Self-reported sleepiness associates with greater brain and cortical volume and lower prevalence of ischemic covert brain infarcts in a community sample

Author:

Baril Andrée-Ann12ORCID,Beiser Alexa S134,DeCarli Charles5,Himali Dibya1,Sanchez Erlan6,Cavuoto Marina7,Redline Susan89,Gottlieb Daniel J8910ORCID,Seshadri Sudha1311,Pase Matthew P1712,Himali Jayandra J1341113

Affiliation:

1. The Framingham Heart Study , Framingham, MA , USA

2. Douglas Mental Health University Institute, McGill University , Montreal, QC , Canada

3. Department of Neurology, Boston University School of Medicine , Boston, MA , USA

4. Department of Biostatistics, Boston University School of Public Health , Boston, MA , USA

5. Department of Neurology, University of California , Davis, CA , USA

6. Sunnybrook Research Institute, University of Toronto , Toronto, ON , Canada

7. Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University , VIC , Australia

8. Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital , Boston, MA , USA

9. Division of Sleep Medicine, Harvard Medical School , Boston, MA , USA

10. VA Boston Healthcare System , Boston, MA , USA

11. Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Sciences Center , San Antonio, TX , USA

12. Harvard T.H. Chan School of Public Health , MA , USA

13. Department of Population Health Sciences, University of Texas Health Science Center , San Antonio, TX , USA

Abstract

Abstract Study Objectives We evaluated if self-reported sleepiness was associated with neuroimaging markers of brain aging and ischemic damage in a large community-based sample. Methods Participants from the Framingham Heart Study Offspring cohort (n = 468, 62.5 ± 8.7 years old, 49.6%M) free of dementia, stroke, and neurological diseases, completed sleep questionnaires and polysomnography followed by magnetic resonance imaging (MRI), 3 years later on average. We used linear and logistic regression models to evaluate the associations between Epworth Sleepiness Scale (ESS) scores and total brain, cortical and subcortical gray matter, and white matter hyperintensities volumes, and the presence of covert brain infarcts. Results Higher sleepiness scores were associated with larger total brain volume, greater cortical gray matter volume, and a lower prevalence of covert brain infarcts, even when adjusting for a large array of potential confounders, including demographics, sleep profiles and disorders, organic health diseases, and proxies for daytime cognitive and physical activities. Interactions indicated that more sleepiness was associated with larger cortical gray matter volume in men only and in APOE ε4 noncarriers, whereas a trend for smaller cortical gray matter volume was observed in carriers. In longitudinal analyses, those with stable excessive daytime sleepiness over time had greater total brain and cortical gray matter volumes, whereas baseline sleepiness scores were not associated with subsequent atrophy or cognitive decline. Conclusion Our findings suggest that sleepiness is not necessarily a marker of poor brain health when not explained by diseases or sleep debt and sleep disorders. Rather, sleepiness could be a marker of preserved sleep-regulatory processes and brain health in some cases.

Funder

National Institutes of Health

National Institute on Aging

National Heart, Lung, and Blood Institute

National Heart Foundation of Australia

National Health and Medical Research Council

Alzheimer’s Association

Publisher

Oxford University Press (OUP)

Subject

Physiology (medical),Neurology (clinical)

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