Medical Image Computing

Genetics of Anisotropy Asymmetry: Registration and Sample Size Effects

Genetics of Anisotropy Asymmetry: Registration and Sample Size Effects


Brain asymmetry has been a topic of interest for neuroscientists for many years. The advent of diffusion tensor imaging (DTI) allows researchers to extend the study of asymmetry to a microscopic scale by examining fiber integrity differences across hemispheres rather than the macroscopic differences in shape or structure volumes. Even so, the power to detect these microarchitectural differences depends on the sample size and how the brain images are registered and how many subjects are studied. We fluidly registered 4 Tesla DTI scans from 180 healthy adult twins (45 identical and fraternal pairs) to a geometrically-centered population mean template. We computed voxelwise maps of significant asymmetries (left/right hemisphere differences) for common fiber anisotropy indices (FA, GA). Quantitative genetic models revealed that 47-62% of the variance in asymmetry was due to genetic differences in the population. We studied how these heritability estimates varied with the type of registration target (T1- or T2-weighted) and with sample size. All methods consistently found that genetic factors strongly determined the lateralization of fiber anisotropy, facilitating the quest for specific genes that might influence brain asymmetry and fiber integrity.


Jahanashad, Neda, Lee, Agatha D., Lepore, Natasha, Chou, Yi-Yu, Brun, Caroline C., Barysheva, Marina, Toga, Arthur, McMahon, Katie L., De Zubicaray, Greig I., Wright, Margaret J. and Thompson, Paul M. (2009). Genetics of anisotropy asymmetry: Registration and sample size effects. In Guang-Zhong Yang, David Hawkes, Daniel Rueckert, Alison Noble and Chris Taylor (Ed.), Medical image computing and computer-assisted intervention – MICCAI 2009 Springer ed. (pp. 498-505) Barlin / Heidelberg: Springer. doi:10.1007/978-3-642-04271-3_61