dc.contributor.author | Gómez Peña, Carlos | |
dc.contributor.author | Poza Crespo, Jesús | |
dc.contributor.author | Gómez Pilar, Javier | |
dc.contributor.author | Bachiller Matarranz, Alejandro | |
dc.contributor.author | Juan Cruz, Celia | |
dc.contributor.author | Tola Arribas, Miguel Ángel | |
dc.contributor.author | Carreres Rodríguez, Alicia | |
dc.contributor.author | Cano, Mónica | |
dc.contributor.author | Hornero Sánchez, Roberto | |
dc.date.accessioned | 2016-12-14T12:43:00Z | |
dc.date.available | 2016-12-14T12:43:00Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2016, p. 2830 - 2833 | es |
dc.identifier.issn | 1557-170X | es |
dc.identifier.uri | http://uvadoc.uva.es/handle/10324/21722 | |
dc.description | Producción Científica | es |
dc.description.abstract | The 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.mimetype | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | IEEE Conference Publications | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject | Entropy | es |
dc.title | Analysis of spontaneous EEG activity in Alzheimer’s disease using cross-sample entropy and graph theory | es |
dc.type | info:eu-repo/semantics/article | es |
dc.relation.publisherversion | http://ieeexplore.ieee.org/servlet/opac?punumber=1000269 | es |
dc.peerreviewed | SI | es |
dc.description.project | Ministerio de Economía y Competitividad (TEC2014-53196-R) | es |
dc.description.project | Junta de Castilla y León (proyecto VA037U16 y BIO/VA08/15) | es |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |