DocumentCode
1771921
Title
Analysis of structural brain connectivity in 6 cases of hemispherectomy
Author
Eschenburg, Kristian M. ; Villalon-Reina, Julio ; Jahanshad, Neda ; Nir, Talia M. ; Daianu, Madelaine ; Joshi, Anand A. ; Leonardo, Cassandra D. ; de Bode, Stella ; Bookheimer, Susan Y. ; Salamon, Noriko ; Thompson, Paul M.
Author_Institution
Keck Sch. of Med., Inst. of Neuroimaging & Inf., Imaging Genetics Center, USC, Los Angeles, CA, USA
fYear
2014
fDate
April 29 2014-May 2 2014
Firstpage
706
Lastpage
709
Abstract
Hemispherectomy is a surgical procedure for severe cases of epilepsy where an entire brain hemisphere is resected. Many patients maintain relatively normal cognitive function. Understanding how the brain´s connections are organized in such cases is of interest and has not yet been explored. Using diffusion tensor imaging, we analyzed structural brain networks using various topological measures derived from brain connectivity matrices, to understand neural architecture in children with one brain hemisphere. We examined two measures derived from graph theory, global efficiency and modularity, using a k-core decomposition algorithm to compare two tractography methods and found distinctions in overall brain connectivity when comparing the two methods. While a normal control group was not available for direct comparison, this pilot study shows that it is feasible to study cortical connectivity in hemispherectomy patients.
Keywords
biodiffusion; biomedical MRI; brain; cognition; graph theory; neurophysiology; paediatrics; surgery; brain hemisphere; children; cortical connectivity; diffusion tensor imaging; epilepsy; global efficiency; global modularity; graph theory; hemispherectomy patients; k-core decomposition algorithm; neural architecture; normal cognitive function; structural brain connectivity matrices; structural brain networks; surgical procedure; topological measurement; Biomedical imaging; Correlation; Diffusion tensor imaging; Educational institutions; Matrix decomposition; Optical fiber networks; Optical fiber theory; brain connectivity; diffusion tensor imaging (DTI); hemispherectomy; k-core; structural network;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on
Conference_Location
Beijing
Type
conf
DOI
10.1109/ISBI.2014.6867968
Filename
6867968
Link To Document