Modelling Human Cortical Network in Real Brain Space
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Abstract
Highly specific structural organization is of great significance in the topology of cortical networks. We introduce a human cortical network model, taking the specific cortical structure into account, in which nodes are brain sites placed in the actual positions of cerebral cortex and the establishment of edges depends on the spatial path length rather than the linear distance. The resulting network exhibits the essential features of cortical connectivity, properties of small-world networks and multiple clusters structure. Additionally, assortative mixing is also found in this model. All of these findings may be attributed to the specific cortical architecture.
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ZHAO Qing-Bai, FENG Hong-Bo, TANG Yi-Yuan. Modelling Human Cortical Network in Real Brain Space[J]. Chin. Phys. Lett., 2007, 24(12): 3582-3585.
ZHAO Qing-Bai, FENG Hong-Bo, TANG Yi-Yuan. Modelling Human Cortical Network in Real Brain Space[J]. Chin. Phys. Lett., 2007, 24(12): 3582-3585.
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ZHAO Qing-Bai, FENG Hong-Bo, TANG Yi-Yuan. Modelling Human Cortical Network in Real Brain Space[J]. Chin. Phys. Lett., 2007, 24(12): 3582-3585.
ZHAO Qing-Bai, FENG Hong-Bo, TANG Yi-Yuan. Modelling Human Cortical Network in Real Brain Space[J]. Chin. Phys. Lett., 2007, 24(12): 3582-3585.
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