| Literature DB >> 29147687 |
Emily L Dennis1, Faisal Rashid1, Julio Villalon-Reina1, Gautam Prasad1, Joshua Faskowitz1, Talin Babikian2, Richard Mink3, Christopher Babbitt4, Jeffrey Johnson5, Christopher C Giza6, Robert F Asarnow2,7,8, Paul M Thompson1,2,9.
Abstract
Traumatic brain injury (TBI) can disrupt the white matter (WM) integrity in the brain, leading to functional and cognitive disruptions that may persist for years. There is considerable heterogeneity within the patient group, which complicates group analyses. Here we present improvements to a tract identification workflow, automated multi-atlas tract extraction (autoMATE), evaluating the effects of improved registration. Use of study-specific template improved group classification accuracy over the standard workflow. The addition of a multi-modal registration that includes information from diffusion weighted imaging (DWI), T1-weighted, and Fluid-Attenuated Inversion Recovery (FLAIR) further improved classification accuracy. We also examined whether particular tracts contribute more to group classification than others. Parts of the corpus callosum contributed most, and there were unexpected asymmetries between bilateral tracts.Entities:
Year: 2016 PMID: 29147687 PMCID: PMC5684889 DOI: 10.1007/978-3-319-55524-9_4
Source DB: PubMed Journal: Brainlesion