Columbia University.
University of North Carolina at Chapel Hill.
J Cogn Neurosci. 2019 Apr;31(4):607-622. doi: 10.1162/jocn_a_01368. Epub 2019 Jan 3.
Research on the cognitive neuroscience of aging has identified myriad neurocognitive processes that are affected by the aging process, with a focus on identifying neural correlates of cognitive function in aging. This study aimed to test whether internetwork connectivity among six cognitive networks is sensitive to age-related changes in neural efficiency and cognitive functioning. A factor analytic connectivity approach was used to model network interactions during 11 cognitive tasks grouped into four primary cognitive domains: vocabulary, perceptual speed, fluid reasoning, and episodic memory. Results showed that both age and task domain were related to internetwork connectivity and that some of the connections among the networks were associated with performance on the in-scanner tasks. These findings demonstrate that internetwork connectivity among several cognitive networks is not only affected by aging and task demands but also shows a relationship with task performance. As such, future studies examining internetwork connectivity in aging should consider multiple networks and multiple task conditions to better measure dynamic patterns of network flexibility over the course of cognitive aging.
衰老的认知神经科学研究已经确定了无数受到衰老过程影响的神经认知过程,重点是确定衰老过程中认知功能的神经相关性。本研究旨在测试六个认知网络之间的网络间连通性是否对神经效率和认知功能的年龄相关变化敏感。采用因子分析连通性方法来模拟在 11 个认知任务中分组到四个主要认知领域的网络交互:词汇、知觉速度、流体推理和情景记忆。结果表明,年龄和任务领域都与网络间连通性有关,并且网络之间的一些连接与扫描过程中的任务表现有关。这些发现表明,几个认知网络之间的网络间连通性不仅受到衰老和任务需求的影响,而且与任务表现有关。因此,未来研究在考察衰老中的网络间连通性时,应考虑多个网络和多个任务条件,以更好地测量认知衰老过程中网络灵活性的动态模式。