Department of Psychology, University of Illinois at Urbana Champaign, Urbana, IL, United States of America.
Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana Champaign, Urbana, IL, United States of America.
PLoS One. 2018 Sep 21;13(9):e0204280. doi: 10.1371/journal.pone.0204280. eCollection 2018.
Age and cortical structure are both associated with cognition, but characterizing this relationship remains a challenge. A popular approach is to use functional network organization of the cortex as an organizing principle for post-hoc interpretations of structural results. In the current study, we introduce two complimentary approaches to structural analyses that are guided by a-priori functional network maps. Specifically, we systematically investigated the relationship of cortical structure (thickness and surface area) of distinct functional networks to two cognitive domains sensitive to age-related decline thought to rely on both common and distinct processes (executive function and episodic memory) in older adults. We quantified the cortical structure of individual functional network's predictive ability and spatial extent (i.e., number of significant regions) with cognition and its mediating role in the age-cognition relationship. We found that cortical thickness, rather than surface area, predicted cognition across the majority of functional networks. The default mode and somatomotor network emerged as particularly important as they appeared to be the only two networks to mediate the age-cognition relationship for both cognitive domains. In contrast, thickness of the salience network predicted executive function and mediated the age-cognition relationship for executive function. These relationships remained significant even after accounting for global cortical thickness. Quantifying the number of regions related to cognition and mediating the age-cognition relationship yielded similar patterns of results. This study provides a potential approach to organize and describe the apparent widespread regional cortical structural relationships with cognition and age in older adults.
年龄和皮质结构都与认知有关,但描述这种关系仍然是一个挑战。一种流行的方法是使用皮质的功能网络组织作为对结构结果进行事后解释的组织原则。在当前的研究中,我们引入了两种结构分析方法,这些方法是由功能网络图谱的先验知识指导的。具体来说,我们系统地研究了不同功能网络的皮质结构(厚度和表面积)与两个认知领域的关系,这两个认知领域被认为依赖于老年人中共同和不同的过程(执行功能和情景记忆)。我们量化了个体功能网络的皮质结构与认知的预测能力和空间范围(即显著区域的数量)及其在年龄与认知关系中的中介作用。我们发现,皮质厚度而不是表面积可以预测大多数功能网络的认知。默认模式和躯体运动网络尤为重要,因为它们似乎是唯一两个可以为两个认知领域的年龄与认知关系提供中介的网络。相比之下,突显网络的厚度可以预测执行功能,并为执行功能的年龄与认知关系提供中介。即使考虑到全脑皮质厚度,这些关系仍然具有统计学意义。量化与认知相关并介导年龄与认知关系的区域数量,得出了类似的结果模式。这项研究为组织和描述老年人认知和年龄的皮质结构的普遍关系提供了一种潜在的方法。