Abstract #0529

Quantitative MRI with spatiotemporal normalization can detect longitudinal changes in primary lateral sclerosis cervical spinal cord

Adam V. Dvorak^1,2, Poljanka Johnson¹, Hanwen Liu^1,2, Emil Ljungberg³, Irene M. Vavasour^1,4, John Kramer^2,5, Alex L. MacKay^1,4, Cornelia Laule^2,4, Hannah Briemberg⁶, Neil Cashman⁶, and Shannon H. Kolind^1,2,4,6

¹Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, ²International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada, ³Institute of Psychiatry, Psychology & Neuroscience, King's College, London, United Kingdom, ⁴Radiology, University of British Columbia, Vancouver, BC, Canada, ⁵Kinesiology, University of British Columbia, Vancouver, BC, Canada, ⁶Medicine, University of British Columbia, Vancouver, BC, Canada

Analysis of longitudinal quantitative MRI data can be confounded by a variety of factors. We use spatiotemporal normalization and a symmetric diffeomorphic normalization algorithm to compare quantitative MRI metrics in a patient-specific halfway space. Utilizing these methods, myelin water imaging and diffusion tensor imaging were able to detect changes in primary lateral sclerosis (PLS) spinal cord similar to those found in the faster-progressing amyotrophic lateral sclerosis (ALS). Future studies could employ spatiotemporal normalization with more subjects and imaging timepoints to investigate the use of longitudinal MWI and DTI as a biomarker for motor neuron disease progression.

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