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Abstract #3459

The influence of birth weight on brain network construction in neonates

Yajie Hu 1,2 , Xianjun Li 1,2 , Mengye Lyu 1,2 , Yanyan Li 1 , Huan Li 1 , Miaomiao Wang 1 , and Jian Yang 1,2

1 Department of Diagnostic Radiology, The First Hospital of Medical School, Xi'an Jiaotong University, Xi'an, Shaanxi, China, 2 Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China

The aim of this study was to set the birth weight as a independent factor for detecting the variation of brain structural connectivity based on 3D T1WIs in neonates by the structural covariance networks analysis. The preterm and full term neonates were respectively divided into the low and normal birth weight groups (<2500g and 2500-4000g) which matched with the postmenstrual age. The results shown that the degree, global efficiency and local efficiency in brains of normal birth weight were higher than those of low birth weight whether in full-term or in preterm groups. So the birth weight maybe provide a significant influence on the network construction.

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