• DocumentCode
    2633049
  • Title

    Genetic influences on human brain morphology

  • Author

    Van Erp, Theo G M ; Cannon, Tyrone D. ; Tran, Helen L. ; Wobbekind, Amber D. ; Huttunen, Matti ; Lönnqvist, Jouko ; Kaprio, Jaakko ; Salonen, Oili ; Valanne, Leena ; Poutanen, Veli-Pekka ; Standertskjöld-Nordenstam, Carl-Gustav ; Toga, Arthur W. ; Thompso

  • Author_Institution
    Dept. of Psychol., UCLA, Los Angeles, CA, USA
  • fYear
    2004
  • fDate
    15-18 April 2004
  • Firstpage
    583
  • Abstract
    Structural magnetic resonance imaging (MRI) studies have started Io address the contributions of genetic and environmental factors to brain morphology in healthy individuals. These studies have largely been limited to assessing heritability for single and mostly gross anatomical structures. To avoid this limitation, we developed a method using high-dimensional 3D nonlinear registration to apply an elastic deformation vector field in the cortical parameter space and assess regional cortical gray matter density on the entire cortical surface in healthy monozygotic (MZ) and dizygotic (DZ) twins. Once aligned across subjects, surface maps of gray matter density were subjected to variance component analyses. By fitting structural equation models, we generated cortical surface maps to reflect the regional percent variance explained by genetic, shared and unique environmental factors. Initial analyses suggest that cortical structure in primary motor and sensory areas is highly heritable with variance components for additive genetic influences reaching as high as 70%.
  • Keywords
    biomechanics; biomedical MRI; brain; elastic deformation; genetics; image registration; medical image processing; molecular biophysics; cortical parameter space; dizygotic twins; elastic deformation vector field; genetic influences; high-dimensional 3D nonlinear registration; human brain morphology; monozygotic twins; primary motor areas; regional cortical gray matter density; sensory areas; structural equation models; structural magnetic resonance imaging; Analysis of variance; Biomedical imaging; Environmental factors; Equations; Genetics; Humans; Magnetic resonance imaging; Radiology; Surface fitting; Surface morphology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on
  • Print_ISBN
    0-7803-8388-5
  • Type

    conf

  • DOI
    10.1109/ISBI.2004.1398605
  • Filename
    1398605