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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lee, A.D. Lepore, N. Yi-Yu Chou Brun, C. Barysheva, M. Ming-Chiang Chang Madsen, S.K. McMahon, K.L. de Zubicaray, G.I. Wright, M.J. Toga, A.W. Thompson, P.M. |
| Copyright Year | 2009 |
| Description | Author affiliation: Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, CA, USA (Lee, A.D.; Lepore, N.; Yi-Yu Chou; Brun, C.; Barysheva, M.; Ming-Chiang Chang; Madsen, S.K.; Toga, A.W.; Thompson, P.M.) || Queensland Institute of Medical Research, Brisbane, Australia (Wright, M.J.) || Functional MRI Laboratory, Centre for Magnetic Resonance, University of Queensland, Brisbane, Australia (McMahon, K.L.; de Zubicaray, G.I.) |
| Abstract | We present a new algorithm to compute the voxel-wise genetic contribution to brain fiber microstructure using diffusion tensor imaging (DTI) in a dataset of 25 monozygotic (MZ) twins and 25 dizygotic (DZ) twin pairs (100 subjects total). First, the structural and DT scans were linearly co-registered. Structural MR scans were nonlinearly mapped via a 3D fluid transformation to a geometrically centered mean template, and the deformation fields were applied to the DTI volumes. After tensor re-orientation to realign them to the anatomy, we computed several scalar and multivariate DT-derived measures including the geodesic anisotropy (GA), the tensor eigenvalues and the full diffusion tensors. A covariance-weighted distance was measured between twins in the Log-Euclidean framework [2], and used as input to a maximum-likelihood based algorithm to compute the contributions from genetics (A), common environmental factors (C) and unique environmental ones (E) to fiber architecture. Quanititative genetic studies can take advantage of the full information in the diffusion tensor, using covariance weighted distances and statistics on the tensor manifold. |
| Starting Page | 125 |
| Ending Page | 128 |
| File Size | 639979 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424439317 |
| ISSN | 19457928 |
| DOI | 10.1109/ISBI.2009.5192999 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-06-28 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Genetics Tensile stress Diffusion tensor imaging Computer architecture Geophysics computing Level measurement Microstructure Anatomy Anisotropic magnetoresistance Eigenvalues and eigenfunctions genetics multivariate statistics DTI twin studies |
| Content Type | Text |
| Resource Type | Article |
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