期刊
JOURNAL OF PHYSICS-COMPLEXITY
卷 2, 期 3, 页码 -出版社
IOP Publishing Ltd
DOI: 10.1088/2632-072X/ac202e
关键词
criticality; Griffiths phase; modular networks; geodesic entropy; epidemic spreading; brain networks
资金
- DeutscheForschungsgemeinschaft [HO4695/3-1]
- PRIN Grant [20174TPEFJ]
Recent studies have indicated that the topological features of brain networks lead to the emergence of a Griffiths phase, which can be controlled by altering intra- and intermodular connectivity. Adjusting system parameters can counteract changes in critical behavior.
Criticality has been conjectured as an integral part of neuronal network dynamics. Operating at a critical threshold requires precise parameter tuning and a corresponding mechanism remains an open question. Recent studies have suggested that topological features observed in brain networks give rise to a Griffiths phase, leading to power-law scaling in brain activity dynamics and the operational benefits of criticality in an extended parameter region. Motivated by growing evidence of neural correlates of different states of consciousness, we investigate how topological changes affect the expression of a Griffiths phase. We analyze the activity decay in modular networks using a susceptible-infected-susceptible propagation model and find that we can control the extension of the Griffiths phase by altering intra- and intermodular connectivity. We find that by adjusting system parameters, we can counteract changes in critical behavior and maintain a stable critical region despite changes in network topology. Our results give insight into how structural network properties affect the emergence of a Griffiths phase and how its features are linked to established topological network metrics. We discuss how those findings could contribute to an understanding of the changes in functional brain networks.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据