Mapping genetic influences on brain fiber architecture with high angular resolution diffusion imaging (HARDI)

Chiang, M. C., Barysheva, M., Lee, A. D., Madsen, S., Klunder, A. D., Toga, A. W., McMahon, K. L., de Zubicaray, G. I., Meredith, M., Wright, M. J., Srivastava, A., Balov, N., & Thompson, P. M. (2008) Mapping genetic influences on brain fiber architecture with high angular resolution diffusion imaging (HARDI). In ISBI 2008. 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008. Proceedings, IEEE, Paris, France, pp. 871-874.

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We report the first 3D maps of genetic effects on brain fiber complexity. We analyzed HARDI brain imaging data from 90 young adult twins using an information-theoretic measure, the Jensen-Shannon divergence (JSD), to gauge the regional complexity of the white matter fiber orientation distribution functions (ODF). HARDI data were fluidly registered using Karcher means and ODF square-roots for interpol ation; each subject's JSD map was computed from the spatial coherence of the ODFs in each voxel's neighborhood. We evaluated the genetic influences on generalized fiber anisotropy (GFA) and complexity (JSD) using structural equation models (SEM). At each voxel, genetic and environmental components of data variation were estimated, and their goodness of fit tested by permutation. Color-coded maps revealed that the optimal models varied for different brain regions. Fiber complexity was predominantly under genetic control, and was higher in more highly anisotropic regions. These methods show promise for discovering factors affecting fiber connectivity in the brain.

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7 citations in Scopus
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4 citations in Web of Science®

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ID Code: 85699
Item Type: Conference Paper
Refereed: No
Keywords: DTI registration, High angular resolution diffusion imaging, Jensen-Shannon divergence, Structural equation model, Twins
DOI: 10.1109/ISBI.2008.4541135
ISBN: 9781424420032
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Copyright Owner: Copyright 2008 IEEE
Deposited On: 09 Oct 2015 05:36
Last Modified: 21 Oct 2015 05:19

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