Diffusion imaging protocol effects on genetic associations

Proceedings - International Symposium on Biomedical Imaging

Volumn , Issue , 2012, Pages 944-947

  Jahanshad, Neda ^a   Kohannim, Omid ^a   Toga, Arthur W ^a   McMahon, Katie L ^b   De Zubicaray, Greig I ^b   Hansell, Narelle K ^c   Montgomery, Grant W ^c   Martin, Nicholas G ^c   Wright, Margaret J ^c   Thompson, Paul M ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF QUEENSLAND   (Australia)

^c QIMR BERGHOFER MEDICAL RESEARCH INSTITUTE   (Australia)

Author keywords

corpus callosum; DTI protocol stability; genome wide association study; imaging genetics; multi site analysis

Indexed keywords

BRAIN STRUCTURE; CANDIDATE GENES; CORPUS CALLOSUM; DIFFUSION IMAGING; DIFFUSION TENSOR IMAGES; FRACTIONAL ANISOTROPY; GENETIC ANALYSIS; GENETIC VARIANTS; GENOME-WIDE ASSOCIATION; HIGH FIELD; MULTI-SITE; PROTOCOL STABILITY; STRUCTURAL EQUATION MODELS; TWIN DESIGN; WHITE MATTER;

GENES; MEDICAL IMAGING;

TENSORS;

EID: 84864848336     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2012.6235712     Document Type: Conference Paper

References (15)

1. ENIGMA Consortium, "Genome-Wide Association Meta-Analysis of Hippocampal Volume: Results from the ENIGMA Consortium," in Organization for Human Brain Mapping, Quebec City, Canada, 2011.
2. D. P. Hibar, et al., "Multilocus genetic analysis of brain images," Frontiers in Genetics, vol. 2, October 21 2011.
3. J. E. Iglesias, et al., "Robust brain extraction across datasets and comparison with publicly available methods," IEEE Trans Med Imaging, vol. 30, pp. 1617-34, Sep 2011.
4. A. J. Ho, et al., "Comparing 3 T and 1.5 T MRI for tracking Alzheimer's disease progression with tensor-based morphometry," Hum Brain Mapp, vol. 31, pp. 499-514, Apr 2010.
5. M. N. Braskie, et al., "Common Alzheimer's Disease Risk Variant within the CLU Gene Affects White Matter Microstructure in Young Adults," J Neurosci, vol. 31, 2011.
6. M. C. Chiang, et al., "BDNF gene effects on brain circuitry replicated in 455 twins," Neuroimage, vol. 55, pp. 448-54, 2011.
7. L. Zhan, et al., "How does angular resolution affect diffusion imaging measures?," NeuroImage, vol. 49, pp. 1357-71, 2010.
8. S. M. Smith, et al., "Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data," Neuroimage, vol. 31, pp. 1487-505, Jul 15 2006.
9. D. K. Jones, et al., "Optimal strategies for measuring diffusion in anisotropic systems by magnetic resonance imaging," Magn Reson Med, vol. 42, pp. 515-25, Sep 1999.
10. A. D. Leow, et al., "Statistical properties of Jacobian maps and the realization of unbiased large-deformation nonlinear image registration," IEEE Trans Med Imaging, vol. 26, pp. 822-32, 2007.
11. N. Jahanshad, et al., "Genetic influences on brain asymmetry: a DTI study of 374 twins and siblings," Neuroimage, vol. 52, pp. 455-69, Aug 15 2010.
12. S. Mori, et al., "Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template," Neuroimage, vol. 40, pp. 570-82, Apr 1 2008.
13. F. V. Rijsdijk and P. C. Sham, "Analytic approaches to twin data using structural equation models," Brief Bioinform, vol. 3, pp. 119-33, Jun 2002.
14. S. Boker, et al., "OpenMx: An Open Source Extended Structural Equation Modeling Framework," Psychometrika, vol. 76, pp. 306-317, Apr 2011.
15. H. M. Kang, et al., "Variance component model to account for sample structure in genome-wide association studies," Nat Genet, vol. 42, pp. 348-54, Apr 2010.