Abstract #4612
Graph network measures of brain connectivity and its relation with behavior and cognitive performance in preterm-born 6 years-old children
Elda Fischi-Gomez 1,2 , Emma Muoz-Moreno 3 , Lana Vasung 2 , Djalel Eddine Meskaldji 4,5 , Sebastien Urben 6 , Maryline Monnier 7 , Koviljka Barishnikov 6 , Cristina Borradori-Tolsa 2 , Franois Lazeyras 5 , Jean-Philippe Thiran 1,8 , and Petra Susan Hppi 2
1
Signal Processing Laboratory LTS5, Ecole
Polytechnique Federale de Lausanne, Lausanne,
Switzerland,
2
Division
of Child Development and Growth. Department of
Pediatrics, University of Geneva, Geneva, Switzerland,
3
Fetal
and Perinatal Medicine Research Group, Institut
d'Investigacions Biomediques August Pi i Sunyer,
Barcelona, Spain,
4
MIPLab,
Institute of Bioengeneering, Ecole Polytechnique
Federale de Lausanne, Lausanne, Switzerland,
5
Department
of Radiology and Medical Informatics, Faculty of
Medicine, University of Geneva, Geneva, Switzerland,
6
Child
Clinical Neuropsychology Unit, Department of Psychology,
University of Geneva, Geneva, Switzerland,
7
Developmental
Unit. Division of Neonatology (DMCP), University
Hospital Center (CHUV), Lausanne, Switzerland,
8
Department
of Radiology, University Hospital Center (CHUV) and
University of Lausanne (UNIL), Lausanne, Switzerland
We have applied connectome analysis techniques and graph
model-based brain network measures in a group of
prematurely born children, known to be a population at
high risk for structural and functional brain
abnormalities, in order to assess the influence of brain
connectivity on their cognitive capacities and behavior.
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