Changes in the Network Eigen Entropy of resting-state functional brains across the lifespan
- DOI
- 10.2991/iwmecs-15.2015.168How to use a DOI?
- Keywords
- network eigen entropy (NEE),brain networks, fMRI, eigenvector centrality, graph theory.
- Abstract
The brain is a dynamic and complex network formed by hierarchical interconnections among functional regions and neural systems across lifespan. Recent studies using graph theory explore the functional organization of resting-state brains have coherently indicated many non-random topological properties such as modular structure, central communication hubs, small-world property, scale-free network, and efficient network architecture. However these studies have focused mainly on partial brain attributes rather than integrated communication across brain regions and the organization or order of the brain. In this study, we explored the entire lifespan trajectory of human whole-brain organization used resting-state functional magnetic resonance imaging (rs-fMRI) and entropy analyses of graphic network. We found that the network eigen entropy (NEE) decreased from child to early middle aged but remained stable from middle aged to early old. Further, the slightly increased NEE was observed in the older people. Our findings not only revealed the U-shaped development and aging trajectory of functional organization in resting-state human that underpin variance in cognitive functions of brains across lifespan.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yiming Fan AU - Hui Shen AU - Ling-li Zeng AU - Jian Qin AU - Zhiguo Luo AU - Dewen Hu PY - 2015/10 DA - 2015/10 TI - Changes in the Network Eigen Entropy of resting-state functional brains across the lifespan BT - Proceedings of the 2015 2nd International Workshop on Materials Engineering and Computer Sciences PB - Atlantis Press SP - 854 EP - 860 SN - 2352-538X UR - https://doi.org/10.2991/iwmecs-15.2015.168 DO - 10.2991/iwmecs-15.2015.168 ID - Fan2015/10 ER -