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Abstract #2138

A Diffusion MRI Resource of 80 Age-Varied Subjects with Neuropsychological and Demographic Measures

Ryan P. Cabeen1, Ksenia Andreyeva2, Mark E. Bastin2, David H. Laidlaw1

1Brown University, Providence, RI, United States; 2University of Edinburgh, Edinburgh, United Kingdom

The primary purpose of this work is to provide a resource of high angular resolution diffusion MRI datasets of 80 normal volunteers aged 25-64 together with neuropsychological testing data spanning general cognitive ability, memory, and information processing speed. To support the value of these data, we demonstrate statistical correlations between age and tract-based metrics calculated automatically from the data. The metrics are a function of fiber count, length, diffusion rate, and diffusion anisotropy; the statistical relationship to age was modeled with linear regression.