Gray matter volume and estimated brain age gap are not linked with sleep-disordered breathing.
Alzheimer's Disease Neuroimaging Initiative
Alzheimer's disease
age prediction
gray matter
mild cognitive impairment
sleep-disordered breathing
Journal
Human brain mapping
ISSN: 1097-0193
Titre abrégé: Hum Brain Mapp
Pays: United States
ID NLM: 9419065
Informations de publication
Date de publication:
01 08 2020
01 08 2020
Historique:
received:
02
10
2019
revised:
29
02
2020
accepted:
09
03
2020
pubmed:
3
4
2020
medline:
11
11
2021
entrez:
3
4
2020
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 32239749
doi: 10.1002/hbm.24995
pmc: PMC7336142
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
3034-3044Subventions
Organisme : NIA NIH HHS
ID : P30 AG066512
Pays : United States
Organisme : NIH HHS
ID : U01 AG024904
Pays : United States
Organisme : CIHR
Pays : Canada
Organisme : NIH/NIA'a
ID : R21AG055002
Organisme : NIA NIH HHS
ID : R01 AG056531
Pays : United States
Organisme : NIH/NIA'a
ID : R01AG056031
Organisme : NIH HHS
ID : R01-MH074457
Pays : United States
Informations de copyright
© 2020 The Authors. Human Brain Mapping published by Wiley Periodicals, Inc.
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