articlePLoS Computational BiologyJun 26, 2008GOLD OA

Network Analysis of Intrinsic Functional Brain Connectivity in Alzheimer's Disease

Stanford University

PubMed
Indexed incrossrefdoajpubmed

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

Keywords
  • Clustering coefficient
  • Functional magnetic resonance imaging
  • Resting state fMRI
  • Neuroscience
  • Default mode network
  • Cluster analysis
  • Small-world network
  • Alzheimer's disease
UN Sustainable Development Goals
  • Partnerships for the goals
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