Title :
Connectivity-based analysis: Application to white matter maturation in mouse brain
Author :
Rouchdy, Youssef ; Davatzikos, Christos ; Verma, Ragini
Author_Institution :
Dept. of Radiol., Univ. of Pennsylvania, Philadelphia, PA, USA
Abstract :
This paper presents a paradigm for population-based studies using geodesic connectivity maps computed from DTI (Diffusion Tensor Imaging) data. Geodesic connectivity maps provide a measure of connectivity characterization between different regions of the brain using a tensor-based measure that combines anisotropy and orientation information. A connectivity map is constructed relative to a given region in a template space. Population based statistical analysis is then undertaken on these connectivity maps, pertaining to regions of interest. Group-wise changes in these connectivity maps therefore indicate potential disruptions of pathways connecting the ROI with the rest of the brain. This general paradigm for connectivity-based analysis is applied herein to a specific problem, namely the study of white matter maturation in a developing mouse brain, by performing voxel-wise linear regression on connectivity maps computed from several white matter regions. The study shows a significant effect of age whereas no effect of sex is observed.
Keywords :
biodiffusion; biomedical MRI; brain; differential geometry; statistical analysis; anisotropy; connectivity-based analysis; diffusion tensor imaging; geodesic connectivity maps; mouse brain; orientation information; population-based statistical analysis; tensor-based measurement; voxel-wise linear regression; white matter maturation; Aging; Anisotropic magnetoresistance; Biomedical measurements; Diffusion tensor imaging; Level measurement; Mice; Tensile stress; diffusion tensor imaging; geodesic connectivity; maturation; mouse; statistics;
Conference_Titel :
Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4577-1857-1
DOI :
10.1109/ISBI.2012.6235482