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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