• 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