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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