Abstract #3158

Tractography-Based Voxel-Wise Analysis (TBVA): A New Approach for Detecting White Matter Abnormalities in Clinical Populations

Su-Chun Huang¹,², Gregory J. Pauley¹, Todd L. Richards¹, Neva M. Corrigan, Dennis W. Shaw, Alan A. Artru³, Annette Estes⁴, Stephen R. Dager, Natalia M. Kleinhans,¹

¹Integrated Brain Imaging Center, Department of Radiology, University of Washington, Seattle, WA, United States; ²Institute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan; ³Department of Anesthesiology, University of Washington, Seattle, WA, United States; ⁴Speech and Hearing Sciences, University of Washington, Seattle, WA, United States

Here we introduce a new analysis pipeline named tractography-based voxel-wise analysis (TBVA), which combines the advantages of TBSS and probabilistic tractography. This approach shows individual tract bundles in MNI standard space and performs voxel-wise comparisons within the tract bundle. We employed TBVA on the cingulum bundle (CB) in a group of participants with autism spectrum disorders (ASD) and age and IQ matched controls, and compared the results from conventional TBSS to the TSVA tractography results.