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A Theta-Band EEG Based Index for Early Diagnosis of Alzheimer’s Disease

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dc.contributor Universitat de Vic. Escola Politècnica Superior
dc.contributor.author Gallego Jutglà, Esteve
dc.contributor.author Solé-Casals, Jordi
dc.contributor.author Vialatte, François B.
dc.contributor.author Dauwels, Justin
dc.contributor.author Cichocki, Andrej
dc.date.accessioned 2015-01-22T11:56:40Z
dc.date.available 2015-01-22T11:56:40Z
dc.date.issued 2015
dc.identifier.citation Gallego-Jutglà, E., Solé-Casals, J., Vialatte, F. -., Dauwels, J., & Cichocki, A. (2015). A theta-band EEG based index for early diagnosis of alzheimer's disease. Journal of Alzheimer's Disease, 43(4), 1175-1184. ca_ES
dc.identifier.issn 1387-2877
dc.identifier.uri http://hdl.handle.net/10854/3845
dc.description.abstract Despite recent advances, early diagnosis of Alzheimer’s disease (AD) from electroencephalography (EEG) remains a difficult task. In this paper, we offer an added measure through which such early diagnoses can potentially be improved. One feature that has been used for discriminative classification is changes in EEG synchrony. So far, only the decrease of synchrony in the higher frequencies has been deeply analyzed. In this paper, we investigate the increase of synchrony found in narrow frequency ranges within the θ band. This particular increase of synchrony is used with the well-known decrease of synchrony in the band to enhance detectable differences between AD patients and healthy subjects. We propose a new synchrony ratio that maximizes the differences between two populations. The ratio is tested using two different data sets, one of them containing mild cognitive impairment patients and healthy subjects, and another one, containing mild AD patients and healthy subjects. The results presented in this paper show that classification rate is improved, and the statistical difference between AD patients and healthy subjects is increased using the proposed ratio. ca_ES
dc.format application/pdf
dc.format.extent 10 p. ca_ES
dc.language.iso eng ca_ES
dc.publisher IOS Press ca_ES
dc.rights (c) IOS Press
dc.rights Tots els drets reservats ca_ES
dc.subject.other Alzheimer, Malaltia d' ca_ES
dc.title A Theta-Band EEG Based Index for Early Diagnosis of Alzheimer’s Disease ca_ES
dc.type info:eu-repo/semantics/article ca_ES
dc.identifier.doi https://doi.org/10.3233/JAD-140468
dc.rights.accesRights info:eu-repo/semantics/openAccess ca_ES
dc.type.version info:eu-repo/publishedVersion ca_ES
dc.indexacio Indexat a WOS/JCR
dc.indexacio Indexat a SCOPUS ca_ES

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