Abstract #0293

Diffusion Bubble Model: A Novel Method For Detecting Neuroinflammation in Mouse Brain With Sanfilippo Syndrome

Erjun Zhang^1,2,3, Irene Londono², Jérémie Fouquet⁴, Alexey Pshezhetsky^5,6, Benjamin De Leener^1,2,3,7, and Gregory Lodygensky^2,8

¹Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada, ²CHU Sainte-Justine University Hospital Center, University of Montreal, Montreal, QC, Canada, ³NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada, ⁴Cerebral Imaging Centre, Douglas Research Center, McGill University, Montreal, QC, Canada, ⁵Centre Hospitalier Universitaire Sainte-Justine Research Center, University of Montreal, Montreal, QC, Canada, ⁶Department of Anatomy and Cell Biology, McGill University, Montreal, QC, Canada, ⁷Department of Computer Engineering and Software Engineering, Polytechnique Montreal, Montreal, QC, Canada, ⁸Department of Pharmacology, University of Montreal, Montreal, QC, Canada

Synopsis

The Diffusion Bubble Model (DBM) is a new method for detecting neuroinflammation in the brains of mice with Sanfilippo Syndrome. This rare and debilitating disorder primarily affects children and causes progressive neurodegeneration. DBM utilizes diffusion spectrum derived from dMRI to detect brain injuries such as inflammation. It can work in both white and gray matter with limited number of diffusion directions. The study found that brain injuries with inflammation had reduced the fraction of the slow diffusion component and increasing the fraction of the fast diffusion component. The findings may establish non-invasive biomarkers for detecting and evaluating neuroinflammation diseases.

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