Department of Imaging Sciences, University of Rochester Medical Center, 601 Elmwood Ave, Rochester, NY, 14642, USA.
Department of Biomedical Engineering, University of Rochester, Rochester, NY, 14627, USA.
Brain Imaging Behav. 2020 Dec;14(6):2488-2499. doi: 10.1007/s11682-019-00201-9.
Cumulative evidence suggests the existence of common processes underlying subjective experience of cognitive and physical fatigue. However, mechanistic understanding of the brain structural connections underlying the experience of fatigue in general, without the influence of clinical conditions, is limited. The purpose of the study was to examine the relationship between structural connectivity and perceived state fatigue in older adults. We enrolled cognitively and physically healthy older individuals (n = 52) and categorized them into three groups (low cognitive/low physical fatigue; low cognitive/high physical fatigue; high cognitive/low physical fatigue; no subjects had high cognitive/high physical fatigue) based on perceived fatigue from cognitive and physical fatigue manipulation tasks. Using sophisticated diffusion tensor imaging processing techniques, we extracted connectome matrices for six different characteristics of whole-brain structural connections for each subject. Tensor network principal component analysis was used to examine group differences in these connectome matrices, and extract principal brain networks for each group. Connected surface area of principal brain networks differentiated the two high fatigue groups from the low cognitive/physical fatigue group (high vs. low physical fatigue, p = 0.046; high vs. low cognitive fatigue, p = 0.036). Greater connected surface area within striatal-frontal-parietal networks was correlated with lower cognitive and physical fatigue, and was predictive of perceived physical and cognitive fatigue measures not used for group categorization (Pittsburgh fatigability physical subscale, R = 0.70, p < 0.0001; difference in self-report fatigue before and after gambling tasks, R = 0.54, p < 0.0001). There are potentially structural connectomes resilient to both cognitive and physical fatigue in older adults.
累积证据表明,认知和身体疲劳的主观体验存在共同的过程。然而,在没有临床条件影响的情况下,对疲劳体验的大脑结构连接的机制理解是有限的。本研究的目的是探讨结构连接与老年人疲劳感之间的关系。我们招募了认知和身体都健康的老年人(n=52),并根据认知和身体疲劳操作任务中的疲劳感将他们分为三组(低认知/低身体疲劳;低认知/高身体疲劳;高认知/低身体疲劳;没有受试者同时具有高认知/高身体疲劳)。使用复杂的弥散张量成像处理技术,我们为每个受试者提取了六个不同的全脑结构连接特征的连接组矩阵。张量网络主成分分析用于检查这些连接组矩阵的组间差异,并提取每个组的主要脑网络。主要脑网络的连接表面积将两个高疲劳组与低认知/身体疲劳组区分开来(高 vs. 低身体疲劳,p=0.046;高 vs. 低认知疲劳,p=0.036)。纹状体-额顶叶网络内更大的连接表面积与较低的认知和身体疲劳相关,并且可以预测未用于分组分类的认知和身体疲劳测量值(匹兹堡疲劳性物理子量表,R=0.70,p<0.0001;赌博任务前后自我报告疲劳差异,R=0.54,p<0.0001)。老年人中可能存在对认知和身体疲劳都有弹性的结构连接组。