Reducing structural variation to determine the genetics of white matter integrity across hemispheres – a DTI study of 100 twins

Jahanshad, Neda, Lee, Agatha D., Lepore, Natasha, Chou, Yi-Yu, Brun, Caroline, Barysheva, Marina, Toga, Arthur W., McMahon, Katie L., De Zubicaray, Greig I., Wright, Margaret J., Sapiro, Guillermo, Lenglet, Christophe and Thompson, Paul M. (2009). Reducing structural variation to determine the genetics of white matter integrity across hemispheres – a DTI study of 100 twins. In: Biomedical Imaging: From Nano to Macro. Sixth IEEE International Conference on Symposium on Biomedical Imaging: From Nano to Macro, Boston, Massachusetts, USA, (819-822). 28 June - 1 July 2009. doi:10.1109/ISBI.2009.5193175


Author Jahanshad, Neda
Lee, Agatha D.
Lepore, Natasha
Chou, Yi-Yu
Brun, Caroline
Barysheva, Marina
Toga, Arthur W.
McMahon, Katie L.
De Zubicaray, Greig I.
Wright, Margaret J.
Sapiro, Guillermo
Lenglet, Christophe
Thompson, Paul M.
Title of paper Reducing structural variation to determine the genetics of white matter integrity across hemispheres – a DTI study of 100 twins
Conference name Sixth IEEE International Conference on Symposium on Biomedical Imaging: From Nano to Macro
Conference location Boston, Massachusetts, USA
Conference dates 28 June - 1 July 2009
Convener ISBI
Proceedings title Biomedical Imaging: From Nano to Macro   Check publisher's open access policy
Journal name 2009 Ieee International Symposium On Biomedical Imaging: From Nano to Macro, Vols 1 and 2   Check publisher's open access policy
Place of Publication USA
Publisher IEEE
Publication Year 2009
Sub-type Fully published paper
DOI 10.1109/ISBI.2009.5193175
ISBN 9781424439317
ISSN 1945-7928
Start page 819
End page 822
Total pages 4
Collection year 2010
Language eng
Abstract/Summary Studies of cerebral asymmetry can open doors to understanding the functional specialization of each brain hemisphere, and how this is altered in disease. Here we examined hemispheric asymmetries in fiber architecture using diffusion tensor imaging (DTI) in 100 subjects, using high-dimensional fluid warping to disentangle shape differences from measures sensitive to myelination. Confounding effects of purely structural asymmetries were reduced by using co-registered structural images to fluidly warp 3D maps of fiber characteristics (fractional and geodesic anisotropy) to a structurally symmetric minimal deformation template (MDT). We performed a quantitative genetic analysis on 100 subjects to determine whether the sources of the remaining signal asymmetries were primarily genetic or environmental. A twin design was used to identify the heritable features of fiber asymmetry in various regions of interest, to further assist in the discovery of genes influencing brain micro-architecture and brain lateralization. Genetic influences and left/right asymmetries were detected in the fiber architecture of the frontal lobes, with minor differences depending on the choice of registration template.
Subjects E1
970111 Expanding Knowledge in the Medical and Health Sciences
920199 Clinical Health (Organs, Diseases and Abnormal Conditions) not elsewhere classified
060410 Neurogenetics
080106 Image Processing
170205 Neurocognitive Patterns and Neural Networks
Keyword Diffusion Tensor Imaging (DTI)
Genetics
Brain asymmetry
Minimal deformation template
Fiber architecture
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

 
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Created: Thu, 15 Apr 2010, 12:15:17 EST by Sandrine Ducrot on behalf of Centre For Magnetic Resonance