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WMH were quantified on MRI using TrUE-Net in ADNI, AIBL, and OASIS3 with harmonized centiloid PET measures.",{"@graph":14,"@context":73},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/healthcare/","Healthcare",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/differences-in-growth-rates-and-spatial-patterns-of-white-matter-hyperintensities-between-beta-amyloid-burden-and-vascular-risk/459226/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/differences-in-growth-rates-and-spatial-patterns-of-white-matter-hyperintensities-between-beta-amyloid-burden-and-vascular-risk/459226.png","ImageObject",300,407,{"name":42,"@type":43},"Finn","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-11-05","2026-09-30",true,{"@type":52,"interactionType":53,"userInteractionCount":55},"InteractionCounter",{"@type":54},"ViewAction",5,{"@type":57,"mainEntity":58},"FAQPage",[59,65,69],{"name":60,"@type":61,"acceptedAnswer":62},"What relationship between WMH and beta-amyloid was tested in this study?","Question",{"text":63,"@type":64},"The study examined how WMH are longitudinally associated with brain beta-amyloid burden, while also considering co-existent vascular risk factors and brain-region differences.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"How were WMH and vascular risk measured?",{"text":68,"@type":64},"WMH were measured on MRI using the TrUE-Net algorithm. Vascular risk factors from clinical data were used to calculate revised Framingham Stroke Risk Profile (FSRP) scores.",{"name":70,"@type":61,"acceptedAnswer":71},"What did the regional and longitudinal results show?",{"text":72,"@type":64},"Cross-sectionally, both beta-amyloid burden and FSRP related to several WMH regions, while the parietal region was unique to beta-amyloid. Longitudinally, beta-amyloid persistence was limited to parietal WMH, with no regionally specific longitudinal association for FSRP.","https://schema.org",{"og:url":32,"og:type":75,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":77,"canonical":32},"index,follow",{"doc_id":79,"site_id":7},459226,1790755475,{"code":4,"msg":82,"data":83},"success",[84,88,92,96,100,105,109,114,119,122,126],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":85,"show_sort_weight":86,"slug":87},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":89,"show_sort_weight":90,"slug":91},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":93,"show_sort_weight":94,"slug":95},"Exam",70,"exam",{"id":55,"doc_module":4,"doc_module_name":25,"category_name":97,"show_sort_weight":98,"slug":99},"Comic",60,"comic",{"id":101,"doc_module":4,"doc_module_name":25,"category_name":102,"show_sort_weight":103,"slug":104},6,"Technology",50,"technology",{"id":106,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":107,"slug":108},7,40,"healthcare",{"id":110,"doc_module":4,"doc_module_name":25,"category_name":111,"show_sort_weight":112,"slug":113},8,"Research & Report",30,"research-report",{"id":115,"doc_module":4,"doc_module_name":25,"category_name":116,"show_sort_weight":117,"slug":118},9,"Religion & Spirituality",20,"religion-spirituality",{"id":117,"doc_module":4,"doc_module_name":25,"category_name":120,"show_sort_weight":117,"slug":121},"World Cup","world-cup",{"id":123,"doc_module":4,"doc_module_name":25,"category_name":124,"show_sort_weight":123,"slug":125},10,"Lifestyle","lifestyle",{"id":127,"doc_module":4,"doc_module_name":25,"category_name":128,"show_sort_weight":55,"slug":129},19,"General","general",{"code":4,"msg":82,"data":131},{"doc_id":79,"user_id":132,"nickname":42,"user_avatar":133,"doc_module":4,"category_id":106,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":55,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":30,"language":139,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":12,"update_tm":80,"read_time":110,"preview_page_count":4},34359740700684,"https://ap-avatar.wpscdn.com/avatar/1f400023980c374ae676?_k=1777273430885731487","DOI: 10. 1002/alz70856_106165  \nBIOMARKERS  \nPOSTER PRESENTATION  \nNEUROIMAGING  \nDifferences in growth rates and spatial patterns of white matter hyperintensities between beta-amyloid burden and vascular risk  \nJeremy F. Strain1  Maryam Rahmani2 Jingqin Luo5  Christopher J. Owen6 Pierrick Bourgeat 10  Jurgen Fripp 10  \nChia-Ling Phuah3  Donna Dierker4  Andrei G. Vlassenko6, 7, 8, 9  Hussain Jafri6 Liang Jin 11  Krista L. Moulder 12, 13   \nTammie L.S. Benzinger7, 8, 14, 15  Chengjie Xiong 12, 13, 16  Jin-Moo Lee 16   \nMichael W Weiner 17  Colin L Masters 18  John C. Morris 14, 19, 20  Kyle B. Womack6 Manu S. Goyal 1, 7, 8  \n1Washington University in St. Louis School of Medicine, St. Louis, MO, USA  \n2Washington University in St. Louis School of Medicine, St. Louis, MO, USA  \n3 Dignity Health dba Barrow Neurological Institute/St. Joseph’s Hospital & Medical Center, Phoenix, AZ, USA  \n4Washington University School of Medic, St. Louis, MO, USA  \n5 Department of Surgery, Washington University, St. Louis, MO, USA  \n6Washington University School of Medicine, St. Louis, MO, USA  \n7 Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA  \n8 Knight Alzheimer Disease Research Center, St. Louis, MO, USA  \n9 Hope Center for Neurological Disorders, St. Louis, MO, USA  \n10The Australian e-Health Research Centre, CSIRO, Brisbane, QLD, Australia  \n11 Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia  \n12The Charles F. and Joanne Knight Alzheimer Disease Research Center, St. Louis, MO, USA  \n13 Knight Alzheimer’s Disease Research Center, St. Louis, MO, USA  \nAbstract  \nBackground: There is increasing evidence for an association between white matter hyperintensities (WMH) and brain beta-amyloid deposition. WMH are not exclusive correlates of a single etiology, and the spatial topography can associate with different pathologic markers of vascular or neurodegenerative disease. How WMHare longitudinally associated with brain beta-amyloid burden requires further investigation, particularly with respect to co-existent vascular risk factors and differences across brain regions.  \nMethod: We retrospectively measured WMH on MRI and vascular risk factors in a combined neuroimaging data set comprised of the ADNI, AIBL and OASIS3 studies, which included harmonized centiloid estimates of beta-amyloid burden from PET imaging. WMH were measured using the TrUE-Net algorithm. Vascular risk factors were extracted from provided clinical data and used to calculate individual revised Framingham Stroke Risk Profile (FSRP) scores. Five established data-driven WM regions (juxtacortical, deep frontal, periventricular, parietal, posterior) were used for regional relationships with WMH volume and growth. Linear mixed effects modelling was used to determine the relationship between the growth rate of normalized regional WMH volumes and baseline beta-amyloid burden, controlling for age, sex, APOE4 status, and vascular risk factors.  \nResult: 1245 participants [48.7% female, mean age 71.7 y (SD 7.6 y)] had at least 3 brain MRIs suitablefor WMH volume measurement. Linear mixed models demonstrate  \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):e106165.  \n[https://doi.org/10.1002/alz70856_106165](https://doi.org/10.1002/alz70856_106165)  \nwi[leyonlinelibrary.com/journal/alz](leyonlinelibrary.com/journal/alz)  \n1of3  \nBIOMARKERS  \n14 Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, USA  \n15Washington University in St. Louis, St. Louis, MO, USA  \n16Washington University School of Medicine in St. Louis, St. Louis, MO, USA  \n17 University ","cbCaifgIkhZXobf4","https://ap.wps.com/l/cbCaifgIkhZXobf4","pdf",1132075,"English","# Abstract\n## Background\n## Method\n## Result\n## Conclusion","[{\"question\":\"What relationship between WMH and beta-amyloid was tested in this study?\",\"answer\":\"The study examined how WMH are longitudinally associated with brain beta-amyloid burden, while also considering co-existent vascular risk factors and brain-region differences.\"},{\"question\":\"How were WMH and vascular risk measured?\",\"answer\":\"WMH were measured on MRI using the TrUE-Net algorithm. Vascular risk factors from clinical data were used to calculate revised Framingham Stroke Risk Profile (FSRP) scores.\"},{\"question\":\"What did the regional and longitudinal results show?\",\"answer\":\"Cross-sectionally, both beta-amyloid burden and FSRP related to several WMH regions, while the parietal region was unique to beta-amyloid. Longitudinally, beta-amyloid persistence was limited to parietal WMH, with no regionally specific longitudinal association for FSRP.\"}]","Differences in growth rates and spatial patterns of white matter hyperintensities between beta-amyloid burden and vascular risk | PDF"]