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Abstract #4685

Diffusion tensor imaging bootstrap metrics differentially predict memory among older adults

Robert S Vorburger 1 , Christian G Habeck 1,2 , Atul Narkhede 1 , Vanessa A Guzman 1 , Jennifer J Manly 1,2 , Yaakov Stern 1,2 , Richard Mayeux 1,2 , and Adam M Brickman 1,2

1 Taub Institute, Columbia University, New York, New York, United States, 2 Department of Neurology, Columbia University, New York, New York, United States

The fractional anisotropy is one of the most popular diffusion tensor imaging parameters to investigate white matter microstructural abnormalities associated with cognition in aging. However, fractional anisotropy often does not provide enough reliability and sensitivity. Here, we use bootstrap metrics of the principal eigenvector which may provide more sensitive measures of fiber integrity for the examination of brain-behavior relationships. Using the fornix as a region-of-interest, we show that these new metrics predict memory performance independently compared to fractional anisotropy.

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