ALTERED STRUCTURAL BRAIN NETWORK TOPOLOGY IN INFANTS WITH INTRAUTERINE GROWTH RESTRICTION

被引:0
|
作者
Batalle, Dafnis [1 ]
Eixarch, Elisenda [2 ]
Munoz-Moreno, Emma [2 ]
Figueras, Francese [2 ]
Amat-Roldan, Ivan [2 ]
Gratacos, Eduard [3 ]
机构
[1] Hosp Clin Barcelona, Dept Maternal Fetal Med, Inst Clin Ginecol Obstet & Neonatol ICGON, Barcelona, Spain
[2] Univ Barcelona, IDIBAPS, E-08007 Barcelona, Spain
[3] CIBER ER, Barcelona, Spain
来源
2012 9TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI) | 2012年
关键词
Complex networks; diffusion tensor imaging; graph theory; brain modeling; SEGMENTATION;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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 modem 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.
引用
收藏
页码:554 / 557
页数:4
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