Journal
NEUROBIOLOGY OF AGING
Volume 32, Issue 10, Pages 1733-1741Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.neurobiolaging.2009.11.008
Keywords
Alzheimer's disease; Mild cognitive impairment; MRI; Voxel-based morphometry; Systematicre view; Meta-analysis; Activation likelihood estimation
Categories
Funding
- CAPES, Brazil
- CNPq, Brazil
- FAPESP
- CNPq
- Alzheimer's Association
- ABADHS (Associacao Beneficente Alzira Denise Herzog da Silva)
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The identification of biological markers at early stages of Alzheimer's disease (AD) contributes to diagnostic accuracy and adds prognostic value. However, in spite of recent developments, results of neurostructural imaging studies on predicting conversion to AD are not uniform. We conducted a systematic review of voxel-based morphometry (VBM) studies about the neurostructural predictors of conversion to AD. Ten studies met inclusion criteria and nine reported baseline regional gray matter (GM) atrophy in mild cognitive impairment (MCI) or healthy subjects who progressed to AD. Using the method of Activation Likelihood Estimation, we meta-analyzed the coordinates from the six longitudinal VBM studies that enrolled subjects with amnestic MCI (aMCI) at baseline. These comprised a total of 429 aMCI subjects, of which 142 converted to AD. Meta-analysis yielded one significant cluster of GM volumetric reduction in aMCI patients who converted to AD, located in the left hippocampus and parahippocampal gyrus. In conclusion, left medial temporal lobe atrophy is the most consistent neurostructural biomarker to predict conversion from aMCI to AD. (C) 2009 Elsevier Inc. All rights reserved.
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