Journal Article

FZJ-2020-01696

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Gray matter volume and estimated brain age gap are not linked with sleep-disordered breathing

Mohajer, B. ; Abbasi, N. ; Mohammadi, E. ; Khazaie, H. ; Osorio, R. S. ; Rosenzweig, I. ; Eickhoff, C. R.FZJ* ; Zarei, M. ; Tahmasian, M. (Corresponding author) ; Eickhoff, S. B.FZJ*

2020
Wiley-Liss New York, NY

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Please use a persistent id in citations: http://hdl.handle.net/2128/25302  doi:10.1002/hbm.24995

Abstract: Alzheimer's disease (AD) and sleep-disordered breathing (SDB) are prevalent conditions with a rising burden. It is suggested that SDB may contribute to cognitive decline and advanced aging. Here, we assessed the link between self-reported SDB and gray matter volume in patients with AD, mild cognitive impairment (MCI) and healthy controls (HCs). We further investigated whether SDB was associated with advanced brain aging. We included a total of 330 participants, divided based on self-reported history of SDB, and matched across diagnoses for age, sex and presence of the Apolipoprotein E4 allele, from the Alzheimer's Disease Neuroimaging Initiative (ADNI). Gray-matter volume was measured using voxel-wise morphometry and group differences in terms of SDB, cognitive status, and their interaction were assessed. Further, using an age-prediction model fitted on gray-matter data of external datasets, we predicted study participants' age from their structural images. Cognitive decline and advanced age were associated with lower gray matter volume in various regions, particularly in the bilateral temporal lobes. Brains age was well predicted from the morphological data in HCs and, as expected, elevated in MCI and particularly in AD subjects. However, there was neither a significant difference between regional gray matter volume in any diagnostic group related to the SDB status, nor in SDB-by-cognitive status interaction. Moreover, we found no difference in estimated chronological age gap related to SDB, or by-cognitive status interaction. Contrary to our hypothesis, we were not able to find a general or a diagnostic-dependent association of SDB with either gray-matter volumetric or brain aging.

Note: Funding informationNIH/NIA'a, Grant/Award Numbers:R21AG055002, R01AG056531,R01AG056031; European Union's Horizon2020 Research and Innovation Programme,Grant/Award Number: 7202070; HelmholtzPortfolio Theme; National Institute of MentalHealth; Deutsche Forschungsgemeinschaft;University of Southern California; NorthernCalifornia Institute for Research and Education;Foundation for the National Institutes ofHealth; Canadian Institutes of HealthResearch; Transition Therapeutics; TakedaPharmaceutical Company; Servier; PiramalImaging; Pfizer Inc; Novartis Pharm aceuticalsCorporation; Neurotrack Technologies;NeuroRx Research; Meso Scale Diag nostics,LLC; Merck & Co., Inc; Lundb eck; Lumosity;Johnson & Johnson PharmaceuticalResearch & Development LLC; JanssenAlzheimer Immunotherapy Research &Development, LLC; IXICO Ltd; GE Healthcare;Fujirebio; Genentech, Inc; F. Hoffmann-LaRoche Ltd; EuroImmun; Eli Lilly and Company;Eisai Inc; Cogstate; CereSpir, Inc; Bristol-MyersSquibb Company; Biogen; Araclon Biotech;BioClinica, Inc; Alzheimer's Drug DiscoveryFoundation; AbbVie, Alzheimer's Associatio n;National Institute of Biomedical Imaging andBioengineering; National Institute on Aging;Department of Defense, Grant/AwardNumber: W81XWH-12-20012; NationalInstitutes of Health, Grant/Award Numbers:R01-MH074457, U01 AG024904; ADNI

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Contributing Institute(s):

1. Gehirn & Verhalten (INM-7)
2. Strukturelle und funktionelle Organisation des Gehirns (INM-1)

Research Program(s):

1. 574 - Theory, modelling and simulation (POF3-574) (POF3-574)

Appears in the scientific report 2020

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