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Abstract #2629

Longitudinal tensor-based morphometry in healthy aging

Laura D Reyes1,2, Neda Sadeghi2, Fran├žois M Lalonde3, and Carlo Pierpaoli2

1Henry M. Jackson Foundation, Bethesda, MD, United States, 2NIBIB, National Institutes of Health, Bethesda, MD, United States, 3NIMH, National Institutes of Health, Bethesda, MD, United States

Previous studies of healthy elderly populations combined a longitudinal design with tensor-based morphometry (TBM) and found significant gray matter (GM) atrophy over short time periods. We examined a separate healthy elderly population using a different method to determine if previous results are biologically driven, and investigated the relationship between GM and cognition. We also detected significant GM atrophy, but did not find a link between GM, age, and cognition. Our longitudinal TBM approach is sensitive to subtle, short-term GM changes, but further investigation is necessary to examine the effect of different methodological approaches on the relationship between GM and cognition.

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