• DocumentCode
    2571007
  • Title

    Diffusion imaging protocol effects on genetic associations

  • Author

    Jahanshad, Neda ; Kohannim, Omid ; Toga, Arthur W. ; McMahon, Katie L. ; De Zubicaray, Greig I. ; Hansell, Narelle K. ; Montgomery, Grant W. ; Martin, Nicholas G. ; Wright, Margaret J. ; Thompso, Paul M.

  • Author_Institution
    Sch. of Med., Dept. of Neurology, UCLA, Los Angeles, CA, USA
  • fYear
    2012
  • fDate
    2-5 May 2012
  • Firstpage
    944
  • Lastpage
    947
  • Abstract
    Large multi-site image-analysis studies have successfully discovered genetic variants that affect brain structure in tens of thousands of subjects scanned worldwide. Candidate genes have also associated with brain integrity, measured using fractional anisotropy in diffusion tensor images (DTI). To evaluate the heritability and robustness of DTI measures as a target for genetic analysis, we compared 417 twins and siblings scanned on the same day on the same high field scanner (4-Tesla) with two protocols: (1) 94-directions; 2mm-thick slices, (2) 27-directions; 5mm-thickness. Using mean FA in white matter ROIs and FA `skeletons´ derived using FSL, we (1) examined differences in voxelwise means, variances, and correlations among the measures; and (2) assessed heritability with structural equation models, using the classical twin design. FA measures from the genu of the corpus callosum were highly heritable, regardless of protocol. Genome-wide analysis of the genu mean FA revealed differences across protocols in the top associations.
  • Keywords
    biomedical MRI; brain; cellular biophysics; genetics; genomics; medical image processing; molecular biophysics; neurophysiology; brain integrity; brain structure; classical twin design; corpus callosum; diffusion imaging protocol effect; diffusion tensor images; fractional anisotropy; genetic analysis; genetic association; genetic variant; genome-wide analysis; high field scanner; magnetic flux density 4 T; multisite image analysis; structural equation model; white matter; Bioinformatics; Diffusion tensor imaging; Genomics; Mathematical model; Protocols; DTI protocol stability; corpus callosum; genome-wide association study; imaging genetics; multi-site analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on
  • Conference_Location
    Barcelona
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4577-1857-1
  • Type

    conf

  • DOI
    10.1109/ISBI.2012.6235712
  • Filename
    6235712