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在情景记忆任务中,功能网络的动态重新配置可预测记忆表现。

The dynamic reconfiguration of the functional network during episodic memory task predicts the memory performance.

机构信息

Department of Police Command and Tactics, Shanxi Police College, Taiyuan, China.

College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, China.

出版信息

Sci Rep. 2024 Sep 4;14(1):20527. doi: 10.1038/s41598-024-71295-5.

DOI:10.1038/s41598-024-71295-5
PMID:39227732
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11372097/
Abstract

Episodic memory is essential for forming and retaining personal experiences, representing a fundamental aspect of human cognition. Traditional studies of episodic memory have typically used static analysis methods, viewing the brain as an unchanging entity and overlooking its dynamic properties over time. In this study, we utilized dynamic functional connectivity analysis on fMRI data from healthy adults performing an episodic memory task. We quantified integration and recruitment metrics and examined their correlation with memory performance using Pearson correlation. During encoding, integration across the entire brain, especially within the frontoparietal subnetwork, was significantly correlated with memory performance. During retrieval, recruitment becomes significantly associated with memory performance in visual subnetwork, somatomotor subnetwork, and ventral attention subnetwork. At the nodal level, a significant negative correlation was observed between memory scores and integration of the anterior cingulate gyrus, precentral gyrus, and inferior frontal gyrus within the frontoparietal network during encoding task. During retrieval task, a significant negative correlation was found between memory scores and recruitment in the left progranular cortex and right transverse gyral ventral, whereas positive correlations were seen in the right posterior inferior temporal, left middle temporal, right frontal operculum, and left operculum nodes. Moreover, the dynamic reconfiguration of the functional network was predictive of predict memory performance, as demonstrated by a significant correlation between actual and predicted memory scores. These findings advance our understanding network mechanisms underlying memory processes and developing intervention approaches for memory-related disorders as they shed light on critical factors involved in cognitive processes and provide a deeper understanding of the underlying mechanisms driving cognitive function.

摘要

情景记忆对于形成和保留个人经历至关重要,是人类认知的一个基本方面。传统的情景记忆研究通常使用静态分析方法,将大脑视为不变的实体,忽略了其随时间的动态特性。在这项研究中,我们使用功能磁共振成像 (fMRI) 数据对健康成年人进行情景记忆任务时的动态功能连接进行了分析。我们量化了整合和招募指标,并使用 Pearson 相关分析研究了它们与记忆表现的相关性。在编码过程中,整个大脑的整合,特别是在额顶网络内,与记忆表现显著相关。在检索过程中,招募与视觉网络、躯体运动网络和腹侧注意网络的记忆表现显著相关。在节点水平上,在编码任务中,我们观察到记忆评分与额顶网络中前扣带回、中央前回和额下回的整合之间存在显著的负相关。在检索任务中,我们发现记忆评分与左颗粒皮质和右横回腹侧的招募之间存在显著的负相关,而与右后颞叶、左中颞叶、右额盖和左盖的招募之间存在显著的正相关。此外,功能网络的动态重新配置可以预测记忆表现,实际记忆得分与预测记忆得分之间存在显著相关性。这些发现推进了我们对记忆过程中网络机制的理解,并为记忆相关障碍的干预方法提供了思路,因为它们揭示了认知过程中涉及的关键因素,并提供了对驱动认知功能的潜在机制的更深入理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a060/11372097/22426829c58e/41598_2024_71295_Fig7_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a060/11372097/22426829c58e/41598_2024_71295_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a060/11372097/0146b0a8f4b3/41598_2024_71295_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a060/11372097/c84f2f97f026/41598_2024_71295_Fig2_HTML.jpg
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