Journal
STROKE
Volume 39, Issue 4, Pages 1127-1133Publisher
LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1161/STROKEAHA.107.497438
Keywords
Alzheimer disease; cerebral amyloid angiopathy; magnetic resonance imaging; perfusion; white-matter hyperintensities
Categories
Funding
- NCRR NIH HHS [P41 RR013218, P41 RR013218-010009, P41 RR13218-01] Funding Source: Medline
- NIA NIH HHS [P01 AG004953-210006, R01 AG026484-04, P01 AG004953-190006, P01 AG004953, R01 AG026484-03, R01 AG026484-02, P01 AG004953-200006, R01 AG026484-01, P01 AG004953-220006, R01 AG026484-05, P01 AG04953, P01 AG004953-230006, R01 AG026484] Funding Source: Medline
- NINDS NIH HHS [F30 NS049808, F30 NS049808-02, K24 NS056207-01, K24 NS056207, K24 NS056207-02, K24 NS056207-03, F30 NS049808-03, F30 NS049808-01A2, K24 NS056207-04] Funding Source: Medline
Ask authors/readers for more resources
Background and Purpose - White-matter hyperintensities (WMHs) detected by magnetic resonance imaging are thought to represent the effects of cerebral small-vessel disease and neurodegenerative changes. We sought to determine whether the spatial distribution of WMHs discriminates between different disease groups and healthy aging individuals and whether these distributions are related to local cerebral perfusion patterns. Methods - We examined the pattern of WMHs by T2/fluid-attenuated inversion recovery-weighted magnetic resonance imaging in 3 groups of subjects: cerebral amyloid angiopathy (n = 32), Alzheimer disease or mild cognitive impairment (n = 41), and healthy aging (n = 29). WMH frequency maps were calculated for each group, and spatial distributions were compared by voxel-wise logistic regression. WMHs were also analyzed as a function of normal cerebral perfusion patterns by overlaying a single photon emission computed tomography atlas. Results - Although WMH volume was greater in cerebral amyloid angiopathy and Alzheimer disease/mild cognitive impairment than in healthy aging, there was no consistent difference in the spatial distributions when controlling for total WMH volume. Hyperintensities were most frequent in the deep periventricular WM in all 3 groups. A strong inverse correlation between hyperintensity frequency and normal perfusion was demonstrated in all groups, demonstrating that WMHs were most common in regions of relatively lower normal cerebral perfusion. Conclusions - WMHs show a common distribution pattern and predilection for cerebral WM regions with lower atlas-derived perfusion, regardless of the underlying diagnosis. These data suggest that across diverse disease processes, WM injury may occur in a pattern that reflects underlying tissue properties, such as relative perfusion.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available