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dc.contributor.authorGómez Peña, Carlos 
dc.contributor.authorVaquerizo Villar, Fernando 
dc.contributor.authorPoza Crespo, Jesús 
dc.contributor.authorRuiz Gómez, Saúl José 
dc.contributor.authorTola Arribas, Miguel Ángel 
dc.contributor.authorCano, Mónica
dc.contributor.authorHornero Sánchez, Roberto 
dc.date.accessioned2018-09-03T10:45:53Z
dc.date.available2018-09-03T10:45:53Z
dc.date.issued2017
dc.identifier.isbn978-1-5090-2809-2es
dc.identifier.urihttp://uvadoc.uva.es/handle/10324/31352
dc.descriptionProducción Científicaes
dc.description.abstractDementia due to Alzheimer’s disease (AD) is a common disorder with a great impact on the patients’ quality of life. The aim of this pilot study was to characterize spontaneous electroencephalography (EEG) activity in dementia due to AD using bispectral analysis. Five minutes of EEG activity were recorded from 17 patients with moderate dementia due to AD and 19 age-matched controls. Bispectrum results revealed that AD patients are characterized by an increase of phase coupling at low frequencies in comparison with controls. Additionally, some bispectral features calculated from the bispectrum showed significant differences between both groups (p < 0.05, Mann-Whitney U test with Bonferroni’s correction). Finally, a stepwise logistic regression analysis with a leave-one-out cross-validation procedure was used for classification purposes. An accuracy of 86.11% (sensitivity = 88.24%; specificity =84.21%) was achieved. This study suggests the usefulness of bispectral analysis to provide further insights into the underlying brain dynamics associated with ADes
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccesses
dc.titleBispectral Analysis of Spontaneous EEG Activity from Patients with Moderate Dementia Due to Alzheimer’s Diseasees
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.title.event39th Annual International Conference of the IEEE Engineering in Medicine and Biology Societyes
dc.description.projectThis research was supported in part by ‘Ministerio de Economía y Competitividad (MINECO)’ and FEDER under project TEC2014-53196-R, and ‘Consejería de Educación de la Junta de Castilla y León’ under project VA037U16. F. Vaquerizo-Villar was in receipt of a ‘Promoción de Empleo Joven e Implantación de la Garantía Juvenil en I+D+i’ grant from MINECO and University of Valladolid. C. Gómez, F. Vaquerizo-Villar, J. Poza, Saúl J. Ruiz, and R. Hornero are with the Biomedical Engineering Group, E.T.S. Ingenieros de Telecomunicación, University of Valladolid, Paseo Belén 15, 47011 Valladolid, Spain (e-mail: carlos.gomez@tel.uva.es). M. A. Tola is with the Department of Neurology, Hospital Universitario Río Hortega, Valladolid, Spain. M. Cano is with the Department of Clinical Neurophysiology, Hospital Universitario Río Hortega, Valladolid, Spain.es


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