Extreme prematurity and intra uterine growth restriction effects in brain network topology at school age

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serval:BIB_AFCCA6D315C0
Type
Inproceedings: an article in a conference proceedings.
Publication sub-type
Abstract (Abstract): shot summary in a article that contain essentials elements presented during a scientific conference, lecture or from a poster.
Collection
Publications
Institution
Title
Extreme prematurity and intra uterine growth restriction effects in brain network topology at school age
Title of the conference
ISMRM 2013, 21st Annual Meeting International Society for Magnetic Resonance in Medicine
Author(s)
Fischi Gomez E., Meskaldji Djalel E., Vasung L., Lazeyras F., Thiran J.P., Hüppi P.
Address
Salt Lake City, Utah, United-States, April 20-26, 2013
ISBN
1557-3672
Publication state
Published
Issued date
2013
Volume
21
Series
Proceedings of the International Society for Magnetic Resonance in Medicine
Pages
2964
Language
english
Notes
EPFL-CONF-185811
Abstract
Higher risk for long-term behavioral and emotional
sequelae, with attentional problems (with or without
hyperactivity) is now becoming one of the hallmarks of
extreme premature (EP) birth and birth after pregancy
conditions leading to poor intra uterine growth
restriction (IUGR) [1,2]. However, little is know so far
about the neurostructural basis of these complexe brain
functional abnormalities that seem to have their origins
in early critical periods of brain development. The
development of cortical axonal pathways happens in a
series of sequential events. The preterm phase (24-36
post conecptional weeks PCW) is known for being crucial
for growth of the thalamocortical fiber bundles as well
as for the development of long projectional, commisural
and projectional fibers [3]. Is it logical to expect,
thus, that being exposed to altered intrauterine
environment (altered nutrition) or to extrauterine
environment earlier that expected, lead to alterations in
the structural organization and, consequently, alter the
underlying white matter (WM) structure. Understanding
rate and variability of normal brain development, and
detect differences from typical development may offer
insight into the neurodevelopmental anomalies that can be
imaged at later stages. Due to its unique ability to
non-invasively visualize and quantify in vivo white
matter tracts in the brain, in this study we used
diffusion MRI (dMRI) tractography to derive brain graphs
[4,5,6]. This relatively simple way of modeling the brain
enable us to use graph theory to study topological
properties of brain graphs in order to study the effects
of EP and IUGR on childrens brain connectivity at age 6
years old.
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06/01/2014 21:46
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20/08/2019 16:19
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