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December 22, 2020Article

Slow-wave Sleep and MRI Markers of Brain Aging in a Community-based Sample

Andree-Ann Baril, Alexa S Beiser, Vincent Mysliwiec, Erlan Sanchez, Charles S DeCarli, Susan Redline, Daniel J Gottlieb, Pauline Maillard, Jose Rafael Romero, Claudia L Satizabal, Jared M Zucker, Sudha Seshadri, Matthew P Pase, Jayandra J Himali
First published December 22, 2020, DOI: https://doi.org/10.1212/WNL.0000000000011377
Andree-Ann Baril
1The Framingham Heart Study, Framingham & Department of Neurology, Boston University School of Medicine, Boston
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Alexa S Beiser
2The Framingham Heart Study, Framingham & Department of Neurology, Boston University School of Medicine, Boston & Department of Biostatistics, Boston University School of Public Health, Boston
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Vincent Mysliwiec
3Glenn Biggs Institute for Alzheimers & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio
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Erlan Sanchez
4Centre for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS-NIM, Montreal & Department of Neuroscience, Université de Montréal, Montreal
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Charles S DeCarli
5Department of Neurology, University of California, Davis, California
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Susan Redline
6Division of Sleep and Circadian Disorders, Brigham & Womens Hospital, Boston & Beth Israel Deaconess Medical Center, Harvard Medical School, Boston
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Daniel J Gottlieb
7Division of Sleep and Circadian Disorders, Brigham & Womens Hospital, Boston & Harvard Medical School, Boston & VA Boston Healthcare System, Boston
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Pauline Maillard
8Department of Neurology, School of Medicine and Imaging of Dementia and Aging Laboratory, Center for Neuroscience, University of California, Davis, Sacramento
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Jose Rafael Romero
9The Framingham Heart Study, Framingham
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Claudia L Satizabal
10The Framingham Heart Study, Framingham & Department of Neurology, Boston University School of Medicine, Boston & Glenn Biggs Institute for Alzheimers & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio & Department of Neurology, University of Texas Health Science Center, San Antonio
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Jared M Zucker
11The Framingham Heart Study, Framingham
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Sudha Seshadri
12The Framingham Heart Study, Framingham & Department of Neurology, Boston University School of Medicine, Boston & Glenn Biggs Institute for Alzheimers & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio & Department of Neurology, University of Texas Health Science Center, San Antonio
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Matthew P Pase
13Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, VIC & Harvard T.H. Chan School of Public Health
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Jayandra J Himali
14The Framingham Heart Study, Framingham & Department of Neurology, Boston University School of Medicine, Boston & Department of Biostatistics, Boston University School of Public Health, Boston & Glenn Biggs Institute for Alzheimers & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio & Department of Population Health Sciences, University of Texas Health Science Center, San Antonio
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Citation
Slow-wave Sleep and MRI Markers of Brain Aging in a Community-based Sample
Andree-Ann Baril, Alexa S Beiser, Vincent Mysliwiec, Erlan Sanchez, Charles S DeCarli, Susan Redline, Daniel J Gottlieb, Pauline Maillard, Jose Rafael Romero, Claudia L Satizabal, Jared M Zucker, Sudha Seshadri, Matthew P Pase, Jayandra J Himali
Neurology Dec 2020, 10.1212/WNL.0000000000011377; DOI: 10.1212/WNL.0000000000011377

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Abstract

Objective: To test the hypothesis that reduced slow-wave sleep, or N3 sleep, which is thought to underlie the restorative functions of sleep, is associated with MRI markers of brain aging, we evaluated this relationship in the community-based Framingham Heart Study Offspring cohort using polysomnography and brain MRI.

Methods: We studied 492 participants (58.8 ± 8.8 years, 49.4% male) free of neurological diseases who completed a brain MRI scan and in-home overnight polysomnography to assess slow-wave sleep (absolute duration and percentage of total sleep). Volumes of total brain, total cortical, frontal cortical, subcortical gray matter, hippocampus, and white matter hyperintensities were investigated as a percentage of intracranial volume and the presence of covert brain infarcts was evaluated. Linear and logistic regression models were adjusted for age, age squared, sex, time interval between polysomnography and MRI (3.3 ± 1.0 years), APOE4 carrier status, stroke risk factors, sleeping pill use, body mass index and depression.

Results: Less slow-wave sleep was associated with lower cortical brain volume (absolute duration, β[standard error]: 0.20[0.08], p=0.015; percentage, 0.16[0.08], p=0.044), lower subcortical brain volume (percentage, 0.03[0.02], p=0.034), and higher white matter hyperintensities volume (absolute duration, -0.12[0.05], p=0.010; percentage -0.10[0.04], p=0.033). Slow-wave sleep duration was not associated with hippocampal volume or the presence of covert brain infarcts.

Conclusion: Loss of slow-wave sleep might facilitate accelerated brain aging, as evidence by its association with MRI markers suggestive of brain atrophy and injury. Alternatively, subtle injuries and accelerated aging might reduce the ability of the brain to produce slow-wave sleep.

  • © 2020 American Academy of Neurology

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