Emma Nolan, Yunyi Sun, Hui Shi, Derek Archer, Arden Perry, Kimberly Pechman, Niranjana Shashikumar, Bennett Landman, Marissa Gogniat, Dandan Liu, Panpan Zhang, Timothy J. Hohman, Angela L. Jefferson, Kelsie M. Full
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Cross-sectional linear regression models were adjusted for sociodemographic and lifestyle factors, depression, cognitive status, and cardiovascular risk. ROI and McEvoy models were adjusted for total intracranial volume.</p>\n </section>\n \n <section>\n \n <h3> RESULTS</h3>\n \n <p>Greater sleep irregularity (<i>β</i><sub>Hippocampus </sub>= −0.12, <i>p</i> = 0.005; <i>β</i><sub>McEvoy </sub>= −0.07, <i>p</i> = 0.024) and longer awakening length (<i>β</i><sub>Hippocampus </sub>= −0.11, <i>p</i> = 0.009; <i>β</i><sub>Parietal </sub>= −0.08, <i>p</i> = 0.012) were associated with smaller volumes in ROIs related to AD.</p>\n </section>\n \n <section>\n \n <h3> DISCUSSION</h3>\n \n <p>More irregular and fragmented sleep was associated with smaller volume in ROIs vulnerable to AD, indicating a potential link between poor sleep and neurodegeneration.</p>\n </section>\n \n <section>\n \n <h3> Highlights</h3>\n \n <div>\n <ul>\n \n <li>Associations between sleep and brain health are poorly understood.</li>\n \n <li>Gray matter atrophy by irregular sleep may imply Alzheimer's disease (AD) decline.</li>\n \n <li>Increased sleep irregularity is associated with smaller brain region volume.</li>\n \n <li>Sleep disruption, estimated by awakening length, is linked to AD-related brain volume.</li>\n </ul>\n </div>\n </section>\n </div>","PeriodicalId":7471,"journal":{"name":"Alzheimer's & Dementia","volume":"21 6","pages":""},"PeriodicalIF":13.0000,"publicationDate":"2025-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/alz.70364","citationCount":"0","resultStr":"{\"title\":\"The association between poor sleep health and Alzheimer's disease structural neuroimaging biomarkers\",\"authors\":\"Emma Nolan, Yunyi Sun, Hui Shi, Derek Archer, Arden Perry, Kimberly Pechman, Niranjana Shashikumar, Bennett Landman, Marissa Gogniat, Dandan Liu, Panpan Zhang, Timothy J. 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The association between poor sleep health and Alzheimer's disease structural neuroimaging biomarkers
INTRODUCTION
Poor sleep may be a risk factor for neurodegeneration and Alzheimer's disease (AD). Few studies have examined objectively measured sleep with structural neuroimaging measures.
METHODS
Vanderbilt Memory and Aging Project participants (N = 407; median age: 70 years) wore ActiGraph accelerometers for 10 days to estimate sleep regularity, timing, efficiency, duration, wake-after-sleep onset, and awakening length. Volume in brain regions of interest (ROIs) and AD signatures were quantified using 3T brain magnetic resonance imaging (MRI). Cross-sectional linear regression models were adjusted for sociodemographic and lifestyle factors, depression, cognitive status, and cardiovascular risk. ROI and McEvoy models were adjusted for total intracranial volume.
RESULTS
Greater sleep irregularity (βHippocampus = −0.12, p = 0.005; βMcEvoy = −0.07, p = 0.024) and longer awakening length (βHippocampus = −0.11, p = 0.009; βParietal = −0.08, p = 0.012) were associated with smaller volumes in ROIs related to AD.
DISCUSSION
More irregular and fragmented sleep was associated with smaller volume in ROIs vulnerable to AD, indicating a potential link between poor sleep and neurodegeneration.
Highlights
Associations between sleep and brain health are poorly understood.
Gray matter atrophy by irregular sleep may imply Alzheimer's disease (AD) decline.
Increased sleep irregularity is associated with smaller brain region volume.
Sleep disruption, estimated by awakening length, is linked to AD-related brain volume.
期刊介绍:
Alzheimer's & Dementia is a peer-reviewed journal that aims to bridge knowledge gaps in dementia research by covering the entire spectrum, from basic science to clinical trials to social and behavioral investigations. It provides a platform for rapid communication of new findings and ideas, optimal translation of research into practical applications, increasing knowledge across diverse disciplines for early detection, diagnosis, and intervention, and identifying promising new research directions. In July 2008, Alzheimer's & Dementia was accepted for indexing by MEDLINE, recognizing its scientific merit and contribution to Alzheimer's research.