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Stronger Functional Connectivity in the Default Mode and Salience Networks Is Associated With Youthful Memory in Superaging

机译:在默认模式和显着网络中的功能强大的功能连接与上升中的年轻内存相关联

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"Superagers" are older adults who, despite their advanced age, maintain youthful memory. Previous morphometry studies revealed multiple default mode network (DMN) and salience network (SN) regions whose cortical thickness is greater in superagers and correlates with memory performance. In this study, we examined the intrinsic functional connectivity within DMN and SN in 41 young (24.5 +/- 3.6 years old) and 40 older adults (66.9 +/- 5.5 years old). Superaging was defined as youthful performance on a memory recall task, the California Verbal Learning Test (CVLT). Participants underwent a resting-state functional magnetic resonance imaging (fMRI) scan and performed a separate visual-verbal recognition memory task. As predicted, within both DMN and SN, superagers had stronger connectivity compared with typical older adults and similar connectivity compared with young adults. Superagers also performed similarly to young adults and better than typical older adults on the recognition task, demonstrating youthful episodic memory that generalized across memory tasks. Stronger connectivity within each network independently predicted better performance on both the CVLT and recognition task in older adults. Variation in intrinsic connectivity explained unique variance in memory performance, above and beyond youthful neuroanatomy. These results extend our understanding of the neural basis of superaging as a model of successful aging.
机译:“超级器”是老年人,尽管他们的年龄高,但保持了年轻的记忆。以前的形态测量研究显示了多个默认模式网络(DMN)和显着网络(SN)区域,其皮质厚度在渗透器中更大,与内存性能相关。在这项研究中,我们在41名年轻(24.5 +/- 3.6岁)和40名老年人(66.9 +/- 5.5岁)中检测了DMN和SN内的内在功能连通性。上床被定义为内存召回任务的年轻性能,加州口头学习测试(CVLT)。参与者经历了休息状态功能磁共振成像(FMRI)扫描并执行了单独的视觉语言识别存储器任务。如预测,在DMN和SN中,与典型的老年人相比,高层的连通性与典型的老年人相比,与年轻成年人相比。超级器也与年轻人同样地表演,比识别任务上的典型老年人更好,展示了在内存任务中广泛化的年轻张影像集。每个网络内的强大连接独立地预测了老年人CVLT和识别任务的更好性能。内在连通性的变化解释了内存性能的独特方差,高于年轻的神经肿瘤。这些结果使我们对所以上涨的神经基础的理解,作为成功衰老的模型。

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