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Connectivity-based analysis: Application to white matter maturation in mouse brain

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3 Author(s)
Youssef Rouchdy ; Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, 3600 Market Street, Suite 380, Philadelphia, PA 19104 ; Christos Davatzikos ; Ragini Verma

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.

Published in:

2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)

Date of Conference:

2-5 May 2012