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Network community structure and resilience to localized damage: Application to brain microcirculation by Goirand, F. (author);Georgeot, B. (author);Giraud, O. (author);Lorthois, S. (author) is a Medicine article available to read on EtoBox.

What is Network community structure and resilience to localized damage: Application to brain microcirculation about?

In cerebrovascular networks, some vertices are more connected to each other than with the rest of the vasculature, defining a community structure. Here, we introduce a class of model networks built by rewiring Random Regular Graphs, which enables reproduction of this community structure and other topological properties of cerebrovascular networks. We use these model networks to study the global flow reduction induced by the removal of a single edge. We analytically show that this global flow reduction can be expressed as a function of the initial flow rate in the removed edge and of a topological quantity, both of which display probability distributions following Cauchy laws, i.e. with large tails. As a result, we show that the distribution of blood flow reductions is strongly influenced by the community structure. In particular, the probability of large flow reductions increases substantially when the community structure is stronger, weakening the network resilience to single capillary occlusions. We discuss the implications of these findings in the context of Alzheimers Disease, in which the importance of vascular mechanisms, including capillary occlusions, is beginning to be unc

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Author

Goirand, F. (author);Georgeot, B. (author);Giraud, O. (author);Lorthois, S. (author)

Publisher

Elsevier BV

Published

2021

Language

EN

Field

Medicine (Health Sciences)