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December 26, 2006; 67 (12) Articles

Extent and distribution of white matter hyperintensities in normal aging, MCI, and AD

M. Yoshita, E. Fletcher, D. Harvey, M. Ortega, O. Martinez, D. M. Mungas, B. R. Reed, C. S. DeCarli
First published December 26, 2006, DOI: https://doi.org/10.1212/01.wnl.0000249119.95747.1f
M. Yoshita
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E. Fletcher
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D. Harvey
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M. Ortega
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O. Martinez
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D. M. Mungas
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B. R. Reed
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C. S. DeCarli
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Extent and distribution of white matter hyperintensities in normal aging, MCI, and AD
M. Yoshita, E. Fletcher, D. Harvey, M. Ortega, O. Martinez, D. M. Mungas, B. R. Reed, C. S. DeCarli
Neurology Dec 2006, 67 (12) 2192-2198; DOI: 10.1212/01.wnl.0000249119.95747.1f

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Abstract

Objective: To analyze the extent and spatial distribution of white matter hyperintensities (WMH) in brain regions from cognitively normal older individuals (CN) and patients with mild cognitive impairment (MCI) and Alzheimer disease (AD).

Methods: We studied 26 mild AD, 28 MCI, and 33 CN. MRI analysis included quantification of WMH volume, nonlinear mapping onto a common anatomic image, and spatial localization of each WMH voxel to create an anatomically precise frequency distribution map. Areas of greatest frequency of WMH from the WMH composite map were used to identify 10 anatomic regions involving periventricular areas and the corpus callosum (CC) for group comparisons.

Results: Total WMH volumes were associated with age, extent of concurrent vascular risk factors, and diagnosis. After correcting for age, total WMH volumes remained significantly associated with diagnosis and extent of vascular risk. Regional WMH analyses revealed significant differences in WMH across regions that also differed significantly according to diagnosis. In post-hoc analyses, significant differences were seen between CN and AD in posterior periventricular regions and the splenium of the CC. MCI subjects had intermediate values at all regions. Repeated measures analysis including vascular risk factors in the model found a significant relationship between periventricular WMH and vascular risk that differed by region, but regional differences according to diagnosis remained significant and there was no interaction between diagnosis and vascular risk.

Conclusions: Differences in white matter hyperintensities (WMH) associated with increasing cognitive impairment appear related to both extent and spatial location. Multiple regression analysis of regional WMH, vascular risk factors, and diagnosis suggest that these spatial differences may result from the additive effects of vascular and degenerative injury. Posterior periventricular and corpus callosum extension of WMH associated with mild cognitive impairment and Alzheimer disease indicate involvement of strategic white matter bundles that may contribute to the cognitive deficits seen with these syndromes.

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