Resilience of human brain functional coactivation networks under thresholding
S. Sarkar, S. Chawla, H. Weng

TL;DR
This study investigates the robustness of human brain functional networks, revealing they maintain modularity and hub structures under significant connectivity erosion until a critical threshold causes sudden breakdown, indicating high resilience.
Contribution
It demonstrates the resilience of brain network modularity and hubs under thresholding and identifies a phase transition point where these structures abruptly fail.
Findings
Networks show strong resilience to connectivity loss.
Modularity and hubs are maintained over a wide range of thresholds.
Sudden breakdown occurs near zero connectivity, indicating a phase transition.
Abstract
Recent studies have demonstrated the existence of community structure and rich club nodes, (i.e., highly interconnected, high degree hub nodes), in human brain functional networks. The cognitive relevance of the detected modules and hubs has also been demonstrated, for both task based and default mode networks, suggesting that the brain self-organizes into patterns of co-activated sets of regions for performing specific tasks or in resting state. In this paper, we report studies on the resilience or robustness of this modular structure: under systematic erosion of connectivity in the network under thresholding, how resilient is the modularity and hub structure? The results show that the network shows show strong resilience properties, with the modularity and hub structure maintaining itself over a large range of connection strengths. Then, at a certain critical threshold that falls very…
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Taxonomy
TopicsFunctional Brain Connectivity Studies · Neural dynamics and brain function · EEG and Brain-Computer Interfaces
