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• W4200325343 endingPage "233" @default.
• W4200325343 startingPage "213" @default.
• W4200325343 abstract "Alzheimer's disease (AD) is a severe neurodegenerative disorder that affects a growing worldwide elderly population. Identification of brain functional biomarkers is expected to help determine preclinical stages for targeted mechanistic studies and development of therapeutic interventions to deter disease progression. Connectomic analysis, a graph theory-based methodology used in the analysis of brain-derived connectivity matrices was used in conjunction with percolation theory targeted attack model to investigate the network effects of AD-related amyloid deposition. We used matrices derived from resting-state functional magnetic resonance imaging collected on mice with extracellular amyloidosis (TgCRND8 mice, n = 17) and control littermates (n = 17). Global, nodal, spatial, and percolation-based analysis was performed comparing AD and control mice. These data indicate a short-term compensatory response to neurodegeneration in the AD brain via a strongly connected core network with highly vulnerable or disconnected hubs. Targeted attacks demonstrated a greater vulnerability of AD brains to all types of attacks and identified progression models to mimic AD brain functional connectivity through betweenness centrality and collective influence metrics. Furthermore, both spatial analysis and percolation theory identified a key disconnect between the anterior brain of the AD mice to the rest of the brain network." @default.
• W4200325343 created "2021-12-31" @default.
• W4200325343 creator A5031977277 @default.
• W4200325343 creator A5051925093 @default.
• W4200325343 creator A5075963983 @default.
• W4200325343 date "2022-01-01" @default.
• W4200325343 modified "2023-09-27" @default.
• W4200325343 title "Connectomic analysis of Alzheimer’s disease using percolation theory" @default.
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• W4200325343 doi "https://doi.org/10.1162/netn_a_00221" @default.
• W4200325343 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36605889" @default.

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