Characterizing complex networks using entropy-degree diagrams: unveiling changes in functional brain connectivity induced by ayahuasca

dc.contributor.authorViol, Aline
dc.contributor.authorPalhano-Fontes, Fernanda
dc.contributor.authorOnias, Heloisa
dc.contributor.authorAraújo, Dráulio Barros de
dc.contributor.authorHövel, Philipp
dc.contributor.authorViswanathan, Gandhi M.
dc.date.accessioned2019-03-13T17:42:33Z
dc.date.available2019-03-13T17:42:33Z
dc.date.issued2019-01-30
dc.description.resumoWith the aim of further advancing the understanding of the human brain’s functional connectivity, we propose a network metric which we term the geodesic entropy. This metric quantifies the Shannon entropy of the distance distribution to a specific node from all other nodes. It allows to characterize the influence exerted on a specific node considering statistics of the overall network structure. The measurement and characterization of this structural information has the potential to greatly improve our understanding of sustained activity and other emergent behaviors in networks. We apply this method to study how the psychedelic infusion Ayahuasca affects the functional connectivity of the human brain in resting state. We show that the geodesic entropy is able to differentiate functional networks of the human brain associated with two different states of consciousness in the awaking resting state: (i) the ordinary state and (ii) a state altered by ingestion of the Ayahuasca. The functional brain networks from subjects in the altered state have, on average, a larger geodesic entropy compared to the ordinary state. Finally, we discuss why the geodesic entropy may bring even further valuable insights into the study of the human brain and other empirical networks.pt_BR
dc.identifier.citationVIOL, A. et al. Characterizing complex networks using entropy-degree diagrams: unveiling changes in functional brain connectivity induced by ayahuasca. Entropy, v. 21, n. 2, p. 128, jan. 2019.pt_BR
dc.identifier.doi10.3390/e21020128
dc.identifier.urihttps://repositorio.ufrn.br/jspui/handle/123456789/26758
dc.languageenpt_BR
dc.subjectentropypt_BR
dc.subjectfunctional brain networkspt_BR
dc.subjectpsychedelic statept_BR
dc.subjectAyahuascapt_BR
dc.subjectcomplex networkspt_BR
dc.titleCharacterizing complex networks using entropy-degree diagrams: unveiling changes in functional brain connectivity induced by ayahuascapt_BR
dc.typearticlept_BR

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