DocumentCode
2569208
Title
Altered structural brain network topology in infants with intrauterine growth restriction
Author
Batalle, Dafnis ; Eixarch, Elisenda ; Muñoz-Moreno, Emma ; Figueras, Francese ; Amat-Roldan, Ivan ; Gratacos, Eduard
Author_Institution
Dept. of Maternal-Fetal Med., Univ. of Barcelona, Barcelona, Spain
fYear
2012
fDate
2-5 May 2012
Firstpage
554
Lastpage
557
Abstract
Intrauterine growth restriction (IUGR) due to placental insufficiency is associated with a wide range of short- and long-term neurodevelopmental disorders. Prediction of neurodevelopmental outcomes in IUGR is among the clinical challenges of modern fetal medicine and pediatrics. In this paper we analyze brain networks obtained from diffusion MRI of a prospective cohort of one year old infants (32 controls and 24 IUGR) and demonstrate the existence of quantifiable brain reorganization of white matter circuitry in IUGR group by means of graph theory features of brain networks. We also introduce novel graph theory measure of segregation of regional networks and apply it to our sample, finding it a useful measure to find differences in case-control studies. These findings show the potential of diffusion MRI based connectomics and graph theory based network characteristics for estimating differences in the architecture of neural circuitry.
Keywords
biodiffusion; biomedical MRI; brain; graph theory; medical disorders; medical image processing; neurophysiology; paediatrics; IUGR group; altered structural brain network topology; brain networks; brain reorganization; diffusion MRI based connectomics; fetal medicine; graph theory based network characteristics; graph theory measurement; infants; intrauterine growth restriction; long-term neurodevelopmental disorders; neural circuitry architecture; pediatrics; regional network segregation; short-term neurodevelopmental disorders; white matter circuitry; Biomedical imaging; Brain; Diffusion tensor imaging; Graph theory; Image segmentation; Pediatrics; Complex networks; brain modeling; diffusion tensor imaging; graph theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on
Conference_Location
Barcelona
ISSN
1945-7928
Print_ISBN
978-1-4577-1857-1
Type
conf
DOI
10.1109/ISBI.2012.6235608
Filename
6235608
Link To Document