MRI predictors of cognition in subcortical ischemic vascular disease and Alzheimer's disease

Dan M Mungas, W. J. Jagust, Bruce R Reed, J. H. Kramer, M. W. Weiner, N. Schuff, D. Norman, W. J. Mack, L. Willis, H. C. Chui

Research output: Contribution to journalArticlepeer-review

253 Scopus citations


Background: Causes of cognitive impairment in subcortical ischemic vascular disease (SIVD) are less well understood than in AD, but have been thought to result from direct effects of subcortical lacunes and white matter lesions, perhaps related to disruption of important cortical-subcortical pathways. Objective: To examine the relation between cognitive abilities and quantitative MRI measures of subcortical cerebrovascular disease and cortical and hippocampal atrophy. Methods: Subjects were 157 participants in a multicenter study of SIVD and AD who included cognitively normal, cognitively impaired, and demented individuals with and without subcortical lacunar infarcts. Dependent variables were neuropsychological tests of global cognitive function, memory, language, and executive function. Independent variables were quantitative MRI measures of volume of lacunar infarcts in specific subcortical structures, volume of white matter lesion (WML), volume of cortical gray matter (cGM), and total hippocampal volume (HV). Multiple regression analyses were used to identify MRI predictors of cognition. Results: Subcortical lacunes were not related to cognitive measures independent of effects of other MRI variables. WML was independently related to selected, timed measures. HV and cGM were strong and independent predictors of cognitive variables, with effects that did not differ in subjects with and without subcortical lacunes. Conclusions: Results suggest that cognitive impairment associated with subcortical ischemic vascular disease is primarily a result of associated hippocampal and cortical changes.

Original languageEnglish (US)
Pages (from-to)2229-2235
Number of pages7
Issue number12
StatePublished - Dec 26 2001

ASJC Scopus subject areas

  • Neuroscience(all)


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