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Corrigendum to “Anomalous Consistency in Mild Cognitive Impairment: A complex networks approach” [Chaos Solitons Fract. J. 70 (2014) 144–155]

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dc.creatorMartínez, J.H.spa
dc.creatorAriza, P.spa
dc.creatorZanin, M.spa
dc.creatorPapo, D.spa
dc.creatorMaestú, F.spa
dc.creatorPastor, J.M.spa
dc.creatorBajo, R.spa
dc.creatorBoccaletti, Stefanospa
dc.creatorBuldú, J.M.spa
dc.date.accessioned2020-08-06T16:21:30Z
dc.date.available2020-08-06T16:21:30Z
dc.date.created2015-04spa
dc.description.abstractIncreased variability in performance has been associated with the emergence of several neurological and psychiatric pathologies. However, whether and how consistency of neuronal activity may also be indicative of an underlying pathology is still poorly understood.Here we propose a novel method for evaluating consistency from non-invasive brain recordings. We evaluate the consistency of the cortical activity recorded with magnetoencephalography in a group of subjects diagnosed with Mild Cognitive Impairment (MCI), a condition sometimes prodromal of dementia, during the execution of a memory task. We use metrics coming from nonlinear dynamics to evaluate the consistency of cortical regions. A representation known as parenclitic networks is constructed, where atypical features are endowed with a network structure, the topological properties of which can be studied at various scales. Pathological conditions correspond to strongly heterogeneous networks, whereas typical or normative conditions are characterized by sparsely connected networks with homogeneous nodes. The analysis of this kind of networks allows identifying the extent to which consistency is affected in the MCI group and the focal points where MCI is especially severe. To the best of our knowledge, these results represent the first attempt at evaluating the consistency of brain functional activity using complex networks theory.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1016/j.chaos.2015.01.008
dc.identifier.issnEISSN: 0960-0779
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/26376
dc.language.isoengspa
dc.publisherElsevierspa
dc.relation.citationStartPage200
dc.relation.citationTitleChaos, Solitons and Fractals
dc.relation.citationVolumeVol. 73
dc.relation.ispartofChaos, Solitons and Fractals, EISSN: 0960-0779, Vol.73 (April, 2015); pp.200spa
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S0960077915000156?via%3Dihubspa
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.rights.accesoAbierto (Texto Completo)spa
dc.sourceChaos, Solitons and Fractalsspa
dc.source.instnameinstname:Universidad del Rosario
dc.source.reponamereponame:Repositorio Institucional EdocUR
dc.subject.keywordAnomalous Consistencyspa
dc.subject.keywordMild Cognitivespa
dc.subject.keywordImpairment: A complex networks approachspa
dc.titleCorrigendum to “Anomalous Consistency in Mild Cognitive Impairment: A complex networks approach” [Chaos Solitons Fract. J. 70 (2014) 144–155]spa
dc.title.TranslatedTitleCorrección de errores de 'Consistencia anómala en deterioro cognitivo leve: un enfoque de redes complejas' [Chaos Solitons Fract. J. 70 (2014) 144–155]spa
dc.typeothereng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaErrataspa
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