Show simple item record

dc.contributor.authorGómez, Carlos
dc.contributor.authorPoza Crespo, Jesús 
dc.contributor.authorGómez Pilar, Javier
dc.contributor.authorBachiller, Alejandro
dc.contributor.authorJuan Cruz, Celia
dc.contributor.authorTola Arribas, Miguel A.
dc.contributor.authorCarreres, Alicia
dc.contributor.authorCano, Mónica
dc.contributor.authorHornero Sánchez, Roberto 
dc.date.accessioned2016-12-14T12:43:00Z
dc.date.available2016-12-14T12:43:00Z
dc.date.issued2016
dc.identifier.citationAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2016, p. 2830 - 2833es
dc.identifier.issn1557-170Xes
dc.identifier.urihttp://uvadoc.uva.es/handle/10324/21722
dc.descriptionProducción Científicaes
dc.description.abstractThe aim of this pilot study was to analyze spontaneous electroencephalography (EEG) activity in Alzheimer’s disease (AD) by means of Cross-Sample Entropy (Cross-SampEn) and two local measures derived from graph theory: clustering coefficient (CC) and characteristic path length (PL). Five minutes of EEG activity were recorded from 37 patients with dementia due to AD and 29 elderly controls. Our results showed that Cross-SampEn values were lower in the AD group than in the control one for all the interactions among EEG channels. This finding indicates that EEG activity in AD is characterized by a lower statistical dissimilarity among channels. Significant differences were found mainly for fronto-central interactions (p < 0.01, permutation test). Additionally, the application of graph theory measures revealed diverse neural network changes, i.e. lower CC and higher PL values in AD group, leading to a less efficient brain organization. This study suggests the usefulness of our approach to provide further insights into the underlying brain dynamics associated with AD.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherIEEE Conference Publicationses
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectEntropyes
dc.titleAnalysis of Spontaneous EEG Activity in Alzheimer’s Disease Using Cross-Sample Entropy and Graph Theoryes
dc.typeinfo:eu-repo/semantics/articlees
dc.relation.publisherversionhttp://ieeexplore.ieee.org/servlet/opac?punumber=1000269es
dc.peerreviewedSIes
dc.description.projectMinisterio de Economía y Competitividad (TEC2014-53196-R)es
dc.description.projectJunta de Castilla y León (proyecto VA037U16 y BIO/VA08/15)es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record