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Abstract #1704

Using diffusional kurtosis imaging to capture white matter tissue complexity in aging: Does the choice of software package affect results?

Hiba Taha1,2, Jordan A. Chad2,3, and J. Jean Chen2,3
1Human Biology, University of Toronto, Toronto, ON, Canada, 2Rotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada, 3Medical Biophysics, University of Toronto, Toronto, ON, Canada

Studies in white matter (WM) aging have previously used diffusional kurtosis imaging (DKI), however it remains unclear if results have been affected by limited sample sizes or the choice of software package. In this study, we show positive age associations of diffusivity and negative age associations of kurtosis throughout WM tracts using two different DKI packages on a large sample of 700 adults. Unique regional specific changes were observed differentially using these two tools, suggesting that the choice of software package can influence the study of aging.

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