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dc.contributor.authorHashemi, Amin
dc.contributor.authorLeonovych, Oleksii
dc.contributor.authorJiménez Pérez, Elizabeth Carolina
dc.contributor.authorSierra Marcos, Alba
dc.contributor.authorRomeo, August
dc.contributor.authorBustos Valenzuala, Patricia
dc.contributor.authorSolé Puig, Maria
dc.contributor.authorLopez Moliner, Joan
dc.contributor.authorTubau Sala, Elisabet
dc.contributor.authorSupèr, Hans
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Enginyeria Biomèdica
dc.date.accessioned2023-09-28T09:01:15Z
dc.date.available2023-09-28T09:01:15Z
dc.date.issued2023-03-01
dc.identifier.citationHashemi, A. [et al.]. Classification of MCI patients using vergence eye movements and pupil responses obtained during a visual oddball test. "Aging and health research", 1 Març 2023, vol. 3, núm. 1, article 100121.
dc.identifier.issn2667-0321
dc.identifier.urihttp://hdl.handle.net/2117/394191
dc.description.abstractIn the current study, we tested the hypothesis that Mild Cognitive Impairment (MCI) patients can be identified based on the analysis of vergence eye movements and pupil responses. We recorded vergence and pupil responses in MCI patients (N = 22) and cognitive healthy elderly (N = 18) while performing a visual oddball task. Based on selected features, a classifier model computed probability scores predicting MCI. MCI patients were re-evaluated in a follow-up visit of 12–18 months. For validating the model, patients with Alzheimer's Disease (AD) (N = 9) were tested. High classification accuracy was obtained (AUC: 0.93). In addition, the probability scores showed significant predictive power of MCI conversion into possible AD. Our results show that MCI can be detected by assessing vergence and pupil responses during a simple and short task. Therefore, these responses could potentially be used as a marker tool for MCI diagnosis and to identify the risk of developing Alzheimer's Disease.
dc.description.sponsorshipThis research was supported by grants from Spanish Ministry of Science (PGC2018–096074-B I00) and from AGAUR, Generalitat de Catalunya (2018-DI-75 & 2017-SGR-48)
dc.language.isoeng
dc.publisherElsevier
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectÀrees temàtiques de la UPC::Ciències de la salut::Medicina
dc.subjectÀrees temàtiques de la UPC::Enginyeria biomèdica
dc.subject.lcshBiochemical markers
dc.subject.lcshAlzheimer's disease
dc.subject.lcshEye -- Movements
dc.subject.otherAttention
dc.subject.otherEye movements
dc.subject.otherBiomarker
dc.subject.otherAlzheimer's disease
dc.subject.otherVergence
dc.titleClassification of MCI patients using vergence eye movements and pupil responses obtained during a visual oddball test
dc.typeArticle
dc.subject.lemacMarcadors bioquímics
dc.subject.lemacAlzheimer, Malaltia d'
dc.subject.lemacUlls -- Moviments
dc.identifier.doi10.1016/j.ahr.2023.100121
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S2667032123000057
dc.rights.accessOpen Access
local.identifier.drac36877643
dc.description.versionPostprint (published version)
local.citation.authorHashemi, A.; Leonovych, O.; Jiménez, E.; Sierra, A.; Romeo, A.; Bustos, P.; Solé, M.; Lopez-Moliner, J.; Tubau, E.; Supèr, H.
local.citation.publicationNameAging and health research
local.citation.volume3
local.citation.number1, article 100121


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