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dc.creatorAmor, T. A.-
dc.creatorRusso, R.-
dc.creatorDiez, I.-
dc.creatorBharath, P.-
dc.creatorZirovich, P.-
dc.creatorStramaglia, S.-
dc.creatorCortes, J. M.-
dc.creatorde Arcangelis, L.-
dc.creatorChialvo, Dante Renato-
dc.date2017-02-24T19:10:05Z-
dc.date2017-02-24T19:10:05Z-
dc.date2015-09-
dc.date2017-02-23T13:54:24Z-
dc.date.accessioned2019-04-29T15:28:49Z-
dc.date.available2019-04-29T15:28:49Z-
dc.date.issued2017-02-24T19:10:05Z-
dc.date.issued2017-02-24T19:10:05Z-
dc.date.issued2015-09-
dc.date.issued2017-02-23T13:54:24Z-
dc.identifierAmor, T. A.; Russo, R.; Diez, I.; Bharath, P.; Zirovich, P.; et al.; Extreme brain events: higher-order statistics of brain resting activity and its relation with structural connectivity; IOP Publishing; Europhysics Letters; 111; 6; 9-2015; 1-6; 68007-
dc.identifier0295-5075-
dc.identifierhttp://hdl.handle.net/11336/13391-
dc.identifier1286-4854-
dc.identifier.urihttp://rodna.bn.gov.ar:8080/jspui/handle/bnmm/294879-
dc.descriptionThe brain exhibits a wide variety of spatiotemporal patterns of neuronal activity recorded using functional magnetic resonance imaging as the so-called blood-oxygenated-level–dependent (BOLD) signal. An active area of work includes efforts to best describe the plethora of these patterns evolving continuously in the brain. Here we explore the third-moment statistics of the brain BOLD signals in the resting state as a proxy to capture extreme BOLD events. We find that the brain signal exhibits typically nonzero skewness, with positive values for cortical regions and negative values for subcortical regions. Furthermore, the combined analysis of structural and functional connectivity demonstrates that relatively more connected regions exhibit activity with high negative skewness. Overall, these results highlight the relevance of recent results emphasizing that the spatiotemporal location of the relatively large-amplitude events in the BOLD time series contains relevant information to reproduce a number of features of the brain dynamics during resting state in health and disease.-
dc.descriptionFil: Amor, T. A.. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina-
dc.descriptionFil: Russo, R.. Università Degli Studi Di Napoli Federico Ii; Italia-
dc.descriptionFil: Diez, I.. Cruces University Hospital; España-
dc.descriptionFil: Bharath, P.. VA West Los Angeles Medical Center; Estados Unidos-
dc.descriptionFil: Zirovich, P.. VA West Los Angeles Medical Center; Estados Unidos-
dc.descriptionFil: Stramaglia, S.. Universita Degli Studi Di Bari; Italia. Basque Center for Applied Mathematics; España-
dc.descriptionFil: Cortes, J. M.. Cruces University Hospital; España. The Basque Foundation for Science; España. University of the Basque Country; España-
dc.descriptionFil: de Arcangelis, L.. Seconda Universita Degli Studi Di Napoli; Italia-
dc.descriptionFil: Chialvo, Dante Renato. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Cientifico Tecnológico Rosario; Argentina-
dc.formatapplication/pdf-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherIOP Publishing-
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1209/0295-5075/111/68007-
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://iopscience.iop.org/article/10.1209/0295-5075/111/68007-
dc.rightsinfo:eu-repo/semantics/restrictedAccess-
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/-
dc.sourcereponame:CONICET Digital (CONICET)-
dc.sourceinstname:Consejo Nacional de Investigaciones Científicas y Técnicas-
dc.sourceinstacron:CONICET-
dc.subjectMRI-
dc.subjectCOMPLEX SYSTEMS-
dc.subjectNEUROIMAGING-
dc.subjectOtras Ciencias Físicas-
dc.subjectCiencias Físicas-
dc.subjectCIENCIAS NATURALES Y EXACTAS-
dc.titleExtreme brain events: higher-order statistics of brain resting activity and its relation with structural connectivity-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.typeinfo:ar-repo/semantics/articulo-
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