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000267497 1001_ $$0P:(DE-2719)2814217$$aLevin, Fedor$$b0$$eFirst author$$udzne
000267497 245__ $$aLongitudinal trajectories of cognitive reserve in hypometabolic subtypes of Alzheimer's disease.
000267497 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2024
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000267497 520__ $$aPrevious studies have demonstrated resilience to AD-related neuropathology in a form of cognitive reserve (CR). In this study we investigated a relationship between CR and hypometabolic subtypes of AD, specifically the typical and the limbic-predominant subtypes. We analyzed data from 59 Aβ-positive cognitively normal (CN), 221 prodromal Alzheimer's disease (AD) and 174 AD dementia participants from the Alzheimer's Disease Neuroimaging Initiative (ADNI) from ADNI and ADNIGO/2 phases. For replication, we analyzed data from 5 Aβ-positive CN, 89 prodromal AD and 43 AD dementia participants from ADNI3. CR was estimated as standardized residuals in a model predicting cognition from temporoparietal grey matter volumes and covariates. Higher CR estimates predicted slower cognitive decline. Typical and limbic-predominant hypometabolic subtypes demonstrated similar baseline CR, but the results suggested a faster decline of CR in the typical subtype. These findings support the relationship between subtypes and CR, specifically longitudinal trajectories of CR. Results also underline the importance of longitudinal analyses in research on CR.
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000267497 650_2 $$2MeSH$$aHumans
000267497 650_2 $$2MeSH$$aAlzheimer Disease: diagnostic imaging
000267497 650_2 $$2MeSH$$aAlzheimer Disease: pathology
000267497 650_2 $$2MeSH$$aCognitive Reserve
000267497 650_2 $$2MeSH$$aBrain: diagnostic imaging
000267497 650_2 $$2MeSH$$aBrain: pathology
000267497 650_2 $$2MeSH$$aCognition
000267497 650_2 $$2MeSH$$aGray Matter: diagnostic imaging
000267497 650_2 $$2MeSH$$aGray Matter: pathology
000267497 650_2 $$2MeSH$$aCognitive Dysfunction: pathology
000267497 650_7 $$2Other$$aAlzheimer’s disease
000267497 650_7 $$2Other$$aAlzheimer’s disease
000267497 650_7 $$2Other$$aAlzheimer’s disease
000267497 650_7 $$2Other$$aAlzheimer’s disease
000267497 650_7 $$2Other$$aCognitive reserve
000267497 650_7 $$2Other$$aFDG-PET
000267497 650_7 $$2Other$$aMild cognitive impairment
000267497 650_7 $$2Other$$aProdromal AD
000267497 650_7 $$2Other$$aSubtypes
000267497 7001_ $$aGrothe, Michel J$$b1
000267497 7001_ $$0P:(DE-2719)2810283$$aDyrba, Martin$$b2$$udzne
000267497 7001_ $$aFranzmeier, Nicolai$$b3
000267497 7001_ $$0P:(DE-2719)2000026$$aTeipel, Stefan J$$b4$$eLast author$$udzne
000267497 7001_ $$aInitiative, Alzheimer’s Disease Neuroimaging$$b5$$eCollaboration Author
000267497 773__ $$0PERI:(DE-600)1498414-3$$a10.1016/j.neurobiolaging.2023.12.003$$gVol. 135, p. 26 - 38$$p26 - 38$$tNeurobiology of aging$$v135$$x0197-4580$$y2024
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