Comparison of fractional and geodesic anisotropy in diffusion tensor images of 90 monozygotic and dizygotic twins

Lee, A. D., Leporé, N., Barysheva, M., Chou, Y. Y., Brun, C., Madsen, S. K., McMahon, K. L., de Zubicaray, G. I., Meredith, M., Wright, M. J., Toga, A. W., & Thompson, P. M. (2008) Comparison of fractional and geodesic anisotropy in diffusion tensor images of 90 monozygotic and dizygotic twins. In 2008 5th IEEE International Symposium on Biomedical... by Institute of Electrical and Electronics Engineers. 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro: Proceedings: May 14-17, 2008, Paris Marriott Rive Gauche Ho, IEEE, Paris, France, pp. 943-946.

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Abstract

We used diffusion tensor magnetic resonance imaging (DTI) to reveal the extent of genetic effects on brain fiber microstructure, based on tensor-derived measures, in 22 pairs of monozygotic (MZ) twins and 23 pairs of dizygotic (DZ) twins (90 scans). After Log-Euclidean denoising to remove rank-deficient tensors, DTI volumes were fluidly registered by high-dimensional mapping of co-registered MP-RAGE scans to a geometrically-centered mean neuroanatomical template. After tensor reorientation using the strain of the 3D fluid transformation, we computed two widely used scalar measures of fiber integrity: fractional anisotropy (FA), and geodesic anisotropy (GA), which measures the geodesic distance between tensors in the symmetric positive-definite tensor manifold. Spatial maps of intraclass correlations (r) between MZ and DZ twins were compared to compute maps of Falconer's heritability statistics, i.e. the proportion of population variance explainable by genetic differences among individuals. Cumulative distribution plots (CDF) of effect sizes showed that the manifold measure, GA, comparably the Euclidean measure, FA, in detecting genetic correlations. While maps were relatively noisy, the CDFs showed promise for detecting genetic influences on brain fiber integrity as the current sample expands.

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7 citations in Scopus
4 citations in Web of Science®
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ID Code: 85801
Item Type: Conference Paper
Refereed: Yes
Keywords: Fractional anisotropy, Geodesic anisotropy, Twin
DOI: 10.1109/ISBI.2008.4541153
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: 01 Sep 2015 06:48
Last Modified: 25 Jun 2017 05:02

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