Your browser doesn't support javascript.
loading
Postnatal age-related change of brain volume and its association with neurobehavior outcome in term neonates / 西安交通大学学报(医学版)
Article in Zh | WPRIM | ID: wpr-1021155
Responsible library: WPRO
ABSTRACT
Objective To analyze the relationship of the volume of 87 brain regions with postnatal age and neurobehavior in full-term neonates.Methods A total of 75 full-term newborns[gestational age(39.38±1.22)weeks;male/female(51/24);postnatal age(11.11±6.67)days]without abnormalities on brain MRI(three-dimensional T1-weighted imaging,3D T1WI)at our hospital between November 2010 and September 2017 were retrospectively included.Based on the template of 87 brain regions,the neonatal brains were divided into 87 brain regions and their volumes were calculated by using V-shape Bottleneck network(VB-Net)deep learning segmentation technique,Pearson partial correlation and regression analysis were used to explore the relationship of the volume of each brain region with postnatal age and neurobehavioral scores.Results After adjusting for gestational age,birth weight,head circumference,body length and sex,66.7%of the regional brain volumes(58/87 brain regions)significantly increased with the postnatal age(correlation coefficient r:0.2-0.7,P<0.05).The volumes of gray matter in bilateral lentiform nucleus,left caudate nucleus,right occipital lobe,right inferior temporal lobe,and bilateral anterior temporal lobe strongly correlated with the postnatal age(r>0.50,P<0.05).The gray matter volume of the right occipital lobe linearly increased with age(slope:100.67),and was positively correlated with behavioral scores(r=0.324,P<0.01).Conclusion Most of regional brain volumes increase with the postnatal age during the neonatal period,and the fastest growth occurs in primary sensorimotor-related brain regions,presenting the spatial heterogeneity.Partial brain region grows with the development of behavioral ability.
Key words
Full text: 1 Database: WPRIM Language: Zh Journal: Journal of Xi'an Jiaotong University(Medical Sciences) Year: 2024 Document type: Article
Full text: 1 Database: WPRIM Language: Zh Journal: Journal of Xi'an Jiaotong University(Medical Sciences) Year: 2024 Document type: Article