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

Autor: Xing Qian, Alisa Cui Wen Yong, Russell J. Chander, Joanna Su Xian Chong, Shahul Hameed, Adeline Su Lyn Ng, Yi Jayne Tan, Simon Kang Seng Ting, Juan Wang, Nagaendran Kandiah, Kwun Kei Ng, Juan Helen Zhou, Joseph Lim
Rok vydání: 2021
Předmět:
0301 basic medicine
Cognitive Neuroscience
Network segregation and integration
Alzheimer’s disease (AD)
Neuropsychological Tests
lcsh:RC346-429
lcsh:RC321-571
Behavioral variant frontotemporal dementia (bvFTD)
03 medical and health sciences
0302 clinical medicine
Alzheimer Disease
Salience (neuroscience)
medicine
Humans
Dementia
Cognitive decline
lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry
lcsh:Neurology. Diseases of the nervous system
Default mode network
Brain Mapping
medicine.diagnostic_test
Research
Neuropsychology
Brain
Higher-order cognitive networks
Network distinctiveness
Cognition
medicine.disease
Magnetic Resonance Imaging
030104 developmental biology
Neurology
Frontotemporal Dementia
Neurology (clinical)
Psychology
Functional magnetic resonance imaging
Neuroscience
030217 neurology & neurosurgery
Frontotemporal dementia
Zdroj: Alzheimer’s Research & Therapy, Vol 13, Iss 1, Pp 1-16 (2021)
Alzheimer's Research & Therapy
ISSN: 1758-9193
DOI: 10.1186/s13195-020-00752-w
Popis: 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.
Databáze: OpenAIRE
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