Ventricular maps in 804 ADNI subjects: Correlations with CSF biomarkers and clinical decline

Yi Yu Chou, Natasha Leporé, Priyanka Saharan, Sarah K. Madsen, Xue Hua, Clifford R. Jack, Leslie M. Shaw, John Q. Trojanowski, Michael W. Weiner, Arthur W. Toga, Paul M. Thompson

Research output: Contribution to journalArticlepeer-review

55 Scopus citations


Ideal biomarkers of Alzheimer's disease (AD) should correlate with accepted measures of pathology in the cerebrospinal fluid (CSF); they should also correlate with, or predict, future clinical decline, and should be readily measured in hundreds to thousands of subjects. Here we explored the utility of automated 3D maps of the lateral ventricles as a possible biomarker of AD. We used our multi-atlas fluid image alignment (MAFIA) method, to compute ventricular models automatically, without user intervention, from 804 brain MRI scans with 184 AD, 391 mild cognitive impairment (MCI), and 229 healthy elderly controls (446 men, 338 women; age: 75.50 ± 6.81 [SD] years). Radial expansion of the ventricles, computed pointwise, was strongly correlated with current cognition, depression ratings, Hachinski Ischemic scores, language scores, and with future clinical decline after controlling for any effects of age, gender, and educational level. In statistical maps ranked by effect sizes, ventricular differences were highly correlated with CSF measures of Aβ1-42, and correlated with ApoE4 genotype. These statistical maps are highly automated, and offer a promising biomarker of AD for large-scale studies.

Original languageEnglish
Pages (from-to)1386-1400
Number of pages15
JournalNeurobiology of Aging
Issue number8
StatePublished - Aug 2010
Externally publishedYes


  • Alzheimer's disease
  • Biomarkers
  • Lateral ventricles
  • Magnetic resonance imaging
  • Neuroimaging


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