TY - GEN
T1 - Connectivity-based analysis
T2 - 2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012
AU - Rouchdy, Youssef
AU - Davatzikos, Christos
AU - Verma, Ragini
PY - 2012/8/15
Y1 - 2012/8/15
N2 - 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.
AB - 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.
KW - diffusion tensor imaging
KW - geodesic connectivity
KW - maturation
KW - mouse
KW - statistics
UR - http://www.scopus.com/inward/record.url?scp=84864860240&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84864860240&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2012.6235482
DO - 10.1109/ISBI.2012.6235482
M3 - Conference contribution
AN - SCOPUS:84864860240
SN - 9781457718588
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 54
EP - 57
BT - 2012 9th IEEE International Symposium on Biomedical Imaging
Y2 - 2 May 2012 through 5 May 2012
ER -