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Abstract #2794

Improved sensitivity to longitudinal changes with advanced DTI analysis in a rare neurodegenerative disease

Young Woo Park1, James M Joers1, Diane Hutter1, Khalaf Bushara2, Gulin Oz1, and Christophe Lenglet1

1Department of Radiology, University of Minnesota, Minneapolis, MN, United States, 2Department of Neurology, University of Minnesota, Minneapolis, MN, United States

We present an optimized processing pipeline for longitudinal DTI data analysis in spinocerebellar ataxia type 1 (SCA1) patients, a rare neurodegenerative disease. Tract-based spatial statistics (TBSS) analysis was used to investigate longitudinal changes in white matter (WM) integrity in patients. While no significant changes in WM integrity were observed using the standard TBSS analysis pipeline, TBSS with advanced spatial normalization with DTITK tool showed significant longitudinal alterations in WM integrity. This result suggests that the use of advanced spatial normalization must be considered for longitudinal group studies of DTI data, especially when small to moderate disease effects are expected.

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