Abstract #4035

Associations between iron and mean kurtosis in iron-rich grey matter nuclei in aging

Jason Langley¹, Kitzia Solis², Vala Masjedizadeh³, Murphy Shao⁴, Ilana Bennett², and Xiaoping Hu^1,3

¹University of Calfornia Riverside, Riverside, CA, United States, ²Department of Psychology, University of California Riverside, Riverside, CA, United States, ³Department of Bioengineering, University of California Riverside, Riverside, CA, United States, ⁴Department of Physics, University of California Riverside, Riverside, CA, United States

Synopsis

Keywords: Diffusion Modeling, Diffusion Analysis and Visualization

Motivation: Mean kurtosis values in iron-rich grey matter are similar to that of white matter. We suspect these elevated values may be due to iron-related signal loss.

Goal(s): Our goal was to improve understanding of age-related changes in mean kurtosis of iron-rich grey matter nuclei.

Approach: Multi-shell diffusion and multi-echo gradient echo acquisitions were used to derive mean kurtosis and R₂*, respectively. Mean kurtosis and R₂* were measured in subcortical grey matter nuclei in older and younger groups.

Results: Age-related increases in mean kurtosis and R₂* were found in grey matter regions. Grey matter mean kurtosis was significantly correlated with R₂* in both groups.

Impact: Our findings indicate that higher mean kurtosis in iron-rich grey matter structures may be due to decreases in signal-to-noise ratios from iron deposition.

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