Gene effects mapped using fractional and geodesic anisotropy in diffusion tensor images of 92 monozygotic and dizygotic twins

Lee, Agatha D., Lepore, Natasha, Barysheva, Marina, Chou, Yiyu, Brun, Caroline, Madsen, Sarah K., McMahon, Katie, de Zubicaray, Greig I., Wright, Margaret J., Toga, Arthur W. and Thompson, Paul M. (2008). Gene effects mapped using fractional and geodesic anisotropy in diffusion tensor images of 92 monozygotic and dizygotic twins. In: CDMRI'08: Workshop on computational diffusion MRI. MICCAI workshop on computational diffusion MRI, New York, United States, (31-40). 10 September 2008.

Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads
Author Lee, Agatha D.
Lepore, Natasha
Barysheva, Marina
Chou, Yiyu
Brun, Caroline
Madsen, Sarah K.
McMahon, Katie
de Zubicaray, Greig I.
Wright, Margaret J.
Toga, Arthur W.
Thompson, Paul M.
Title of paper Gene effects mapped using fractional and geodesic anisotropy in diffusion tensor images of 92 monozygotic and dizygotic twins
Conference name MICCAI workshop on computational diffusion MRI
Conference location New York, United States
Conference dates 10 September 2008
Proceedings title CDMRI'08: Workshop on computational diffusion MRI
Place of Publication Pennsylvania, PA, United States
Publisher University of Pennsylvania
Publication Year 2008
Sub-type Fully published paper
Start page 31
End page 40
Total pages 10
Language eng
Abstract/Summary We used tensor-derived measures to map the extent of genetic effects on brain fiber microstructure, in 23 monozygotic and 23 dizygotic twin pairs. All 92 DTI volumes were fluidly registered to a geometrically-centered template via a high-dimensional mapping of co-registered structural-MRI. After tensor re-orientation, we computed three scalar DTI measures: the fractional anisotropy (FA), geodesic anisotropy (GA), and the hyperbolic tangent of GA (tGA); GA measures the geodesic distance between tensors on the symmetric positive-definite tensor manifold. Spatial maps of intraclass correlations between MZ and DZ twins were compared to compute maps of Falconer’s heritability statistics. We also performed a maximum likelihood estimation of genetic influences using path analysis. The manifold-based measure, tGA, was marginally more powerful than FA for detecting genetic influences, and improved the fit of quantitative genetic models relative to FA and GA. The pattern of genetic influences was remarkably consistent with the neurodevelopmental sequence, with strong occipital genetic effects and strong frontal environmental effects.
Subjects 02 Physical Sciences
Keyword DTI
Fractional Anisotropy
Geodesic Anisotropy
Twins
quantitative genetics
path analysis
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ

 
Versions
Version Filter Type
Citation counts: Google Scholar Search Google Scholar
Created: Mon, 08 Mar 2010, 11:54:05 EST by Laura McTaggart on behalf of Faculty of Science