Journal
NEUROBIOLOGY OF AGING
Volume 31, Issue 7, Pages 1107-1121Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.neurobiolaging.2008.08.013
Keywords
MCI; AD; PET; MR morphometry; APOE; Episodic memory
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Funding
- Morphometry Biomedical Informatics Research Network (BIRN [U24 RR021382]
- National Center for Research Resources at the National Institutes of Health, U.S.A
- Alzheimer's Disease Neuroimaging Initiative (ADNI
- NIH [U01 AG024904]
- National Institute on Aging
- National Institute of Biomedical Imaging and Bioengineering (NIBIB)
- Pfizer Inc.
- Wyeth Research
- Bristol-Myers Squibb
- Eli Lilly and Company
- GlaxoSmithKline
- Merck Co. Inc.
- AstraZeneca AB
- Novartis Pharmaceuticals Corporation
- Alzheimer's Association
- Eisai Global Clinical Development
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This study (n = 161) related morphometric MR imaging, EDG-PET and APOE genotype to memory scores in normal controls (NC), mild cognitive impairment (MCI) and Alzheimer's disease (AD). Stepwise regression analyses focused on morphometric and metabolic characteristics of the episodic memory network: hippocampus, entorhinal, parahippocampal, retrosplenial, posterior cingulate, precuneus, inferior parietal, and lateral orbitofrontal cortices. In NC, hippocampal metabolism predicted learning; entorhinal metabolism predicted recognition; and hippocampal metabolism predicted recall. In MCI, thickness of the entorhinal and precuneus cortices predicted learning, while parahippocampal metabolism predicted recognition. In AD, posterior cingulate cortical thickness predicted learning, while APOE genotype predicted recognition. In the total sample, hippocampal volume and metabolism, cortical thickness of the precuneus, and inferior parietal metabolism predicted learning; hippocampal volume and metabolism, parahippocampal thickness and APOE genotype predicted recognition. Imaging methods appear complementary and differentially sensitive to memory in health and disease. Medial temporal and parietal metabolism and morphometry best explained memory variance. Medial temporal characteristics were related to learning, recall and recognition, while parietal structures only predicted learning. (C) 2008 Published by Elsevier Inc.
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