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dc.rights.licensehttp://creativecommons.org/licenses/by/2.0es_AR
dc.contributor.authorBarttfeld, Pabloes_AR
dc.contributor.authorAmoruso, Lucíaes_AR
dc.contributor.authorAis, Joaquínes_AR
dc.contributor.authorCukier, Sebastiánes_AR
dc.contributor.authorBavassi, Luzes_AR
dc.contributor.authorTomio, Ailines_AR
dc.contributor.authorManes, Facundoes_AR
dc.contributor.authorIbañez, Agustínes_AR
dc.contributor.authorSigman, Marianoes_AR
dc.date.accessioned2018-08-14T14:45:36Z
dc.date.available2018-08-14T14:45:36Z
dc.date.issued2013-06-27
dc.identifierdoi: 10.1186/1866-1955-5-16es_AR
dc.identifier.urihttps://doi.org/10.1186/1866-1955-5-16es_AR
dc.identifier.urihttps://repositorio.utdt.edu/handle/20.500.13098/11081
dc.description.abstractBackground: The dimensional approach to autism spectrum disorder (ASD) considers ASD as the extreme of a dimension traversing through the entire population. We explored the potential utility of electroencephalography (EEG) functional connectivity as a biomarker. We hypothesized that individual differences in autistic traits of typical subjects would involve a long-range connectivity diminution within the delta band. Methods: Resting-state EEG functional connectivity was measured for 74 neurotypical subjects. All participants also provided a questionnaire (Social Responsiveness Scale, SRS) that was completed by an informant who knows the participant in social settings. We conducted multivariate regression between the SRS score and functional connectivity in all EEG frequency bands. We explored modulations of network graph metrics characterizing the optimality of a network using the SRS score. Results: Our results show a decay in functional connectivity mainly within the delta and theta bands (the lower part of the EEG spectrum) associated with an increasing number of autistic traits. When inspecting the impact of autistic traits on the global organization of the functional network, we found that the optimal properties of the network are inversely related to the number of autistic traits, suggesting that the autistic dimension, throughout the entire population, modulates the efficiency of functional brain networks. Conclusions: EEG functional connectivity at low frequencies and its associated network properties may be associated with some autistic traits in the general population.es_AR
dc.format.extent9 p.es_AR
dc.format.mediumapplication/pdfes_AR
dc.languageenges_AR
dc.relation.ispartofJournal of Neurodevelopmental Disorders, 5:16, (2013). ISSN: 1866-1955es_AR
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.titleOrganization of brain networks governed by long-range connections index autistic traits in the general populationes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.subject.keywordAutism spectrum disorderses_AR
dc.subject.keywordElectroencephalographyes_AR
dc.subject.keywordAutistic traitses_AR
dc.subject.keywordSynchronization likelihoodes_AR
dc.subject.keywordSmall worldes_AR
dc.subject.keywordLong-range connectionses_AR
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_AR
dc.description.filiationFil: Barttfeld, Pablo. Physics Department, Laboratory of Integrative Neuroscience, FCEyN UBA and IFIBA, Conicet, Pabellón 1, Ciudad Universitaria, 1428 Buenos Aires, Argentina. Cognitive Neuroimaging Unit, Institut National de la Santé et de la Recherche Médicale (INSERM), 91191 Gif sur Yvette, Francees_AR
dc.description.filiationFil: Amoruso, Lucía. Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentinaes_AR
dc.description.filiationFil: Ais, Joaquín. Physics Department, Laboratory of Integrative Neuroscience, FCEyN UBA and IFIBA, Conicet, Pabellón 1, Ciudad Universitaria, 1428 Buenos Aires, Argentinaes_AR
dc.description.filiationFil: Cukier, Sebastián. Physics Department, Laboratory of Integrative Neuroscience, FCEyN UBA and IFIBA, Conicet, Pabellón 1, Ciudad Universitaria, 1428 Buenos Aires, Argentina. Programa Argentino para Niños, Adolescentes y Adultos con Condiciones del Espectro Autista (PANAACEA), Buenos Aires, Argentinaes_AR
dc.description.filiationFil: Bavassi, Luz. Physics Department, Laboratory of Integrative Neuroscience, FCEyN UBA and IFIBA, Conicet, Pabellón 1, Ciudad Universitaria, 1428 Buenos Aires, Argentinaes_AR
dc.description.filiationFil: Tomio, Ailin. Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentinaes_AR
dc.description.filiationFil: Manes, Facundo. Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentinaes_AR
dc.description.filiationFil: Ibañez, Agustín. Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentina. UDP-INECO Foundation Core on Neuroscience (UIFCoN), Diego Portales University, Santiago, Chilees_AR
dc.description.filiationFil: Sigman, Mariano. Physics Department, Laboratory of Integrative Neuroscience, FCEyN UBA and IFIBA, Conicet, Pabellón 1, Ciudad Universitaria, 1428 Buenos Aires, Argentina. Universidad Torcuato Di Tella, Escuela de Negocios, Laboratorio de Neurociencia, Buenos Aires, Argentinaes_AR


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