比,成功记忆与左海马体连接性的显着变化以及与大脑其他部位的有效交流相应增加有关。其次,双变量功能连接分析表明,左海马体与记忆和遗忘物品检索组件之间的相互作用更强。该集合包括左前突,左尾状,双侧上颌上回和双侧背外侧上额回。对于被记住的物品,与遗忘的物品相比,取回组件的综合性能更高。第三,全脑模块化分析表明,成功的内存检索与网络中隔离程度较低的模块化体系结构显着相关。记忆条件和遗忘条件之间模块性下降的幅度与内存性能有关。这些发现表明,在节点,检索集和全脑拓扑级别的整合特性的增加有利于记忆检索,同时也强调了多变量大脑连接方法的潜力,可为记忆过程的神经基础提供有价值的新见解。

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