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

NEUROBIOLOGY OF AGING

卷:31

Article

Chou, Yi-Yu¹  Lepore, Natasha^1,2,3  Saharan, Priyanka¹  Madsen, Sarah K.¹  Hua, Xue¹  Jack, Clifford R.⁴  Shaw, Leslie M.^5,6  Trojanowski, John Q.^5,6  Weiner, Michael W.^7,8,9  Toga, Arthur W.¹  Thompson, Paul M.¹ 

[1] Univ Calif Los Angeles, Sch Med, Dept Neurol, Lab Neuro Imaging, Los Angeles, CA 90024 USA

[2] Univ So Calif, Dept Radiol, Los Angeles, CA USA

[3] Univ So Calif, Childrens Hosp Los Angeles, Los Angeles, CA USA

[4] Mayo Clin, Rochester, MN USA

[5] Univ Penn, Sch Med, Dept Pathol & Lab Med, Philadelphia, PA 19104 USA

[6] Univ Penn, Sch Med, Inst Aging, Philadelphia, PA 19104 USA

[7] Univ Calif San Francisco, Dept Radiol, San Francisco, CA 94143 USA

[8] Univ Calif San Francisco, Dept Med, San Francisco, CA USA

[9] Univ Calif San Francisco, Dept Psychiat, San Francisco, CA 94143 USA

关键词: Lateral ventricles;    Alzheimer's disease;    Magnetic resonance imaging;    Biomarkers;    Neuroimaging;   

DOI  :  10.1016/j.neurobiolaging.2010.05.001

来源: Elsevier

【 摘 要 】

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 A beta(1-42), and correlated with ApoE4 genotype. These statistical maps are highly automated, and offer a promising biomarker of AD for large-scale studies. (C) 2010 Elsevier Inc. All rights reserved.

【 授权许可】

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