Mapping the relationships between structural brain MRI characteristics and sleep electroencephalography patterns: the Multi-Ethnic Study of atherosclerosis

While brain morphology is well-established as a key factor influencing overall brain function, little is known about how brain structural properties are associated with oscillatory activity, particularly during sleep. In this study, we analyzed whole-night sleep electroencephalography (EEG) and brain structural MRI data from a subset of 621 individuals in the Multi-Ethnic Study of Atherosclerosis to explore the relationship between brain structure and sleep EEG properties. We found that larger total white matter (WM) volume was associated with higher absolute broad-band power, regardless of sleep stage, likely reflecting WM contribution to enhanced synchronization across cortical regions and reduced activation attenuation via long-range myelinated fibers. Additionally, both WM fractional anisotropy and thalamic volume showed a negative association with relative slow power and a positive association with delta power during non-rapid eye movement sleep. This was mirrored in the duration of slow oscillations, both overall and when divided into slow-switching and fast-switching types, with their ratio additionally linked to total WM volume. Furthermore, we observed strong but largely independent effects of age and sex on sleep EEG and structural magnetic resonance imaging (MRI) metrics, suggesting that sleep EEG captures aging processes and sex-specific features that extend beyond the macro-scale brain morphology changes examined here. Overall, these findings deepen our understanding of how structural brain properties influence sleep-related oscillatory activity.

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Publication Details

Journal
SLEEP
Published
2025-04-17
DOI
https://doi.org/10.1093/sleep/zsaf074
Citations
1
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
1.43
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article

Mapping the relationships between structural brain MRI characteristics and sleep electroencephalography patterns: the Multi-Ethnic Study of atherosclerosis

Mohamad Habes, Susan R. Heckbert, Suzanne M. Bertisch, Ilya M. Nasrallah et al.
1 citations
SLEEP
Neural dynamics and brain function
1.43
article

Mapping the relationships between structural brain MRI characteristics and sleep electroencephalography patterns: the Multi-Ethnic Study of atherosclerosis

Mohamad Habes, Susan R. Heckbert, Suzanne M. Bertisch, Ilya M. Nasrallah, Caitlin Paquet, Alison E. Fohner, Nataliia Kozhemiako, Susan Redline, Shaun Purcell, Timothy M. Hughes, Cecilia Castro‐Diehl, R. Nick Bryan
article en
1 citations

Abstract

While brain morphology is well-established as a key factor influencing overall brain function, little is known about how brain structural properties are associated with oscillatory activity, particularly during sleep. In this study, we analyzed whole-night sleep electroencephalography (EEG) and brain structural MRI data from a subset of 621 individuals in the Multi-Ethnic Study of Atherosclerosis to explore the relationship between brain structure and sleep EEG properties. We found that larger total white matter (WM) volume was associated with higher absolute broad-band power, regardless of sleep stage, likely reflecting WM contribution to enhanced synchronization across cortical regions and reduced activation attenuation via long-range myelinated fibers. Additionally, both WM fractional anisotropy and thalamic volume showed a negative association with relative slow power and a positive association with delta power during non-rapid eye movement sleep. This was mirrored in the duration of slow oscillations, both overall and when divided into slow-switching and fast-switching types, with their ratio additionally linked to total WM volume. Furthermore, we observed strong but largely independent effects of age and sex on sleep EEG and structural magnetic resonance imaging (MRI) metrics, suggesting that sleep EEG captures aging processes and sex-specific features that extend beyond the macro-scale brain morphology changes examined here. Overall, these findings deepen our understanding of how structural brain properties influence sleep-related oscillatory activity.

SLEEPVol. 48(8)
Brigham and Women's Hospital (US), Harvard University (US), The University of Texas at San Antonio Health Science Center (US), University of Washington (US), Institute for Neurodegenerative Disorders (US), Laboratoire d’Imagerie Biomédicale (FR), Wake Forest University (US), University of Pennsylvania (US)
Good health and well-being
Openalex Percentile: Top 21%
Neural dynamics and brain function
1.43
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