Topological variations of large-scale brain functional networks based on mutual information
Recent resting-state fMRI studies have suggested that inter-regional functional connectivity shows a small-world topology combined with a high level of global connectivity, which indicates an organization of brain in highly clustered subnetworks. However, little is known about the visual-activating functional connectivity in the human brain. In this study, we derive the brain functional networks under resting and visualactivation state out of all cortical regions of interest based on mutual information. The connections among regions reflect inter-region functional connectivity. Specifically, we investigate dynamical evolution of topology of brain functional networks realized by moving window technique. Robust small-world property with higher clustering coefficient and shorter mean distance is found in the brain functional networks under both resting and visual-activation state. More importantly, our results show that the topological structures of brain functional networks display obvious difference during the transition from visual-activation state to resting state. The diversity of topology of brain functional networks under visual-activation state may provide some insights to deeper understanding the mechanism of interaction between the brain functional configuration and cognitive activation.
Jian Zhang Shi-Min Cai Zhong-Qian Fu Pei-Ling Zhou
Department of Electronic Science and Technology University of Science and Technology of China, Hefei Anhui, 230026, PR China
国际会议
成都
英文
1-4
2010-06-18（万方平台首次上网日期，不代表论文的发表时间）