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Monitoring effective connectivity in the preterm brain: A graph approach to study maturation

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dc.creatorCaicedo Dorado, Alexander
dc.creatorJansen, Kspa
dc.creatorDereymaeker, Aspa
dc.creatorNaulaers, Gspa
dc.creatorVan Huffel, Sspa
dc.creatorLavanga, Mspa
dc.creatorDe Wel, Ospa
dc.date.accessioned2020-08-19T14:46:07Z
dc.date.available2020-08-19T14:46:07Z
dc.date.created2017-10-17spa
dc.description.abstractIn recent years, functional connectivity in the developmental science received increasing attention. Although it has been reported that the anatomical connectivity in the preterm brain develops dramatically during the last months of pregnancy, little is known about how functional and effective connectivity change with maturation. The present study investigated how effective connectivity in premature infants evolves. To assess it, we use EEG measurements and graph-theory methodologies. We recorded data from 25 preterm babies, who underwent long-EEG monitoring at least twice during their stay in the NICU. The recordings took place from 27 weeks postmenstrual age (PMA) until 42 weeks PMA. Results showed that the EEG-connectivity, assessed using graph-theory indices, moved from a small-world network to a random one, since the clustering coefficient increases and the path length decreases. This shift can be due to the development of the thalamocortical connections and long-range cortical connections. Based on the network indices, we developed different age-prediction models. The best result showed that it is possible to predict the age of the infant with a root mean-squared error () equal to 2.11 weeks. These results are similar to the ones reported in the literature for age prediction in preterm babies.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1155/2017/9078541
dc.identifier.issnISSN: 1076-2787
dc.identifier.issnEISSN: 1099-0526
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/28151
dc.language.isoengspa
dc.publisherJohn Wiley & Sonsspa
dc.publisherHindawi Publishing Corporationspa
dc.relation.citationTitleComplexity
dc.relation.ispartofHindawi Complexity, ISSN: 1076-2787; EISSN: 1099-0526, (2017); 13 pp.spa
dc.relation.urihttps://www.hindawi.com/journals/complexity/2017/9078541/spa
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.rights.accesoAbierto (Texto Completo)spa
dc.sourceComplexityspa
dc.source.instnameinstname:Universidad del Rosario
dc.source.reponamereponame:Repositorio Institucional EdocUR
dc.subject.keywordFunctional connectivityspa
dc.subject.keywordIncreasing attentionspa
dc.subject.keywordAnatomical connectivityspa
dc.subject.keywordPreterm brainspa
dc.titleMonitoring effective connectivity in the preterm brain: A graph approach to study maturationspa
dc.title.TranslatedTitleMonitoreo de la conectividad efectiva en el cerebro prematuro: un enfoque gráfico para estudiar la maduraciónspa
dc.typearticleeng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaArtículospa
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