001019184 001__ 1019184
001019184 005__ 20231213202052.0
001019184 0247_ $$2datacite_doi$$a10.34734/FZJ-2023-05230
001019184 037__ $$aFZJ-2023-05230
001019184 041__ $$aEnglish
001019184 1001_ $$0P:(DE-HGF)0$$aAkradi, Mohammad$$b0
001019184 1112_ $$aeSLEEP Europe 2023$$cVirtual$$d2023-10-04 - 2023-10-06$$geSLEEP$$wGermany
001019184 245__ $$aThe effects of sleep-disordered breathing on neuroimaging biomarkers of Alzheimer disease
001019184 260__ $$c2023
001019184 3367_ $$033$$2EndNote$$aConference Paper
001019184 3367_ $$2DataCite$$aOther
001019184 3367_ $$2BibTeX$$aINPROCEEDINGS
001019184 3367_ $$2DRIVER$$aconferenceObject
001019184 3367_ $$2ORCID$$aLECTURE_SPEECH
001019184 3367_ $$0PUB:(DE-HGF)6$$2PUB:(DE-HGF)$$aConference Presentation$$bconf$$mconf$$s1702456946_27254$$xAfter Call
001019184 520__ $$aSleep-disordered breathing (SDB) is prevalent in Alzheimer’s disease (AD). We assessed whether and how SDB affects neuroimaging biomarkers of AD, including amyloid-beta plaque burden (Aβ), regional uptake of fluorodeoxyglucose using positron emission tomography (rFDG-PET), grey matter volume (GMV), as well as cognitive scores and cerebrospinal fluid (CSF) biomarkers. We selected 757 subjects from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database based on cognitive status (AD, mild cognitive impairment (MCI), cognitively unimpaired (CU)), and SDB condition (with/without SDB). To ensure the reliability of our findings and considering imbalanced sample size across groups, we used a stratified subsampling approach generating 10,000 subsamples (n=10/group). We then selected 512 subsamples with matched covariates. The effect size of the cognitive status-SDB interaction was computed for each biomarker and cognitive score. For reference, we computed 1000 null models by shuffling group labels randomly. The average value of effect sizes for each biomarker in each region was estimated through bootstrapping with 10,000 iterations for both the main and null models and compared with the null model’s distribution. Linear regression models were next implemented to identify associations between the effect size on Aβ, rFDG, and GMV with the effect size on cognitive scores and CSF biomarkers across all subsamples. The cognitive status-SDB interaction had a medium-sized effect on Aβ, rFDG and GMV biomarkers in several brain areas. The effect sizes of the mentioned interactions on Aβ plaque burden in the right precuneus, left middle temporal gyrus, and left occipital fusiform gyrus were associated with the effect sizes of the interactions on cognitive scores. Further, the interaction effect sizes on CSF Aβ42 were related to the interaction effect sizes on Aβ in the right precuneus and posterior cingulate cortex, as well as rFDG in the left precuneus cortex and GMV in bilateral angular gyrus and right occipital fusiform gyrus. Effect sizes on CSF p-tau were also correlated with the effect sizes on Aβ in the left lateral occipital cortex and GMV in the left middle temporal gyrus. We observed that SDB interacts with neuroimaging and CSF biomarkers of AD. Specifically, SDB has a robust association with markers of Aβ pathology in PET and CSF relative to rFDG and GMV in the AD group. The cognitive status-SDB interaction on Aβ is associated with cognitive decline. This study further supports the hypothesis that SDB may precipitate AD pathology.
001019184 536__ $$0G:(DE-HGF)POF4-5252$$a5252 - Brain Dysfunction and Plasticity (POF4-525)$$cPOF4-525$$fPOF IV$$x0
001019184 65027 $$0V:(DE-MLZ)SciArea-190$$2V:(DE-HGF)$$aMedicine$$x0
001019184 65017 $$0V:(DE-MLZ)GC-130-2016$$2V:(DE-HGF)$$aHealth and Life$$x0
001019184 7001_ $$0P:(DE-HGF)0$$aFarzane-Daghigh, Tara$$b1
001019184 7001_ $$0P:(DE-HGF)0$$aEbneabbasi, Amir$$b2
001019184 7001_ $$0P:(DE-Juel1)190453$$aBi, Hanwen$$b3$$ufzj
001019184 7001_ $$0P:(DE-Juel1)177611$$aDrzezga, Alexander$$b4$$ufzj
001019184 7001_ $$0P:(DE-HGF)0$$aMander, Bryce A.$$b5
001019184 7001_ $$0P:(DE-Juel1)131678$$aEickhoff, Simon$$b6$$ufzj
001019184 7001_ $$0P:(DE-Juel1)188400$$aTahmasian, Masoud$$b7$$eCorresponding author$$ufzj
001019184 8564_ $$uhttps://esleepeurope.eu/
001019184 8564_ $$uhttps://juser.fz-juelich.de/record/1019184/files/The%20effects%20of%20sleep-disordered%20breathing%20on%20neuroimaging%20biomarkers%20of%20Alzheimer%20disease.pdf$$yOpenAccess
001019184 8564_ $$uhttps://juser.fz-juelich.de/record/1019184/files/The%20effects%20of%20sleep-disordered%20breathing%20on%20neuroimaging%20biomarkers%20of%20Alzheimer%20disease.gif?subformat=icon$$xicon$$yOpenAccess
001019184 8564_ $$uhttps://juser.fz-juelich.de/record/1019184/files/The%20effects%20of%20sleep-disordered%20breathing%20on%20neuroimaging%20biomarkers%20of%20Alzheimer%20disease.jpg?subformat=icon-1440$$xicon-1440$$yOpenAccess
001019184 8564_ $$uhttps://juser.fz-juelich.de/record/1019184/files/The%20effects%20of%20sleep-disordered%20breathing%20on%20neuroimaging%20biomarkers%20of%20Alzheimer%20disease.jpg?subformat=icon-180$$xicon-180$$yOpenAccess
001019184 8564_ $$uhttps://juser.fz-juelich.de/record/1019184/files/The%20effects%20of%20sleep-disordered%20breathing%20on%20neuroimaging%20biomarkers%20of%20Alzheimer%20disease.jpg?subformat=icon-640$$xicon-640$$yOpenAccess
001019184 909CO $$ooai:juser.fz-juelich.de:1019184$$popenaire$$popen_access$$pVDB$$pdriver
001019184 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)190453$$aForschungszentrum Jülich$$b3$$kFZJ
001019184 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)177611$$aForschungszentrum Jülich$$b4$$kFZJ
001019184 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131678$$aForschungszentrum Jülich$$b6$$kFZJ
001019184 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)188400$$aForschungszentrum Jülich$$b7$$kFZJ
001019184 9131_ $$0G:(DE-HGF)POF4-525$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5252$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vDecoding Brain Organization and Dysfunction$$x0
001019184 9141_ $$y2023
001019184 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
001019184 920__ $$lyes
001019184 9201_ $$0I:(DE-Juel1)INM-7-20090406$$kINM-7$$lGehirn & Verhalten$$x0
001019184 980__ $$aconf
001019184 980__ $$aVDB
001019184 980__ $$aUNRESTRICTED
001019184 980__ $$aI:(DE-Juel1)INM-7-20090406
001019184 9801_ $$aFullTexts