The study of functional connectivity and declarative memory has lately been focused on finding biomarkers of neuropsychological diseases. However, little is known about its patterns in healthy brains. Thus, in this systematic review we analyze and integrate the findings of 81 publications regarding functional connectivity (measured by fMRI during both task and resting-state) and semantic and episodic memory in healthy adults. Moreover, we discriminate and analyze the main areas and links found in specific memory phases (encoding, storage or retrieval) based on several criteria, such as time length, depth of processing, rewarding value of the information, vividness and amount or kind of details retrieved. There is a certain degree of overlap between the networks of episodic and semantic memory and between the encoding and retrieval stages. Although several differences are pointed out during the article, this calls to attention the need for further empirical studies that actively compare both types of memory, particularly using other baseline conditions apart from the traditional resting state. Indeed, the active involvement of the default mode network in both declarative memory and resting condition suggests the possibility that during rest there is an on-going memory processing. We find support for the ‘attention to memory’ hypothesis, the memory differentiation model and the appropriate transfer hypothesis, but some evidence is inconsistent with the traditional hub-and-spoke model.

中文翻译：

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对涉及情景和语义记忆的大脑功能连接模式的系统评价

功能连接性和陈述性记忆的研究最近集中在寻找神经心理疾病的生物标志物上。然而，人们对其在健康大脑中的模式知之甚少。因此，在本系统评价中，我们分析并整合了 81 篇关于健康成人功能连接性（在任务和静息状态下通过 fMRI 测量）以及语义和情景记忆的研究结果。此外，我们根据时间长度、处理深度、信息的奖励价值、生动性以及细节的数量或种类等几个标准来区分和分析在特定记忆阶段（编码、存储或检索）中发现的主要区域和链接取回。情节记忆网络和语义记忆网络之间以及编码和检索阶段之间存在一定程度的重叠。尽管在文章中指出了一些差异，但这提醒人们需要进一步的实证研究，积极比较两种类型的记忆，特别是使用除传统静息状态之外的其他基线条件。事实上，默认模式网络在陈述性记忆和静息状态中的积极参与表明，在静息期间存在持续的记忆处理的可能性。我们发现支持“注意记忆”假设、记忆分化模型和适当的转移假设，但一些证据与传统的轮辐模型不一致。特别是使用除传统静息状态之外的其他基线条件。事实上，默认模式网络在陈述性记忆和静息状态中的积极参与表明，在静息期间存在持续的记忆处理的可能性。我们发现支持“注意记忆”假设、记忆分化模型和适当的转移假设，但一些证据与传统的轮辐模型不一致。特别是使用除传统静息状态之外的其他基线条件。事实上，默认模式网络在陈述性记忆和静息状态中的积极参与表明，在静息期间存在持续的记忆处理的可能性。我们发现支持“注意记忆”假设、记忆分化模型和适当的转移假设，但一些证据与传统的轮辐模型不一致。