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Published Online
on February 21, 2008

Stroke. 2008
Published online before print February 21, 2008, doi: 10.1161/STROKEAHA.107.497438
A more recent version of this article appeared on April 1, 2008
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Submitted on June 22, 2007
Revised on July 22, 2007
Accepted on August 15, 2007

Spatial Distribution of White-Matter Hyperintensities in Alzheimer Disease, Cerebral Amyloid Angiopathy, and Healthy Aging

Christopher M. Holland BS; Eric E. Smith MD; Istvan Csapo BS; Mahmut Edip Gurol MD; Douglas A. Brylka MD; Ronald J. Killiany PhD; Deborah Blacker MD, ScD; Marilyn S. Albert PhD; Charles R.G. Guttmann MD*; and Steven M. Greenberg MD, PhD

From the Center for Neurological Imaging (C.M.H., I.C., D.A.B., R.J.K., C.R.G.G.), Brigham and Women's Hospital and Harvard Medical School; the Department of Anatomy and Neurobiology (C.M.H., R.J.K.), Boston University School of Medicine; the Neurology Clinical Trial Unit and Department of Neurology (E.E.S., M.E.G., S.M.G.), Massachusetts General Hospital and Harvard Medical School; and the Department of Psychiatry (R.J.K., D.B.), Massachusetts General Hospital and Harvard Medical School, Boston, Mass; and the Department of Neurology (M.S.A.), Johns Hopkins University School of Medicine, Baltimore, Md.

* To whom correspondence should be addressed. E-mail: guttmann{at}bwh.harvard.edu.

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.


Key words: Alzheimer disease • cerebral amyloid angiopathy • magnetic resonance imaging • perfusion • white-matter hyperintensities