Network Analysis of Intrinsic Functional Brain Connectivity in Alzheimer's Disease
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Abstract
Functional brain networks detected in task-free ("resting-state") functional magnetic resonance imaging (fMRI) have a small-world architecture that reflects a robust functional organization of the brain. Here, we examined whether this functional organization is disrupted in Alzheimer's disease (AD). Task-free fMRI data from 21 AD subjects and 18 age-matched controls were obtained. Wavelet analysis was applied to the fMRI data to compute frequency-dependent correlation matrices. Correlation matrices were thresholded to create 90-node undirected-graphs of functional brain networks. Small-world metrics (characteristic path length and clustering coefficient) were computed using graph analytical methods. In the low…
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Topics
Keywords
- Clustering coefficient
- Functional magnetic resonance imaging
- Resting state fMRI
- Neuroscience
- Default mode network
- Cluster analysis
- Small-world network
- Alzheimer's disease
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