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Method: The HABS-HD Dormir Study enrolled non-Hispanic White, Hispanic, and Black participants with in-home sleep apnea assessment (WatchPAT) and brain MRI; sleep stages used a validated algorithm. Outcomes were AD-signature cortical thickness and white matter hyperintensities (WMH) volume. Result: Light sleep percentage and longer REM sleep latency related to thinner AD-signature cortex; deep sleep showed the opposite pattern. Higher AHI in REM and lower oxygen saturation (\u003C94%) related to greater WMH. No ethnoracial interactions were found. Conclusion: Light/deep sleep features, REM latency, and nocturnal hypoxemia associate with AD-related MRI patterns.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/sleep-macro-architecture-nocturnal-hypoxemia-and-alzheimers-disease-related-mri-patterns-among-diverse-older-adults/455757/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/sleep-macro-architecture-nocturnal-hypoxemia-and-alzheimers-disease-related-mri-patterns-among-diverse-older-adults/455757.png","ImageObject",300,407,{"name":92,"@type":93},"Mia  ","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-07","2026-09-30",true,{"@type":102,"interactionType":103,"userInteractionCount":39},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What neuroimaging and sleep outcomes were evaluated in the study?","Question",{"text":112,"@type":113},"The study assessed AD-signature cortical thickness across predefined regions and white matter hyperintensities (WMH) volume, alongside sleep macro-architecture and nocturnal hypoxemia measures from in-home sleep apnea testing.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"Which sleep measures were linked to thinner Alzheimer’s Disease-related cortical regions?",{"text":117,"@type":113},"Greater light sleep percentage and longer REM sleep latency were independently associated with thinner cortex in AD-signature regions.",{"name":119,"@type":110,"acceptedAnswer":120},"How was nocturnal hypoxemia related to white matter hyperintensities?",{"text":121,"@type":113},"Higher AHI in REM sleep and mean oxygen saturation below 94% were independently associated with greater WMH volume, with no ethnoracial interactions reported for these associations.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},455757,1790791748,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":34,"category_name":35,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":39,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":81,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":39,"preview_page_count":4},687207024478,"https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd","DOI: 10. 1002/alz70856_104647  \nBIOMARKERS  \nPOSTER PRESENTATION  \nNEUROIMAGING  \nSleep macro-architecture, nocturnal hypoxemia, and Alzheimer’s Disease-related MRI patterns among diverse older adults  \nDillys Xiaodi Liu1  Meredith N. Braskie2  Clémence Cavaillès 1  Carrie B. Peltz3  Susan Redline4  Kristine Yaffe5  \n1 Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA  \n2 Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA  \n3 NCIRE-The Veterans Health Research Institute, San Francisco, CA, USA  \n4 Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA  \n5 Department of Psychiatry, Neurology, and Epidemiology and Biostatistics University of California San Francisco School of Medicine, San Francisco, CA, USA  \nCorrespondence  \nDillys Xiaodi Liu, Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA.  \n[Email:](Email: dillys.liu@ucsf.edu)[ dillys.liu@ucsf.edu](Email: dillys.liu@ucsf.edu)  \nAbstract  \nBackground: Increasing evidence has linked sleep quality and sleep apnea to poorer brain health, yet the association between sleep macro-architecture, nocturnal hypoxemia and Alzheimer’s Disease (AD)-related patterns on neuroimaging remains less known, especially across older adults from diverse ethnoracial groups.  \nMethod: The recently completed Health and Aging Brain Study-Health Disparities (HABS-HD)-Dormir Study recruited community-dwelling non-Hispanic White (NHW), Hispanic, and Black participants who underwent an in-home sleep apnea assessment (WatchPAT, Itamar, IS) and brain magnetic resonance imaging (MRI) to evaluate sleep and AD-related MRI biomarkers. Sleep stages were estimated using a validated proprietary algorithm. Our primary outcomes are AD-signature cortical thickness (in individual regions of interests, including entorhinal cortex, fusiform gyrus, inferior temporal gyrus, and middle temporal gyrus, N = 636) and white matter hyperintensities (WMH) volume [log(WMH+ 1), normalized by intracranial volume, and categorized into tertiles, N = 842]. We applied multivariable linear or ordinal regression models adjusting for age, sex, ethnicity, education, body mass index, cognitive status, smoking, alcohol consumption, and MRI scanner.  \nResult: A total of 842 elderly participants [34% male; 42% NHW, 33% Hispanic and 25% Black; age 66.18. 6 years] were included in the final analysis. Greater light sleep percentage and longer REM sleep latency were independently associated with thinner cortex in AD-signature regions: standardized βlight sleep percentage per 1-SD increase = -0. 12 [95% confidence interval (95%CI), -0. 19 to-0.05, false discovery rate (FDR)-adjusted p = 0.007], βREM sleep latency per 1-SD increase = -0.14 (95%CI, -0.21 to -0.07, p\u003C0.001); while inverse pattern was observed for deep sleep percentage:βdeep sleep percentage per 1-SD increase = 0.12 (95%CI, 0.05 to 0.19, p = 0.006) (Figure  \nThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.  \n© 2025 The Alzheimer’s Association. Alzheimer’s & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer’s Association.  \nAlzheimer’s Dement. 2025;21(Suppl. 2):e104647.  \n[https://doi.org/10.1002/alz70856_104647](https://doi.org/10.1002/alz70856_104647)  \nwi[leyonlinelibrary.com/journal/alz](leyonlinelibrary.com/journal/alz)  \n1of3  \nBIOMARKERS  \n1). Higher AHI in REM sleep and mean oxygen saturation\u003C94%(the median value of study sample) were independently associated with greater WMH volume: odds ratioAHI in REM sleep per 1-SD increase = 1.18 (95%CI, 1.02 to 1.36, p = 0.048), odds ratiomean oxygen saturation\u003C94% per 1-SD increase = 1.38 (95%CI, 1.04 to 1.83, p","cbCaiu9LSa8DXE6g","https://ap.wps.com/l/cbCaiu9LSa8DXE6g","pdf",1222631,"English","# Background\n# Method\n# Result\n# Conclusion","[{\"question\":\"What neuroimaging and sleep outcomes were evaluated in the study?\",\"answer\":\"The study assessed AD-signature cortical thickness across predefined regions and white matter hyperintensities (WMH) volume, alongside sleep macro-architecture and nocturnal hypoxemia measures from in-home sleep apnea testing.\"},{\"question\":\"Which sleep measures were linked to thinner Alzheimer’s Disease-related cortical regions?\",\"answer\":\"Greater light sleep percentage and longer REM sleep latency were independently associated with thinner cortex in AD-signature regions.\"},{\"question\":\"How was nocturnal hypoxemia related to white matter hyperintensities?\",\"answer\":\"Higher AHI in REM sleep and mean oxygen saturation below 94% were independently associated with greater WMH volume, with no ethnoracial interactions reported for these associations.\"}]","Sleep macro-architecture, nocturnal hypoxemia, and Alzheimer’s Disease-related MRI patterns among diverse older adults | PDF",1790744262]