Distinct network topology in Alzheimer's disease and behavioral variant frontotemporal dementia

被引:33
|
作者
Ng, Adeline Su Lyn [1 ,2 ]
Wang, Juan [3 ]
Ng, Kwun Kei [3 ]
Chong, Joanna Su Xian [3 ]
Qian, Xing [3 ]
Lim, Joseph Kai Wei [3 ]
Tan, Yi Jayne [1 ,2 ]
Yong, Alisa Cui Wen [1 ]
Chander, Russell Jude [1 ]
Hameed, Shahul [2 ,4 ]
Ting, Simon Kang Seng [2 ,4 ]
Kandiah, Nagaendran [1 ,2 ]
Zhou, Juan Helen [2 ,3 ,5 ]
机构
[1] Tan Tock Seng Hosp, Natl Neurosci Inst, Dept Neurol, Singapore, Singapore
[2] Duke NUS Med Sch, Neurosci & Behav Disorders Program, Singapore, Singapore
[3] Natl Univ Singapore, Ctr Sleep & Cognit, Yong Loo Lin Sch Med, Dept Med, Singapore, Singapore
[4] Singapore Gen Hosp, Natl Neurosci Inst, Dept Neurol, Singapore, Singapore
[5] Natl Univ Singapore, Ctr Translat Magnet Resonance Res, Yong Loo Lin Sch Med, Singapore, Singapore
基金
英国医学研究理事会;
关键词
Alzheimer's disease (AD); Behavioral variant frontotemporal dementia (bvFTD); Higher-order cognitive networks; Network distinctiveness; Network segregation and integration; DEFAULT-MODE NETWORK; STATE FUNCTIONAL CONNECTIVITY; ANTERIOR CINGULATE CORTEX; BRAIN NETWORKS; MENTAL STATE; GRAPH-THEORY; MEMORY; MRI; PARCELLATION; PATTERNS;
D O I
10.1186/s13195-020-00752-w
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background 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. Methods 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. Results 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. Conclusions 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.
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页数:16
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