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Abstract #0275

Bootstrap-based Longitudinal Analysis of DTI Estimates (BLADE): Applications in Clinically Isolated Syndrome Patients

Pelletier D, Chung S, Berman J, Metcalf M, Henry R
University of California, San Francisco

A novel approach of longitudinal DTI analysis, incorporating uncertainty information acquired by bootstrap on voxel-by-voxel basis, is illustrated and applied to patients with clinically isolated syndromes suggestive of multiple sclerosis. Using this approach, we were able to detect localized changes of fractional anisotropy over time, which would be difficult with histogram or ROI analyses. This methods capability to follow individual patients on voxel level may be useful in monitoring the changes in specific axonal pathways and provide new information relevant to disease progression and treatment effects in the study of axonal degeneration in normal controls and neurological disorders.