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

• Main Authors: Adeline Su Lyn Ng, Juan Wang, Kwun Kei Ng, Joanna Su Xian Chong, Xing Qian, Joseph Kai Wei Lim, Yi Jayne Tan, Alisa Cui Wen Yong, Russell Jude Chander, Shahul Hameed, Simon Kang Seng Ting, Nagaendran Kandiah, Juan Helen Zhou
• Format: Article
• Language: English
• Published: BMC 2021-01-01
• Series: Alzheimer’s Research & Therapy
• Subjects: Alzheimer’s disease (AD); Behavioral variant frontotemporal dementia (bvFTD); Higher-order cognitive networks; Network distinctiveness; Network segregation and integration
• Online Access: https://doi.org/10.1186/s13195-020-00752-w

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.