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Brain amyloid and vascular risk are related to distinct white matter hyperintensity patterns

Permanent link
https://hdl.handle.net/10037/19891
DOI
https://doi.org/10.1177/0271678X20957604
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Date
2020-09-21
Type
Journal article
Tidsskriftartikkel
Peer reviewed

Author
Pålhaugen, Lene; Sudre, Carole H; Teceläo, Sandra Raquel Ramos; Nakling, Arne; Almdahl, Ina Selseth; Kalheim, Lisa Flem; Cardoso, M Jorge; Johnsen, Stein Harald; Rongve, Arvid; Aarsland, Dag; Bjørnerud, Atle; Selnes, Per; Fladby, Tormod
Abstract
White matter hyperintensities (WMHs) are associated with vascular risk and Alzheimer’s disease. In this study, we examined relations between WMH load and distribution, amyloid pathology and vascular risk in 339 controls and cases with either subjective (SCD) or mild cognitive impairment (MCI). Regional deep (DWMH) and periventricular (PWMH) WMH loads were determined using an automated algorithm. We stratified on Aβ1-42 pathology (Aβ+/−) and analyzed group differences, as well as associations with Framingham Risk Score for cardiovascular disease (FRS-CVD) and age. Occipital PWMH (p = 0.001) and occipital DWMH (p = 0.003) loads were increased in SCD-Aβ+ compared with Aβ− controls. In MCI-Aβ+ compared with Aβ− controls, there were differences in global WMH (p = 0.003), as well as occipital DWMH (p = 0.001) and temporal DWMH (p = 0.002) loads. FRS-CVD was associated with frontal PWMHs (p = 0.003) and frontal DWMHs (p = 0.005), 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-Aβ+ and MCI-Aβ+ 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.
Publisher
SAGE Publications
Citation
Pålhaugen, Sudre, Teceläo, Nakling, Almdahl, Kalheim, Cardoso, Johnsen, Rongve, Aarsland, Bjørnerud, Selnes, Fladby. Brain amyloid and vascular risk are related to distinct white matter hyperintensity patterns. Journal of Cerebral Blood Flow and Metabolism. 2020:1-13
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