Ítem
Acceso Abierto

Anomalous consistency in Mild Cognitive Impairment: A complex networks approach

Mostrar el registro sencillo de la publicación
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, S.spa
dc.creatorBuldú, J.M.spa
dc.date.accessioned2020-05-26T00:04:00Z
dc.date.available2020-05-26T00:04:00Z
dc.date.created2015spa
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. © 2014 Elsevier Ltd. All rights reserved.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1016/j.chaos.2014.10.013
dc.identifier.issn9600779
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/23648
dc.language.isoengspa
dc.publisherElsevier Ltdspa
dc.relation.citationEndPage155
dc.relation.citationIssueNo. 1
dc.relation.citationStartPage144
dc.relation.citationTitleChaos, Solitons and Fractals
dc.relation.citationVolumeVol. 70
dc.relation.ispartofChaos, Solitons and Fractals, ISSN:9600779, Vol.70, No.1 (2015); pp. 144-155spa
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84932613931&doi=10.1016%2fj.chaos.2014.10.013&partnerID=40&md5=a3cf8158df70a35dbb33ab32087baeb5spa
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.rights.accesoAbierto (Texto Completo)spa
dc.source.instnameinstname:Universidad del Rosariospa
dc.source.reponamereponame:Repositorio Institucional EdocURspa
dc.subject.keywordBrainspa
dc.subject.keywordBrain mappingspa
dc.subject.keywordHeterogeneous networksspa
dc.subject.keywordMagnetoencephalographyspa
dc.subject.keywordPathologyspa
dc.subject.keywordTopologyspa
dc.subject.keywordComplex networks theoriesspa
dc.subject.keywordFunctional activitiesspa
dc.subject.keywordMild cognitive impairmentsspa
dc.subject.keywordMild cognitive impairments (MCI)spa
dc.subject.keywordNetwork structuresspa
dc.subject.keywordNeuronal activitiesspa
dc.subject.keywordPathological conditionsspa
dc.subject.keywordTopological propertiesspa
dc.subject.keywordComplex networksspa
dc.titleAnomalous consistency in Mild Cognitive Impairment: A complex networks approachspa
dc.typearticleeng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaArtículospa
Archivos
Bloque original
Mostrando1 - 1 de 1
Miniatura
Nombre:
10-1-1-765-1050.pdf
Tamaño:
892.13 KB
Formato:
Adobe Portable Document Format
Descripción:
Descargar
Colecciones
Artículos