Abstract #1730

Identifying multimodal imaging biomarkers: a framework exploring association of β-Amyloid Accumulation and Microstructural integrity at 7T

Mackenzie Langan^1,2, Em Rose Triolo³, Oleksandr Khegai^1,2, Carolina Ferreira-Atuesta⁴, Johnathan Sutkowski⁴, Trey Hedden⁴, Mehmet Kurt³, and Priti Balchandani^2,5,6

¹Icahn School of Medicine at Mount Sinai, New York, NY, United States, ²Biomedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, ³Department of Mechanical Engineering, University of Washington, Seattle, WA, United States, ⁴Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, ⁵Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, ⁶Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, United States

Synopsis

Keywords: Neurodegeneration, Diffusion Tensor Imaging, High-Field MRIHere we outline a preliminary method using a novel method which leverages UHF neuroimaging to measure detectable correlations in two measures: microstructural (mean diffusivity and fractional anisotropy) acquired at 7T and amyloid beta (β-amyloid) accumulation, acquired using 3T PET-MR.The combination of these methods aids in the ability to map tissue structure and achieve unprecedented visualization of the consequences of β-amyloid accumulation as it relates to neurodegenerative disorders. We show the feasibility of leveraging high resolution diffusion to advance out understand of the relationship between fractional anisotropy and mean diffusivity within brain regions that may be affected by β-amyloid deposition.

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