Bernier Rachel Anne, Roy Arnab, Venkatesan Umesh Meyyappan, Grossner Emily C, Brenner Einat K, Hillary Frank Gerard
Department of Psychology, Pennsylvania State University, University Park, PA, United States.
Social Life and Engineering Sciences Imaging Center, University Park, PA, United States.
Front Neurol. 2017 Jul 17;8:297. doi: 10.3389/fneur.2017.00297. eCollection 2017.
Changes in functional network connectivity following traumatic brain injury (TBI) have received increasing attention in recent neuroimaging literature. This study sought to understand how disrupted systems adapt to injury during resting and goal-directed brain states. Hyperconnectivity has been a common finding, and dedifferentiation (or loss of segregation of networks) is one possible explanation for this finding. We hypothesized that individuals with TBI would show dedifferentiation of networks (as noted in other clinical populations) and these effects would be associated with cognitive dysfunction.
Graph theory was implemented to examine functional connectivity during periods of task and rest in 19 individuals with moderate/severe TBI and 14 healthy controls (HCs). Using a functional brain atlas derived from 83 functional imaging studies, graph theory was used to examine network dynamics and determine whether dedifferentiation accounts for changes in connectivity. Regions of interest were assigned to one of three groups: task-positive, default mode, or other networks. Relationships between these metrics were then compared with performance on neuropsychological tests.
Hyperconnectivity in TBI was most commonly observed as increased within-network connectivity. Network strengths within networks that showed differences between TBI and HCs were correlated with performance on five neuropsychological tests typically sensitive to deficits commonly reported in TBI. Hyperconnectivity within the default mode network (DMN) during task was associated with better performance on Digit Span Backward, a measure of working memory [(18) = 0.28, = 0.02]. In other words, increased differentiation of networks during task was associated with better working memory. Hyperconnectivity within the task-positive network during rest was not associated with behavior. Negative correlation weights were not associated with behavior.
The primary hypothesis that hyperconnectivity occurs through dedifferentiation was not supported. [corrected]. Instead, enhanced connectivity post injury was observed within network. Results suggest that the relationship between increased connectivity and cognitive functioning may be both state (rest or task) and network dependent. High-cost network hubs were identical for both rest and task, and cost was negatively associated with performance on measures of psychomotor speed and set-shifting.
创伤性脑损伤(TBI)后功能网络连接的变化在最近的神经影像学文献中受到越来越多的关注。本研究旨在了解在静息和目标导向的脑状态下,受损系统如何适应损伤。超连接性是一个常见的发现,去分化(或网络分离的丧失)是这一发现的一种可能解释。我们假设,TBI个体将表现出网络去分化(如在其他临床人群中所观察到的),并且这些效应将与认知功能障碍相关。
采用图论来检查19名中度/重度TBI个体和14名健康对照(HCs)在任务和休息期间的功能连接。使用从83项功能成像研究中得出的功能性脑图谱,图论被用于检查网络动态,并确定去分化是否解释了连接性的变化。感兴趣区域被分配到三个组之一:任务阳性、默认模式或其他网络。然后将这些指标之间的关系与神经心理学测试的表现进行比较。
TBI中的超连接性最常表现为网络内连接性增加。在TBI和HCs之间表现出差异的网络内的网络强度与通常对TBI中常见缺陷敏感的五项神经心理学测试的表现相关。任务期间默认模式网络(DMN)内的超连接性与数字广度倒序测试(一种工作记忆测量)的更好表现相关[(18) = 0.28, = 0.02]。换句话说,任务期间网络分化增加与更好的工作记忆相关。休息期间任务阳性网络内的超连接性与行为无关。负相关权重与行为无关。
超连接性通过去分化发生的主要假设未得到支持。[已修正]。相反,损伤后网络内观察到连接性增强。结果表明,连接性增加与认知功能之间的关系可能既取决于状态(休息或任务),也取决于网络。静息和任务状态下的高成本网络枢纽是相同的,并且成本与精神运动速度和定势转换测量的表现呈负相关。