Simulating the Evolution of Functional Brain Networks in Alzheimer's Disease: Exploring Disease Dynamics from the Perspective of Global Activity.

Abstract:

:Functional brain connectivity is altered during the pathological processes of Alzheimer's disease (AD), but the specific evolutional rules are insufficiently understood. Resting-state functional magnetic resonance imaging indicates that the functional brain networks of individuals with AD tend to be disrupted in hub-like nodes, shifting from a small world architecture to a random profile. Here, we proposed a novel evolution model based on computational experiments to simulate the transition of functional brain networks from normal to AD. Specifically, we simulated the rearrangement of edges in a pathological process by a high probability of disconnecting edges between hub-like nodes, and by generating edges between random pair of nodes. Subsequently, four topological properties and a nodal distribution were used to evaluate our model. Compared with random evolution as a null model, our model captured well the topological alteration of functional brain networks during the pathological process. Moreover, we implemented two kinds of network attack to imitate the damage incurred by the brain in AD. Topological changes were better explained by 'hub attacks' than by 'random attacks', indicating the fragility of hubs in individuals with AD. This model clarifies the disruption of functional brain networks in AD, providing a new perspective on topological alterations.

journal_name

Sci Rep

journal_title

Scientific reports

authors

Li W,Wang M,Zhu W,Qin Y,Huang Y,Chen X

doi

10.1038/srep34156

subject

Has Abstract

pub_date

2016-09-28 00:00:00

pages

34156

issn

2045-2322

pii

srep34156

journal_volume

6

pub_type

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