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Gray Matter Volume and Estimated Brain Age Gap Are Not Linked With Sleep-Disordered Breathing Publisher Pubmed



Mohajer B1, 2 ; Abbasi N3 ; Mohammadi E1, 2 ; Khazaie H4 ; Osorio RS5, 6 ; Rosenzweig I7, 8 ; Eickhoff CR9 ; Zarei M1 ; Tahmasian M1 ; Eickhoff SB9
Authors
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Authors Affiliations
  1. 1. Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran
  2. 2. Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
  4. 4. Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
  5. 5. Department of Psychiatry, Center for Brain Health, NYU Langone Medical Center, New York, NY, United States
  6. 6. Nathan S. Kline Institute for Psychiatric Research, New York, NY, United States
  7. 7. Sleep Disorders Centre, Guy's and St Thomas' Hospital, GSTT NHS, London, United Kingdom
  8. 8. Sleep and Brain Plasticity Centre, Department of Neuroimaging, IOPPN, King's College London, London, United Kingdom
  9. 9. Institute of Neuroscience and Medicine (INM-1
  10. 10. INM-7), Research Center Julich, Julich, Germany
  11. 11. Institute of Clinical Neuroscience and Medical Psychology, Heinrich Heine University, Dusseldorf, Germany
  12. 12. Institute of Systems Neuroscience, Medical Faculty, Heinrich-Heine University, Dusseldorf, Germany

Source: Human Brain Mapping Published:2020


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. © 2020 The Authors. Human Brain Mapping published by Wiley Periodicals, Inc.
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