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Regional deep (DWMH) and periventricular (PWMH) WMH loads were determined using an automated algorithm. We stratified on A\u03b21-42 pathology (A\u03b2+\/\u2212) and analyzed group differences, as well as associations with Framingham Risk Score for cardiovascular disease (FRS-CVD) and age. Occipital PWMH ( p\u2009=\u20090.001) and occipital DWMH ( p\u2009=\u20090.003) loads were increased in SCD-A\u03b2+ compared with A\u03b2\u2212 controls. In MCI-A\u03b2+ compared with A\u03b2\u2212 controls, there were differences in global WMH ( p\u2009=\u20090.003), as well as occipital DWMH ( p\u2009=\u20090.001) and temporal DWMH ( p\u2009=\u20090.002) loads. FRS-CVD was associated with frontal PWMHs ( p\u2009=\u20090.003) and frontal DWMHs ( p\u2009=\u20090.005), after adjusting for age. There were associations between global and all regional WMH loads and age. In summary, posterior WMH loads were increased in SCD-A\u03b2+ and MCI-A\u03b2+ cases, whereas frontal WMHs were associated with vascular risk. The differences in WMH topography support the use of regional WMH load as an early-stage marker of etiology.<\/jats:p>","DOI":"10.1177\/0271678x20957604","type":"journal-article","created":{"date-parts":[[2020,9,21]],"date-time":"2020-09-21T14:02:35Z","timestamp":1600696955000},"page":"1162-1174","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":79,"title":["Brain amyloid and vascular risk are related to distinct white matter hyperintensity patterns"],"prefix":"10.1177","volume":"41","author":[{"given":"Lene","family":"P\u00e5lhaugen","sequence":"first","affiliation":[{"name":"Department of Neurology, Akershus University Hospital, L\u00f8renskog, Norway"},{"name":"Institute of Clinical Medicine, University of Oslo, Oslo, Norway"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carole H","family":"Sudre","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering and Imaging 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