Open AccessGray matter volume and estimated brain age gap are not linked with sleep‐disordered breathing
Author(s) -
Mohajer Bahram,
Abbasi Nooshin,
Mohammadi Esmaeil,
Khazaie Habibolah,
Osorio Ricardo S.,
Rosenzweig Ivana,
Eickhoff Claudia R.,
Zarei Mojtaba,
Tahmasian Masoud,
Eickhoff Simon B.
Publication year - 2020
Publication title -
human brain mapping
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.005
H-Index - 191
eISSN - 1097-0193
pISSN - 1065-9471
DOI - 10.1002/hbm.24995
Subject(s) - voxel based morphometry , neuroimaging , grey matter , gray (unit) , psychology , brain size , effects of sleep deprivation on cognitive performance , audiology , voxel , cognitive decline , alzheimer's disease , cognition , medicine , magnetic resonance imaging , white matter , neuroscience , dementia , disease , nuclear medicine , radiology
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.