Kurkela Kyle, Ritchey Maureen
Department of Psychology and Neuroscience, Boston College, Chestnut Hill, MA, United States.
Imaging Neurosci (Camb). 2024 May 20;2. doi: 10.1162/imag_a_00169. eCollection 2024.
Individuals differ greatly in their ability to remember the details of past events, yet little is known about the brain processes that explain such individual differences in a healthy young population. Previous research suggests that episodic memory relies on functional communication among ventral regions of the default mode network ("DMN-C") that are strongly interconnected with the medial temporal lobes. In this study, we investigated whether the intrinsic functional connectivity of the DMN-C subnetwork is related to individual differences in memory ability, examining this relationship across 243 individuals (ages 18-50 years) from the openly available Cambridge Center for Aging and Neuroscience (Cam-CAN) dataset. We first estimated each participant's whole-brain intrinsic functional brain connectivity by combining data from resting-state, movie-watching, and sensorimotor task scans to increase statistical power. We then examined whether intrinsic functional connectivity predicted performance on a narrative recall task. We found no evidence that functional connectivity of the DMN-C, with itself, with other related DMN subnetworks, or with the rest of the brain, was related to narrative recall. Exploratory connectome-based predictive modeling (CBPM) analyses of the entire connectome revealed a whole-brain multivariate pattern that predicted performance, although these changes were largely outside of known memory networks. These results add to emerging evidence suggesting that individual differences in memory cannot be easily explained by brain differences in areas typically associated with episodic memory function.
个体在记忆过去事件细节的能力上存在很大差异,但对于能够解释健康年轻人群中这种个体差异的大脑过程却知之甚少。先前的研究表明,情景记忆依赖于默认模式网络腹侧区域(“DMN-C”)之间的功能通信,这些区域与内侧颞叶紧密相连。在本研究中,我们调查了DMN-C子网的内在功能连接是否与记忆能力的个体差异相关,并通过公开可用的剑桥衰老与神经科学中心(Cam-CAN)数据集,对243名个体(年龄在18至50岁之间)进行了这种关系的研究。我们首先通过结合静息状态、观看电影和感觉运动任务扫描的数据来估计每个参与者的全脑内在功能脑连接,以提高统计功效。然后,我们检查了内在功能连接是否能预测叙事回忆任务的表现。我们没有发现证据表明DMN-C自身、与其他相关的DMN子网或与大脑其他部分的功能连接与叙事回忆有关。对整个连接组进行的基于连接组的探索性预测建模(CBPM)分析揭示了一种预测表现的全脑多变量模式,尽管这些变化主要发生在已知记忆网络之外。这些结果进一步证明,记忆方面的个体差异难以通过通常与情景记忆功能相关的脑区差异来轻易解释。