作者
Ruggero G Bettinardi, Gustavo Deco, Vasileios M Karlaftis, Tim J Van Hartevelt, Henrique M Fernandes, Zoe Kourtzi, Morten L Kringelbach, Gorka Zamora-López
发表日期
2017/4/1
期刊
Chaos: An Interdisciplinary Journal of Nonlinear Science
卷号
27
期号
4
出版商
AIP Publishing
简介
Intrinsic brain activity is characterized by highly organized co-activations between different regions, forming clustered spatial patterns referred to as resting-state networks. The observed co-activation patterns are sustained by the intricate fabric of millions of interconnected neurons constituting the brain's wiring diagram. However, as for other real networks, the relationship between the connectional structure and the emergent collective dynamics still evades complete understanding. Here, we show that it is possible to estimate the expected pair-wise correlations that a network tends to generate thanks to the underlying path structure. We start from the assumption that in order for two nodes to exhibit correlated activity, they must be exposed to similar input patterns from the entire network. We then acknowledge that information rarely spreads only along a unique route but rather travels along all possible paths. In real …
引用总数
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