Abstract #4640

MRS-based classification of Spinocerebellar Ataxias 1, 2, 3, and 6 at 7T: A distance-weighted discrimination approach

James Joers¹, Dinesh Deelchand¹, Tianmeng Lyu², Uzay Emir^1,3, Diane Hutter¹, Christopher M Gomez⁴, Khalaf O Bushara⁵, Lynn E. Eberly², and Gulin Oz¹

¹Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, ²Division of Biostatistics, University of Minnesota, Minneapolis, MN, United States, ³University of Oxford, Oxford, United Kingdom, ⁴Department of Neurology, University of Chicago, Chicago, IL, ⁵Department of Neurology, University of Minnesota, Minneapolis, MN

We investigated the sensitivity of ultra-high field MRS to distinguish 4 hereditary neurodegenerative diseases with substantial overlap in clinical presentation and conventional MRI. We carried out pairwise classifications of spinocerebellar ataxias (SCAs) 1,2,3 and 6 using distance weighted discrimination (DWD) on 7T MRS from 3 brain regions of 68 SCA patients. Each subject contributed to the DWD model a 50-dimensional vector of concentrations. SCA6 was classified from SCAs 1-3 with high reliability (90%) and SCA2 was classified from SCA3 with moderate success (84%), while SCA1 could not reliably be classified from SCA2 (62%) or SCA3 (48%) with the current model.

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