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001043580 1001_ $$0P:(DE-HGF)0$$aAkradi, Mohammad$$b0
001043580 245__ $$aHow is self-reported sleep-disordered breathing linked with biomarkers of Alzheimer’s disease?
001043580 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2025
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001043580 500__ $$aData collection and sharing for this project was 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). ADNI is funded by the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering, and through generous contributions from the following: AbbVie, Alzheimer's Association; Alzheimer's Drug Discovery Foundation; Araclon Biotech; BioClinica, Inc.; Biogen; Bristol-Myers Squibb Company; CereSpir, Inc.; Cogstate; Eisai Inc.; Elan Pharmaceuticals, Inc.; Eli Lilly and Company; EuroImmun; F. Hoffmann-La Roche Ltd and its affiliated company Genentech, Inc.; Fujirebio; GE Healthcare; IXICO Ltd.;Janssen Alzheimer Immunotherapy Research & Development, LLC.; Johnson & Johnson Pharmaceutical Research & Development LLC.; Lumosity; Lundbeck; Merck & Co., Inc.;Meso Scale Diagnostics, LLC.; NeuroRx Research; Neurotrack Technologies; Novartis Pharmaceuticals Corporation; Pfizer Inc.; Piramal Imaging; Servier; Takeda Pharmaceutical Company; and Transition Therapeutics. The Canadian Institutes of Health Research is providing funds to support ADNI clinical sites in Canada. Private sector contributions are facilitated by the Foundation for the National Institutes of Health (www.fnih.org). The grantee organization is the Northern California Institute for Research and Education, and the study is coordinated by the Alzheimer's Therapeutic Research Institute at the University of Southern California. ADNI data are disseminated by the Laboratory for Neuro Imaging at the University of Southern California. Author SBE received Helmholtz Imaging Platform grant (NimRLS, ZT-I-PF-4–010). Author BM currently serves on a scientific advisory board for AstronauTx.
001043580 520__ $$aSleep-disordered breathing (SDB) is prevalent in Alzheimer’s disease (AD). Here, we assessed how self-reported SDB is linked with AD biomarkers, including amyloid-beta plaque burden (Aβ), regional fluorodeoxyglucose uptake (rFDG-PET), grey matter volume (GMV), cognitive scores, and cerebrospinal fluid (CSF) biomarkers. We selected 757 individuals, including AD, mild cognitive impairment (MCI), and cognitively unimpaired (CU) groups, and divided them according to self-reported SDB condition. Using a stratified subsampling approach, we selected 512 matched subsamples, and effect sizes (ES) of the group-SDB interaction were computed for each biomarker and cognitive score across subsamples. Linear regression assessed associations between the ES of Aβ, rFDG, and GMV with the ES of cognitive scores and CSF biomarkers. The group-SDB interaction had a medium-sized effect on Aβ, rFDG, and GMV biomarkers in several brain areas. Participants with SDB exhibited reduced Aβ burden and increased rFDG uptake in the CU and MCI groups, whereas the AD group showed elevated Aβ burden and decreased rFDG. Additionally, SDB+ individuals demonstrated GMV alterations across all groups. The ES of group-SDB interaction on Aβ in the precuneus, middle temporal gyrus, and fusiform gyrus was associated with the ES of cognitive scores. Taken together, we observed a robust association of SDB with Aβ pathology in PET and CSF relative to rFDG and GMV in the AD group, which was also associated with cognitive decline.
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001043580 7001_ $$0P:(DE-HGF)0$$aFarzane-Daghigh, Tara$$b1
001043580 7001_ $$0P:(DE-HGF)0$$aEbneabbasi, Amir$$b2
001043580 7001_ $$0P:(DE-Juel1)190453$$aBi, Hanwen$$b3$$ufzj
001043580 7001_ $$0P:(DE-Juel1)177611$$aDrzezga, Alexander$$b4$$ufzj
001043580 7001_ $$0P:(DE-HGF)0$$aMander, Bryce A.$$b5
001043580 7001_ $$0P:(DE-Juel1)131678$$aEickhoff, Simon B.$$b6$$ufzj
001043580 7001_ $$0P:(DE-Juel1)188400$$aTahmasian, Masoud$$b7$$eCorresponding author
001043580 773__ $$0PERI:(DE-600)1498414-3$$a10.1016/j.neurobiolaging.2025.06.006$$gp. S0197458025001034$$p16-24$$tNeurobiology of aging$$v154$$x0197-4580$$y2025
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