Cognition or genetics? Predicting Alzheimer's disease with practice effects, APOE genotype, and brain metabolism

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dc.contributorPsicología Aplicada a la Salud y Comportamiento Humano (PSYBHE)es_ES
dc.contributor.authorOltra-Cucarella, Javier-
dc.contributor.authorSanchez-SanSegundo, Miriam-
dc.contributor.authorFerrer-Cascales, Rosario-
dc.contributor.authorAlzheimer's Disease Neuroimaging Initiative-
dc.contributor.otherUniversidad de Alicante. Departamento de Psicología de la Saludes_ES
dc.date.accessioned2018-09-13T10:40:51Z-
dc.date.available2018-09-13T10:40:51Z-
dc.date.issued2018-11-
dc.identifier.citationNeurobiology of Aging. 2018, 71: 234-240. doi:10.1016/j.neurobiolaging.2018.08.004es_ES
dc.identifier.issn0197-4580 (Print)-
dc.identifier.issn1558-1497 (Online)-
dc.identifier.urihttp://hdl.handle.net/10045/79497-
dc.description.abstractAs practice effects are common in neuropsychological assessment, this study analyzed their utility to identify individuals with amnestic mild cognitive impairment (aMCI) at the greatest risk for Alzheimer's disease (AD-risk) and compared practice effects with APOE and brain metabolism biomarkers. We regressed Auditory Verbal Learning Test delayed recall (AVLT-DR) at 6 months on baseline AVLT-DR scores in 394 individuals with normal cognition from the Alzheimer's Disease Neuroimaging Initiative database and dichotomized 816 individuals with aMCI as showing practice effect or not showing practice effects (PE−) when the discrepancy between observed and predicted scores was found in less than 10%, 7%, and 5% of normal cognition. Cox regressions analyzed the AD-risk at 6 years. More than 60% of aMCI were showing practice effects. Controlling for age, sex, education, and baseline Mini-Mental State Examination and AVLT-DR scores, the AD-risk was associated with PE− [hazard ratio (HR) = 1.93], lower brain metabolism (HR = 0.95), and APOE genotype (HR = 1.92), with narrower risk estimates for PE−. The lack of practice effects during a 6-month period might be as precise as biomarkers for predicting the 6-year AD-risk.es_ES
dc.description.sponsorshipData collection and sharing for this project were funded by the Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant U01 AG024904) and DOD ADNI (Department of Defense award number W81XWH-12-2-0012).es_ES
dc.languageenges_ES
dc.publisherElsevieres_ES
dc.rights© 2018 Elsevier Inc.es_ES
dc.subjectAlzheimer's diseasees_ES
dc.subjectCognitive impairmentes_ES
dc.subjectDementiaes_ES
dc.subjectMild cognitive impairmentes_ES
dc.subjectNeurodegenerativees_ES
dc.subjectPractice effectses_ES
dc.subject.otherPersonalidad, Evaluación y Tratamiento Psicológicoes_ES
dc.titleCognition or genetics? Predicting Alzheimer's disease with practice effects, APOE genotype, and brain metabolismes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.peerreviewedsies_ES
dc.identifier.doi10.1016/j.neurobiolaging.2018.08.004-
dc.relation.publisherversionhttps://doi.org/10.1016/j.neurobiolaging.2018.08.004es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
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