Network properties of healthy and Alzheimer's brains
arXiv:1905.11249 · doi:10.1016/j.physa.2020.124475
Abstract
Small-world structures are often used to describe structural connections in the brain. In this work, we compare the structural connection of cortical areas of a healthy brain and a brain affected by Alzheimer's disease with artificial small-world networks. Based on statistics analysis, we demonstrate that similar small-world networks can be constructed using Newman-Watts procedure. The network quantifiers of both structural matrices are identified inside the probabilistic valley. Despite of similarities between structural connection matrices and sampled small-world networks, increased assortativity can be found in the Alzheimer brain. Our results indicate that network quantifiers can be helpful to identify abnormalities in real structural connection matrices.
References in corpus (9)
- The structure and function of complex networks
- Finding and evaluating community structure in networks
- Modularity and community structure in networks
- Assortative mixing in networks
- Structural Properties of the Caenorhabditis elegans Neuronal Network
- Social games in a social network
- A Tutorial in Connectome Analysis: Topological and Spatial Features of Brain Networks
- Edge direction and the structure of networks
- The functional structure of cortical neuronal networks grown in vitro