Scalar connectivity measures from fast-marching tractography reveal heritability of white matter architecture
Patel, V., Chiang, M. C., Thompson, P. M., McMahon, K. L., de Zubicaray, G. I., Martin, N. G., Wright, M. J., & Toga, A. W. (2010) Scalar connectivity measures from fast-marching tractography reveal heritability of white matter architecture. In 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, IEEE, Rotterdam, The Netherlands, pp. 1109-1112.
Recent advances in diffusion-weighted MRI (DWI) have enabled studies of complex white matter tissue architecture in vivo. To date, the underlying influence of genetic and environmental factors in determining central nervous system connectivity has not been widely studied. In this work, we introduce new scalar connectivity measures based on a computationally-efficient fast-marching algorithm for quantitative tractography. We then calculate connectivity maps for a DTI dataset from 92 healthy adult twins and decompose the genetic and environmental contributions to the variance in these metrics using structural equation models. By combining these techniques, we generate the first maps to directly examine genetic and environmental contributions to brain connectivity in humans. Our approach is capable of extracting statistically significant measures of genetic and environmental contributions to neural connectivity.
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|Item Type:||Conference Paper|
|Keywords:||Algorithms, Brain, Genetics, Magnetic resonance imaging, Nervous system|
|Divisions:||Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
|Copyright Owner:||Copyright 2010 IEEE|
|Deposited On:||09 Oct 2015 05:43|
|Last Modified:||21 Oct 2015 04:12|
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