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Title: Distinct network topology in Alzheimer’s disease and behavioral variant frontotemporal dementia
Authors: Ng, Adeline Su Lyn 
Wang, Juan 
Ng, Kwun Kei 
Chong, Joanna Su Xian 
Qian, Xing 
Lim, Joseph Kai Wei 
Tan, Yi Jayne 
Yong, Alisa Cui Wen
Chander, Russell Jude
Hameed, Shahul 
Ting, Simon Kang Seng 
Kandiah, Nagaendran 
Zhou, Juan Helen 
Keywords: Alzheimer’s disease (AD)
Behavioral variant frontotemporal dementia (bvFTD)
Higher-order cognitive networks
Network distinctiveness
Network segregation and integration
Issue Date: 6-Jan-2021
Publisher: BioMed Central Ltd
Citation: Ng, Adeline Su Lyn, Wang, Juan, Ng, Kwun Kei, Chong, Joanna Su Xian, Qian, Xing, Lim, Joseph Kai Wei, Tan, Yi Jayne, Yong, Alisa Cui Wen, Chander, Russell Jude, Hameed, Shahul, Ting, Simon Kang Seng, Kandiah, Nagaendran, Zhou, Juan Helen (2021-01-06). Distinct network topology in Alzheimer’s disease and behavioral variant frontotemporal dementia. Alzheimer's Research and Therapy 13 (1) : 13. ScholarBank@NUS Repository.
Rights: Attribution 4.0 International
Abstract: 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. © 2021, The Author(s).
Source Title: Alzheimer's Research and Therapy
ISSN: 1758-9193
DOI: 10.1186/s13195-020-00752-w
Rights: Attribution 4.0 International
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