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Multi-modal Registration Improves Group Discrimination in Pediatric Traumatic Brain Injury

  • Emily L. DennisEmail author
  • Faisal Rashid
  • Julio Villalon-Reina
  • Gautam Prasad
  • Joshua Faskowitz
  • Talin Babikian
  • Richard Mink
  • Christopher Babbitt
  • Jeffrey Johnson
  • Christopher C. Giza
  • Robert F. Asarnow
  • Paul M. Thompson
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10154)

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.

Keywords

Traumatic Brain Injury Fractional Anisotropy Diffusion Weighted Imaging Traumatic Brain Injury Patient White Matter Integrity 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

This study was supported by the NICHDS (R01 HD061504). ELD is supported by a grant from the NINDS (K99 NS096116). ELD, FR, JV, GP, JF and PT are also supported by NIH grants to PT: U54 EB020403, R01 EB008432, R01 AG040060, and R01 NS080655. CCG is supported by the UCLA BIRC, NS027544, NS05489, Child Neurology Foundation, and the Jonathan Drown Foundation. Scanning was supported by the Staglin IMHRO Center for Cognitive Neuroscience. We gratefully acknowledge the contributions of Alma Martinez and Alma Ramirez in assisting with recruitment and study coordination. Finally, the authors thank the participants and their families for contributing their time.

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Emily L. Dennis
    • 1
    Email author
  • Faisal Rashid
    • 1
  • Julio Villalon-Reina
    • 1
  • Gautam Prasad
    • 1
  • Joshua Faskowitz
    • 1
  • Talin Babikian
    • 2
  • Richard Mink
    • 3
  • Christopher Babbitt
    • 4
  • Jeffrey Johnson
    • 5
  • Christopher C. Giza
    • 6
  • Robert F. Asarnow
    • 2
    • 7
    • 8
  • Paul M. Thompson
    • 1
    • 2
    • 9
  1. 1.Imaging Genetics Center, Keck USC School of MedicineMarina del ReyUSA
  2. 2.Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human BehaviorUCLALos AngelesUSA
  3. 3.Department of PediatricsHarbor-UCLA Medical Center and Los Angeles BioMedical Research InstituteTorranceUSA
  4. 4.Miller Children’s HospitalLong BeachUSA
  5. 5.Department of PediatricsLAC+USC Medical CenterLos AngelesUSA
  6. 6.Department of Neurosurgery and Division of Pediatric Neurology, UCLA Brain Injury Research CenterMattel Children’s HospitalLos AngelesUSA
  7. 7.Department of PsychologyUCLALos AngelesUSA
  8. 8.Brain Research InstituteUCLALos AngelesUSA
  9. 9.Departments of Neurology, Pediatrics, Psychiatry, Radiology, Engineering, and OphthalmologyUSCLos AngelesUSA

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