Abstract #3382

Biomarkers for fiber density: comparing Stejskal-Tanner diffusion encoding metrics with microscopic diffusion anisotropy from double-diffusion encoding imaging

Siawoosh Mohammadi^1,2,3, Isabel Ellerbrock¹, and Luke Edwards²

¹Department of Systems Neuroscience, Medical Center Hamburg-Eppendorf, Hamburg, Germany, ²Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, ³UCL Institute of Cognitive Neurology, University College London

Different MRI biomarkers for fiber and myelin density have been proposed for MR g-ratio mapping, leaving open the question which biomarker is optimal. Here, we compare four different MRI biomarkers for fiber density using standard Stejeskal-Tanner diffusion encoding to the microscopic diffusion anisotropy (MA) measured by double-diffusion encoding. Thereby, we hypothesize that a better measure of the microscopic environment shows higher (and more significant) correlations to the MA metric. Our preliminary results showed that the marker by Kaden et al. (2016) shows higher correlation to MA than NODDI, suggesting it to be a better biomarker for fiber density.

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