Brain networks predicting variability in episodic memory quality

预测情景记忆质量变异性的大脑网络

• 批准号: 10445896
• 负责人: Maureen Ritchey
• 金额: $ 27.99万
• 依托单位: BOSTON COLLEGE
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-01 至 2026-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10445896
• 关键词: Area; Behavioral; Binding; Brain; Brain region; Cognitive; Communication; Complex; Dorsal; Episodic memory; Event; Exhibits; Experimental Designs; Functional Magnetic Resonance Imaging; Goals; Hippocampus (Brain); Individual; Individual Differences; Investigation; Lateral; Link; Measures; Medial; Memory; Mental disorders; Modeling; Mood Disorders; Parietal; Parietal Lobe; Pathway interactions; Pattern; Performance; Persons; Process; Research; Retrieval; Role; Specificity; Structure; Techniques; Testing; Transcranial magnetic stimulation; Work; analytical method; base; design; improved; mental representation; nervous system disorder; novel; recruit

Project Summary Episodic memory involves the construction of a complex mental representation that includes key features of an event (i.e., its people, objects, and places) and their relationships with one another. This process has been reliably associated with activity in a core network of posterior medial (PM) brain regions, including areas in medial temporal, medial parietal, and lateral parietal cortex. Yet much remains unknown about how these brain regions contribute to the specificity with which distinct event features are bound and recalled. Past investigations of memory specificity have largely focused on the contributions of individual brain regions, such as the hippocampus and lateral parietal cortex. However, recent evidence suggests that memory specificity may be explained, in part, by functional interactions among brain regions, including those in the PM network. The overarching goal of this proposal is to investigate the brain network interactions predicting the multidimensional quality of episodic memory, focusing on how distinct event features are bound into memory and the specificity with which they are represented. Our central hypothesis is that there are separable pathways through the PM network that maintain the general relational structure and specific details of an event, and that these pathways must interact to embed specific details into event memories. We will test this hypothesis by leveraging the complementary strengths of functional magnetic resonance imaging (fMRI), transcranial magnetic stimulation (TMS), and cognitive experimental design. First, we will examine variability in memory binding and specificity across events, using analytic methods to predict memory quality based on brain network interactions during encoding and retrieval (Aim 1). Second, we will test the causal role of PM network interactions in episodic memory, using a combined TMS and fMRI design to identify post-stimulation network changes and their impact on memory quality (Aim 2). Finally, we will investigate individual differences in episodic memory quality, testing whether they can be explained by differences in PM network recruitment and organization (Aim 3). The proposed research advances a novel framework for understanding the interactive pathways supporting episodic memory, with the potential to significantly transform our understanding of the brain mechanisms supporting memory for complex events. Furthermore, by building a model linking episodic memory quality to specific patterns of network activity and communication, we will be better equipped to understand the mechanisms underlying changes in memory binding and specificity often associated with psychiatric and neurological disorders.

项目摘要 情节记忆涉及复杂的心理表征的构建，包括一个人的关键特征。 事件（即，人与人之间的关系，人与人之间的关系。这个进程已经 可靠地与后内侧（PM）大脑区域的核心网络中的活动相关，包括 内侧颞叶、内侧顶叶和外侧顶叶皮质。然而，关于这些大脑是如何运作的， 区域有助于结合和回忆不同事件特征的特异性。过去 对记忆特异性的研究主要集中在单个大脑区域的贡献上， 海马体和侧顶叶皮层。然而，最近的证据表明，记忆特异性 可以部分解释为大脑区域之间的功能相互作用，包括PM网络中的那些区域。 这项提议的首要目标是研究大脑网络的相互作用， 情景记忆的多维质量，关注不同的事件特征如何绑定到记忆中 以及它们所代表的特殊性。我们的中心假设是， 通过PM网络的路径，维护一般的关系结构和特定的细节， 这些通路必须相互作用，将特定的细节嵌入事件记忆。我们将测试这个 通过利用功能性磁共振成像（fMRI）的互补优势， 经颅磁刺激（TMS）和认知实验设计。首先，我们将研究 跨事件的记忆绑定和特异性，使用分析方法预测记忆质量， 编码和提取过程中的大脑网络相互作用（目标1）。第二，我们将检验PM的因果作用 情景记忆中的网络相互作用，使用组合TMS和fMRI设计来识别刺激后 网络变化及其对记忆质量的影响（目标2）。最后，我们将研究个体差异 情景记忆质量，测试它们是否可以通过PM网络招聘的差异来解释 组织（目标3）。这项研究提出了一个新的框架， 支持情景记忆的互动途径，有可能显着改变我们的 理解支持复杂事件记忆的大脑机制。此外，通过建立一个 将情景记忆质量与特定的网络活动和通信模式联系起来的模型，我们将 更好地了解记忆结合和特异性变化的潜在机制， 与精神和神经疾病有关。