Sleep spindles and slow oscillations predict cognition and biomarkers of neurodegeneration in mild to moderate Alzheimer's disease

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dc.contributor.authorPáez, Arsenio
dc.contributor.authorGillman, Sam O.
dc.contributor.authorDogaheh, Shahla Bakian
dc.contributor.authorCarnes Vendrell, Anna
dc.contributor.authorDakterzada, Farida
dc.contributor.authorBarbé Illa, Ferran
dc.contributor.authorDang-Vu, Thien Thanh
dc.contributor.authorPiñol Ripoll, Gerard
dc.date.accessioned2025-05-09T12:17:42Z
dc.date.available2025-05-09T12:17:42Z
dc.date.issued2025
dc.description.abstractIntroduction: Changes in sleep physiology can predate cognitive symptoms by decades in persons with Alzheimer's disease (AD), but it remains unclear which sleep characteristics predict cognitive and neurodegenerative changes after AD onset. Methods: Using data from a prospective cohort of mild to moderate AD (n = 60), we analyzed non-rapid eye movement sleep spindles and slow oscillations (SOs) at baseline and their associations with baseline amyloid beta (Aβ) and tau and with cognition from baseline to 3-year follow-up. Results: Higher spindle and SO activity predicted significant changes in Aβ and tau at baseline, lower Alzheimer's Disease Assessment Scale Cognitive Subscale (better cognitive performance) score, and higher Mini-Mental State Examination score from baseline to 36 months. Spindles and SOs mediated the effect of phosphorylated tau 181 (pTau181)/Aβ42 on cognition, while pTau181/aβ42 moderated the effect of spindles and SOs on cognition. Discussion: Our findings demonstrate that spindle and SO activity during sleep constitute predictive and non-invasive biomarkers of neurodegeneration and cognition in AD patients. Highlights: Sleep spindles predict long-term cognitive performance in AD. Sleep spindle and SOs can be predictive, non-invasive biomarkers for AD. Sleep may be one of the most important modifiable risk factors for AD progression. Sleep microarchitecture is a novel therapeutic target for preserving brain heath. Sleep physiology can provide novel therapeutic targets to slow AD progression.
dc.identifier.doihttps://doi.org/10.1002/alz.14424
dc.identifier.issn1552-5279
dc.identifier.issn1552-5260
dc.identifier.urihttps://repositori.udl.cat/handle/10459.1/467946
dc.language.isoeng
dc.publisherWiley
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1002/alz.14424
dc.relation.ispartofAlzheimer's & Dementia, 2025, vol. 21, núm. 2, e14424
dc.rightscc-by (c) The Authors, 2025
dc.rightsAttribution 4.0 International*
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectAlzheimer's disease
dc.subjectAmyloid beta
dc.subjectBiomarkers
dc.subjectCognition
dc.subjectCognitive decline
dc.subjectSleep
dc.subjectSleep spindles
dc.subjectSlow oscillations
dc.subjectTau
dc.titleSleep spindles and slow oscillations predict cognition and biomarkers of neurodegeneration in mild to moderate Alzheimer's disease
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
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