Resiliency of EEG-Based Brain Functional Networks

Mahdi Jalili

PLOS ONE, 2015, vol. 10, issue 8, 1-10

Abstract: Applying tools available in network science and graph theory to study brain networks has opened a new era in understanding brain mechanisms. Brain functional networks extracted from EEG time series have been frequently studied in health and diseases. In this manuscript, we studied failure resiliency of EEG-based brain functional networks. The network structures were extracted by analysing EEG time series obtained from 30 healthy subjects in resting state eyes-closed conditions. As the network structure was extracted, we measured a number of metrics related to their resiliency. In general, the brain networks showed worse resilient behaviour as compared to corresponding random networks with the same degree sequences. Brain networks had higher vulnerability than the random ones (P

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0135333

DOI: 10.1371/journal.pone.0135333

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