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- W4385514994 abstract "Abstract Background and purpose Cerebral small vessel disease (SVD) has been suggested to contribute to the pathogenesis of Alzheimer's disease (AD). Yet, the role of SVD in potentially contributing to AD pathology is unclear. The main objective of this study was to test the hypothesis that WMHs influence amyloid β (Aβ) levels within connected default mode network (DMN) tracts and cortical regions in cognitively unimpaired older adults. Methods Regional standard uptake value ratios (SUVr) from Aβ‐PET and white matter hyperintensity (WMH) volumes from three‐dimensional magnetic resonance imaging FLAIR images were analyzed across a sample of 72 clinically unimpaired (mini‐mental state examination ≥26), older adults (mean age 74.96 and standard deviation 8.13) from the Alzheimer's Disease Neuroimaging Initiative (ADNI3). The association of WMH volumes in major fiber tracts projecting from cortical DMN regions and Aβ‐PET SUVr in the connected cortical DMN regions was analyzed using linear regression models adjusted for age, sex, ApoE, and total brain volumes. Results The regression analyses demonstrate that increased WMH volumes in the superior longitudinal fasciculus were associated with increased regional SUVr in the inferior parietal lobule ( p = .011). Conclusion The findings suggest that the relation between Aβ in parietal cortex is associated with SVD in downstream white matter (WM) pathways in preclinical AD. The biological relationships and interplay between Aβ and WM microstructure alterations that precede overt WMH development across the continuum of AD progression warrant further study." @default.
- W4385514994 created "2023-08-04" @default.
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- W4385514994 date "2023-08-03" @default.
- W4385514994 modified "2023-09-23" @default.
- W4385514994 title "White matter hyperintensities influence distal cortical β‐amyloid accumulation in default mode network pathways" @default.
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- W4385514994 doi "https://doi.org/10.1002/brb3.3209" @default.
- W4385514994 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37534614" @default.
- W4385514994 hasPublicationYear "2023" @default.
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