Department of Neurology, National Neuroscience Institute, Tan Tock Seng Hospital, Singapore, Singapore.
Neuroscience and Behavioral Disorders Program, Duke-NUS Medical School, Singapore, Singapore.
Alzheimers Res Ther. 2021 Jan 6;13(1):13. doi: 10.1186/s13195-020-00752-w.
Alzheimer's disease (AD) and behavioral variant frontotemporal dementia (bvFTD) cause distinct atrophy and functional disruptions within two major intrinsic brain networks, namely the default network and the salience network, respectively. It remains unclear if inter-network relationships and whole-brain network topology are also altered and underpin cognitive and social-emotional functional deficits.
In total, 111 participants (50 AD, 14 bvFTD, and 47 age- and gender-matched healthy controls) underwent resting-state functional magnetic resonance imaging (fMRI) and neuropsychological assessments. Functional connectivity was derived among 144 brain regions of interest. Graph theoretical analysis was applied to characterize network integration, segregation, and module distinctiveness (degree centrality, nodal efficiency, within-module degree, and participation coefficient) in AD, bvFTD, and healthy participants. Group differences in graph theoretical measures and empirically derived network community structures, as well as the associations between these indices and cognitive performance and neuropsychiatric symptoms, were subject to general linear models, with age, gender, education, motion, and scanner type controlled.
Our results suggested that AD had lower integration in the default and control networks, while bvFTD exhibited disrupted integration in the salience network. Interestingly, AD and bvFTD had the highest and lowest degree of integration in the thalamus, respectively. Such divergence in topological aberration was recapitulated in network segregation and module distinctiveness loss, with AD showing poorer modular structure between the default and control networks, and bvFTD having more fragmented modules in the salience network and subcortical regions. Importantly, aberrations in network topology were related to worse attention deficits and greater severity in neuropsychiatric symptoms across syndromes.
Our findings underscore the reciprocal relationships between the default, control, and salience networks that may account for the cognitive decline and neuropsychiatric symptoms in dementia.
阿尔茨海默病(AD)和行为变异额颞叶痴呆(bvFTD)分别导致两个主要内在脑网络——默认网络和突显网络——的明显萎缩和功能障碍。目前尚不清楚网络间的关系和全脑网络拓扑结构是否也发生了改变,并对认知和社会情感功能缺陷起到了支撑作用。
共有 111 名参与者(50 名 AD、14 名 bvFTD 和 47 名年龄和性别匹配的健康对照者)接受了静息状态功能磁共振成像(fMRI)和神经心理学评估。从 144 个感兴趣的脑区中得出功能连接。图论分析用于描述 AD、bvFTD 和健康参与者的网络整合、分离和模块独特性(度中心性、节点效率、模块内度和参与系数)。使用一般线性模型对这些指数与认知表现和神经精神症状之间的关系进行了研究,其中控制了年龄、性别、教育、运动和扫描仪类型。
我们的结果表明,AD 在默认网络和控制网络中的整合度较低,而 bvFTD 则表现出突显网络整合度的破坏。有趣的是,AD 和 bvFTD 的丘脑整合度最高和最低。这种拓扑异常的发散在网络分离和模块独特性丧失中得到了重现,AD 在默认和控制网络之间表现出较差的模块化结构,而 bvFTD 在突显网络和皮质下区域具有更多碎片化的模块。重要的是,网络拓扑结构的异常与两种综合征的注意力缺陷和神经精神症状的严重程度有关。
我们的发现强调了默认网络、控制网络和突显网络之间的相互关系,这可能解释了痴呆症患者的认知下降和神经精神症状。