Computational Analysis of Connectivity in the Mammalian Cerebral Cortez
Neuroanatomical connectivity and functional connectivity are to be studied for understand the mechanism of neural systems accepting the sensory inputs and combining different information. We examined the structural features of three mammalian cerebral cortex networks and a number of randomized control networks expressed as graphs and patterns of functional connectivity to which they give rise when implemented as dynamic systems. We found that the cerebral cortex of macaque, cat and rat have smaller characteristic path length and diameter of graph but higher reciprocal fraction and cluster index in structure connectivity, which shows features characteristic of small-world networks. At the same time, the cerebral cortex networks have higher entropy and complexity in function connectivity compared with the same size and density random networks. Multidimensional Scaling analysis showed that the cerebral cortex areas with similar functions connect with each other more closely.
connectivity cerebral cortez graph theory neurodynamics Multidimensional Scaling
Li Ying Hao Dong-Mei Li Ming-Ai
School of Life Science and Bioengineering, Beijing University of Technology Beijing 100022, P. R. Ch School of Electronic Information and Control Engineering, Beijing University of Technology
国际会议
上海
英文
1800-1803
2008-05-16（万方平台首次上网日期，不代表论文的发表时间）